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FFO_Freedom
Posted - December 5, 2022 at 9:15 PM
Saved - July 19, 2023 at 4:30 PM
reSee.it AI Summary
The extensive censorship operation on Twitter during elections involves coordination among the government, tech platforms, academia, and NGOs. Initially aimed at countering foreign disinformation, it shifted to a domestic focus after Russiagate. Key figures like Kate Starbird and Vijaya Gadde played significant roles in censoring stories like the Hunter Biden Laptop scandal. The censorship framework explicitly aimed to hinder populist mobilization and mainstream coverage. Additionally, the Twitter Files revealed the involvement of former FBI General Counsel James Baker, who also led the National Task Force on Election Crises. The Transition Integrity Project, linked to NTFEC, planned to provoke a constitutional crisis if Biden lost the election. They even considered using Black Lives Matter protesters to force Trump out of office. TIP sought to reduce Trump's media access and end the tradition of legal immunity for past Presidents. NFTEC, where Baker was involved, pressured news media to cover election crisis events favoring the Biden campaign.

@FFO_Freedom - Foundation For Freedom Online

TWITTER FILES 1.0 THREAD: A comprehensive breakdown of the first release 👇 Twitter's election censorship operation is far more extensive than yet reported. Here's how it works:

@FFO_Freedom - Foundation For Freedom Online

2. The first thing to understand is that the Censorship Industry has been constructed using a "Whole-Of-Society" model. That means censorship is coordinated through the government, the private sector (tech platforms), and civil society (academia, NGOs) working together:

Video Transcript AI Summary
Addressing disinformation requires a whole of society approach. It's not something that can be fixed by governments alone. This is a challenge recognized by some countries in Europe and North America. To combat disinformation, governments, multilateral institutions, social media platforms, and political leaders need to work together. Democracy relies on a healthy information space achieved through a collective effort. Countering disinformation requires a whole of society response, involving the private sector, public sector, and civil society. Cooperation from tech platforms and enforcement of terms of service are crucial, but government involvement is also necessary. The solution lies in a comprehensive approach that acknowledges the problem and involves all stakeholders.
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Speaker 0: From a systems standpoint, and we hear this term all the time, a problem like disinformation, fighting disinformation really requires a whole of society response. And I know whole of society is a little bit cliche and a term that gets thrown around a lot. Speaker 1: Addressing disinformation requires a whole of society approach. This information is not going to be fixed, by governments acting alone. I think, we've seen that a whole society effort, is really key to the solution. Speaker 2: There are some countries, more so in Europe or up in, in, in, in other parts of North America that are more progressive in recognizing that this is a whole of society challenge. Speaker 1: Whole of society approach and what would be your wish list if you if you could if you could implement anything. Or to be able to trust When somebody tells them it's fake. Is there anything that governments can do on that front? Absolutely. This is a whole of society problem. So There's things that governments can do, you know, individual, national governments, and and multilateral institutions. Speaker 3: Disinformation challenges to democracy require that we work together as a community to share our experiences and to hold governments, social media platforms, and political leaders accountable for making sure that people are empowered with information that is real and accurate. Democracy depends on a healthy information space that can only be achieved through a whole of society effort. Speaker 1: Countering disinformation. We often talk about a whole of society response. Of course we need disinformation. Speaker 3: A whole of society approach. I wanna get into the whole of society response, the whole of society networked response, private sector, public sector, civil society. Speaker 1: The means that we're circulating, And that, to me, is the whole of society approach. I think the solution has to be whole of society, which is the word that we throw around a lot, Especially in venues like these, right? We need cooperation from the tech platforms, good faith cooperation and enforcement of terms of service. But we also need people in the government who are willing to say, yes. This is a problem, and it's not just about foreign

@FFO_Freedom - Foundation For Freedom Online

3. The "Whole-Of-Society" censorship model was cobbled together after the 2016 election under pretext of fighting "foreign disinformation" on Twitter and Facebook. But after Russiagate fell apart in summer 2019, the entire infrastructure was shifted to a "domestic" focus:

Video Transcript AI Summary
The Russians have weaponized social media by manipulating public opinion through biased or fake stories. However, domestic disinformation is also a significant issue. In 2016, the Russian efforts may not have been very sophisticated, but they learned that they don't need to create the content themselves as there are people in the US who will do it. There were two types of disinformation attacks in 2016: the Internet Research Agency created personas to take over existing US groups and push radical positions. However, the majority of these problems are domestic, related to how we interact online, political speech, amplification, and how politicians use platforms. The domestic threat of disinformation is the most significant immediate threat to the 2020 election.
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Speaker 0: What the Russians have done is weaponized, social media. The issue is not just the Russians, but frankly, domestic disinformation. Speaker 1: How do you think that they've weaponized social media? Speaker 0: Literally using it to manipulate public opinion, to put stories out that are biased or phony in order to drive public opinion a certain way. Probably more domestic generation of disinformation content is occurring in foreign. Frank, I think in in 2016, it wasn't that clear that the Russian efforts in terms of the actual persuasiveness of the content was all that sophisticated. I think what the Russians may well have learned is they don't have to make the content up. We have people in the US who will do it. Speaker 2: There's really 2 totally different disinformation attacks in 2016. The Internet Research Agency created these personas to, Take over existing groups in the United States. And then once they had established that, they would then try to push the most radical possible position. I think we talk way too much about foreign influence. I'm gonna be honest. I think we talk way too much about it because it's sexy and it's fun and it's it's a little bit cold worry. But the truth is that the vast majority of these problems, okay, the problems are information environment are domestic problems. They're problems in how, We interact with each other of the norms that have been created about online political speech, about amplification issues, about how now politicians are utilizing platforms. And so I think, we we have like an 80 20 breakdown of 80%. We talk about foreign and 20 domestic. I think that needs to be Speaker 3: The Kremlin's influence operations has a particular resonance for me because in June of 2016, I broke the story of the Russian hack of Speaker 4: the Democratic National Committee. Even though I'm sort of a national street reporter and a little more focused on the foreign side, I think the most significant immediate threat to the 2020 election is the domestic threat, domestic disinformation, domestic influence, whatever you want to call it. Speaker 1: We are lost. It's just because of this little pity pinprick that was put in by a foreign country. It's overwhelmingly more domestic And foreign, this time around in 2020, they must wonder what they could possibly say that would change anyone's mind that's not already being said in the American landscape.

@FFO_Freedom - Foundation For Freedom Online

4. Kate Starbird, head of the UW disinfo lab and major censorship coordinator with both Twitter and the US government, lays out how her hivemind saw the operation here: Note she explicitly targets "everyday people" and concedes that there wasn't the political will at first:

Video Transcript AI Summary
In this video, the speaker discusses the evolution of disinformation in the context of the 2016 and 2020 elections. In 2016, the focus was on foreign disinformation, primarily from Russia, spread through fake accounts and coordinated efforts. However, in the 2020 US election, the disinformation was mostly domestic, originating from authentic accounts, including verified pundits and everyday people. While there were some foreign activities, they played a minor role. The disinformation campaign was not entirely coordinated but rather cultivated and organic, with blue check accounts being major spreaders. This shift highlights the changing nature of disinformation and the need to address it from a different perspective.
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Speaker 0: I wanna talk a little bit about, a tale of 2 elections. I wanna set up 2020, but first I wanna go back a little bit in time to 2016 in the United States, because I think it kind of reveals a little bit in the evolution of the story of this information, and how we as a research community are thinking about disinformation. And so 2016, we had Brexit, there were some other things going on. And when we think in the U. S. About the U. S. Election in 2016, when we think about the story of disinformation in that election, we think of it predominantly as one of of disinformation that was foreign in origin, perpetrated by inauthentic actors, networks of fake accounts, and coordinated by various agencies in Russia. The social media port part of that disinformation campaign was foreign, inauthentic, and coordinated. You know, bots and trolls. It was a really easy focus for us, that allowed us to kind of, isolate this external problem that we have to come together to solve. And I think it was very, simplistic and strategic and politically easier to discuss in those terms. Now fast forward to 2020, we saw a very different story around disinformation in the US election. It was largely domestic coming from inside the United States. There were foreign activities that are part of these conversations, but they weren't playing a major role. Most of the accounts perpetrating this in this not even the accounts, most of the entities perpetrating this disinformation campaign as as we and and Banco and colleagues saw it, where, they are authentic accounts. They were often blue check and verified accounts. They're pundits on cable television shows that were who they said they were along with, you know, some other anonymous members of the connected crowd online. But a lot of the major spreaders were blue check accounts And it wasn't entirely coordinated. But instead, it was largely sort of cultivated and even organic in places with everyday people creating and spreading Disinformation about the election.

@FFO_Freedom - Foundation For Freedom Online

5. The Twitter Files 1.0 release from @mtaibbi show Vijaya Gadde coordinated the censorship of the Hunter Biden Laptop story before the 2020 election. In 2021, after the election, Gadde was tapped by Biden's DHS to run its censorship advisory committee, alongside Kate Starbird:

@FFO_Freedom - Foundation For Freedom Online

6. This is important: the formal framework Starbird and Gadde worked under to censor the 2020 election explicitly set out censorship as a way to stop populists from mobilizing "protests," "legal action" and "mainstream coverage": Source: https://stacks.stanford.edu/file/druid:tr171zs0069/EIP-Final-Report.pdf#page=169

@FFO_Freedom - Foundation For Freedom Online

7. The Twitter Files 1.0 release focus was on the FBI, and specifically former FBI General Counsel James Baker, who was then hired by Twitter as its Deputy General Counsel. @JonathanTurley had an excellent write-up here of Baker's backstory here: https://jonathanturley.org/2022/12/04/six-degrees-from-james-baker-a-familiar-figure-reemerges-with-the-release-of-the-twitter-files/

Six Degrees from James Baker: A Familiar Figure Reemerges With the Release of the Twitter Files Below is my column in the New York Post on the reemergence of James Baker, the former FBI general counsel, at the center of the Twitter suppression scandal. Here is the column: As thousands of Twitter documents are released on the company’s infamous censorship program, much has been confirmed about the use of back channels… jonathanturley.org

@FFO_Freedom - Foundation For Freedom Online

8. What is lesser known about Jim Baker, and which mainstream news is not currently appreciating, is that in the run-up to the 2020 election, Baker was also leading the National Task Force on Election Crises (NTFEC).

@FFO_Freedom - Foundation For Freedom Online

9. NTFEC was a sort of 'sister organization' to a notoriously shady outfit also created at the same time called the Transition Integrity Project (TIP). TIP spent summer 2020 wargaming how to overturn election results if candidate Trump won the election: https://www.documentcloud.org/documents/7013152-Preventing-a-Disrupted-Presidential-Election-and

Preventing a Disrupted Presidential Election and Transition 8 3 20 documentcloud.org

@FFO_Freedom - Foundation For Freedom Online

10. Incredibly, TIP, which shared the same explicit aims and many overlapping members with NTFEC, premeditated a scenario in summer 2020 in which the Biden team would provoke a constitutional crisis on January 6 if Biden lost the election:

@FFO_Freedom - Foundation For Freedom Online

11. Even more incredibly, Jim Baker's sister network at TIP explicitly plotted to use Black Lives Matters protesters as a battering ram for the Biden faction to force Trump out of office, had Trump won the electoral college on Election Night 2020:

@FFO_Freedom - Foundation For Freedom Online

12. Just so no one misses the fine print, TIP sought to mobilize "racial justice activists" for "a Biden call to take to the streets," probing "the Biden campaign's ability to control these actors" if street muscle was needed to destabilize a Trump election win:

@FFO_Freedom - Foundation For Freedom Online

13. TIP, using the same "securing elections" pretext as Jim Baker's NFTEC, similarly threw off their nonpartisan cloak with inserts about how to stop "Trumpism" after the election. They specifically plotted how to reduce Trump's access to media to stop him from running again:

@FFO_Freedom - Foundation For Freedom Online

14. Even in August 2020 (when TIP published their election crisis blueprint), they were plotting "investigations and possible charges" against Trump and ending the "the tradition of offering legal immunity" to past Presidents. This was 3 months *before* the 2020 election:

@FFO_Freedom - Foundation For Freedom Online

15. What was Jim Baker, star of Twitter Files 1.0, doing over at NFTEC while TIP was cooking up an election crisis blueprint? NFTEC was pressuring news media and journalists on *how to cover* election crisis events in the Biden campaign's favor: https://www.youtube.com/watch?v=I2JmWUP1qOE

bariweiss
Posted - December 9, 2022 at 12:15 AM
Saved - September 8, 2023 at 8:17 AM
reSee.it AI Summary
A recent investigation reveals Twitter's secret blacklists, where employees limit the visibility of accounts and prevent disfavored tweets from trending. These actions contradict Twitter's mission of free expression. Examples include blocking tweets from Stanford's Dr. Jay Bhattacharya and right-wing talk show host Dan Bongino. Twitter denies shadow banning but admits to "visibility filtering," controlling what users see. The Strategic Response Team and SIPPES make politically sensitive decisions. The story continues to unfold. Access to Twitter's files sheds light on these practices.

@bariweiss - Bari Weiss

THREAD: THE TWITTER FILES PART TWO. TWITTER’S SECRET BLACKLISTS.

@bariweiss - Bari Weiss

1. A new #TwitterFiles investigation reveals that teams of Twitter employees build blacklists, prevent disfavored tweets from trending, and actively limit the visibility of entire accounts or even trending topics—all in secret, without informing users.

@bariweiss - Bari Weiss

2. Twitter once had a mission “to give everyone the power to create and share ideas and information instantly, without barriers.” Along the way, barriers nevertheless were erected.

@bariweiss - Bari Weiss

3. Take, for example, Stanford’s Dr. Jay Bhattacharya (@DrJBhattacharya) who argued that Covid lockdowns would harm children. Twitter secretly placed him on a “Trends Blacklist,” which prevented his tweets from trending.

@bariweiss - Bari Weiss

4. Or consider the popular right-wing talk show host, Dan Bongino (@dbongino), who at one point was slapped with a “Search Blacklist.”

@bariweiss - Bari Weiss

5. Twitter set the account of conservative activist Charlie Kirk (@charliekirk11) to “Do Not Amplify.”

@bariweiss - Bari Weiss

6. Twitter denied that it does such things. In 2018, Twitter's Vijaya Gadde (then Head of Legal Policy and Trust) and Kayvon Beykpour (Head of Product) said: “We do not shadow ban.” They added: “And we certainly don’t shadow ban based on political viewpoints or ideology.”

@bariweiss - Bari Weiss

7. What many people call “shadow banning,” Twitter executives and employees call “Visibility Filtering” or “VF.” Multiple high-level sources confirmed its meaning.

@bariweiss - Bari Weiss

8. “Think about visibility filtering as being a way for us to suppress what people see to different levels. It’s a very powerful tool,” one senior Twitter employee told us.

@bariweiss - Bari Weiss

9. “VF” refers to Twitter’s control over user visibility. It used VF to block searches of individual users; to limit the scope of a particular tweet’s discoverability; to block select users’ posts from ever appearing on the “trending” page; and from inclusion in hashtag searches.

@bariweiss - Bari Weiss

10. All without users’ knowledge.

@bariweiss - Bari Weiss

11. “We control visibility quite a bit. And we control the amplification of your content quite a bit. And normal people do not know how much we do,” one Twitter engineer told us. Two additional Twitter employees confirmed.

@bariweiss - Bari Weiss

12. The group that decided whether to limit the reach of certain users was the Strategic Response Team - Global Escalation Team, or SRT-GET. It often handled up to 200 "cases" a day.

@bariweiss - Bari Weiss

13. But there existed a level beyond official ticketing, beyond the rank-and-file moderators following the company’s policy on paper. That is the “Site Integrity Policy, Policy Escalation Support,” known as “SIP-PES.”

@bariweiss - Bari Weiss

14. This secret group included Head of Legal, Policy, and Trust (Vijaya Gadde), the Global Head of Trust & Safety (Yoel Roth), subsequent CEOs Jack Dorsey and Parag Agrawal, and others.

@bariweiss - Bari Weiss

15. This is where the biggest, most politically sensitive decisions got made. “Think high follower account, controversial,” another Twitter employee told us. For these “there would be no ticket or anything.”

@bariweiss - Bari Weiss

16. One of the accounts that rose to this level of scrutiny was @libsoftiktok—an account that was on the “Trends Blacklist” and was designated as “Do Not Take Action on User Without Consulting With SIP-PES.”

@bariweiss - Bari Weiss

17. The account—which Chaya Raichik began in November 2020 and now boasts over 1.4 million followers—was subjected to six suspensions in 2022 alone, Raichik says. Each time, Raichik was blocked from posting for as long as a week.

@bariweiss - Bari Weiss

18. Twitter repeatedly informed Raichik that she had been suspended for violating Twitter’s policy against “hateful conduct.”

@bariweiss - Bari Weiss

19. But in an internal SIP-PES memo from October 2022, after her seventh suspension, the committee acknowledged that “LTT has not directly engaged in behavior violative of the Hateful Conduct policy." See here:

@bariweiss - Bari Weiss

20. The committee justified her suspensions internally by claiming her posts encouraged online harassment of “hospitals and medical providers” by insinuating “that gender-affirming healthcare is equivalent to child abuse or grooming.”

@bariweiss - Bari Weiss

21. Compare this to what happened when Raichik herself was doxxed on November 21, 2022. A photo of her home with her address was posted in a tweet that has garnered more than 10,000 likes.

@bariweiss - Bari Weiss

22. When Raichik told Twitter that her address had been disseminated she says Twitter Support responded with this message: "We reviewed the reported content, and didn't find it to be in violation of the Twitter rules." No action was taken. The doxxing tweet is still up.

@bariweiss - Bari Weiss

23. In internal Slack messages, Twitter employees spoke of using technicalities to restrict the visibility of tweets and subjects. Here’s Yoel Roth, Twitter’s then Global Head of Trust & Safety, in a direct message to a colleague in early 2021:

@bariweiss - Bari Weiss

24. Six days later, in a direct message with an employee on the Health, Misinformation, Privacy, and Identity research team, Roth requested more research to support expanding “non-removal policy interventions like disabling engagements and deamplification/visibility filtering.”

@bariweiss - Bari Weiss

25. Roth wrote: “The hypothesis underlying much of what we’ve implemented is that if exposure to, e.g., misinformation directly causes harm, we should use remediations that reduce exposure, and limiting the spread/virality of content is a good way to do that.”

@bariweiss - Bari Weiss

26. He added: “We got Jack on board with implementing this for civic integrity in the near term, but we’re going to need to make a more robust case to get this into our repertoire of policy remediations – especially for other policy domains.”

@bariweiss - Bari Weiss

27. There is more to come on this story, which was reported by @abigailshrier @shellenbergermd @nelliebowles @isaacgrafstein and the team The Free Press @thefp. Keep up with this unfolding story here and at our brand new website: http://thefp.com.

The Free Press A new media company built on the ideals that were once the bedrock of American journalism. thefp.com

@bariweiss - Bari Weiss

28. The authors have broad and expanding access to Twitter’s files. The only condition we agreed to was that the material would first be published on Twitter.

@bariweiss - Bari Weiss

29. We're just getting started on our reporting. Documents cannot tell the whole story here. A big thank you to everyone who has spoken to us so far. If you are a current or former Twitter employee, we'd love to hear from you. Please write to: tips@thefp.com

@bariweiss - Bari Weiss

30. Watch @mtaibbi for the next installment.

davidzweig
Posted - December 26, 2022 at 2:10 PM
Saved - September 17, 2023 at 12:59 AM
reSee.it AI Summary
The Twitter Files reveal how Twitter manipulated the COVID debate. They censored inconvenient truths, discredited dissenting experts, and suppressed users sharing CDC data. Both Trump and Biden administrations pressured Twitter to moderate pandemic content. Twitter's biased moderation led to the suppression of legitimate views and questions. Bots and non-expert contractors made errors, while higher-level employees showed individual and collective bias. Dissenting content was labeled as misinformation, and doctors' accounts were suspended. Twitter prioritized public health authorities' narrative, suppressing alternative perspectives. A more open debate on social media could have shaped the pandemic differently.

@davidzweig - David Zweig

1. THREAD: THE TWITTER FILES: HOW TWITTER RIGGED THE COVID DEBATE – By censoring info that was true but inconvenient to U.S. govt. policy – By discrediting doctors and other experts who disagreed – By suppressing ordinary users, including some sharing the CDC’s *own data*

@davidzweig - David Zweig

2. So far the Twitter Files have focused on evidence of Twitter’s secret blacklists; how the company functioned as a kind of subsidiary of the FBI; and how execs rewrote the platform’s rules to accommodate their own political desires.

@davidzweig - David Zweig

3. What we have yet to cover is Covid. This reporting, for The Free Press, @thefp, is one piece of that important story.

@davidzweig - David Zweig

4. The United States government pressured Twitter and other social media platforms to elevate certain content and suppress other content about Covid-19.

@davidzweig - David Zweig

5. Internal files at Twitter that I viewed while on assignment for @thefp showed that both the Trump and Biden administrations directly pressed Twitter executives to moderate the platform’s pandemic content according to their wishes.

@davidzweig - David Zweig

6. At the onset of the pandemic, according to meeting notes, the Trump admin was especially concerned about panic buying. They came looking for “help from the tech companies to combat misinformation” about “runs on grocery stores.” But . . . there were runs on grocery stores.

@davidzweig - David Zweig

7. It wasn’t just Twitter. The meetings with the Trump White House were also attended by Google, Facebook, Microsoft and others.

@davidzweig - David Zweig

8. When the Biden admin took over, one of their first meeting requests with Twitter executives was on Covid. The focus was on “anti-vaxxer accounts.” Especially Alex Berenson:

@davidzweig - David Zweig

9. In the summer of 2021, president Biden said social media companies were “killing people” for allowing vaccine misinformation. Berenson was suspended hours after Biden’s comments, and kicked off the platform the following month.

@davidzweig - David Zweig

10. Berenson sued (and then settled with) Twitter. In the legal process Twitter was compelled to release certain internal communications, which showed direct White House pressure on the company to take action on Berenson. ​​https://alexberenson.substack.com/p/jesse-jackson-cant-swim

Jesse Jackson can't swim* *Don't shoot me, it's the punchline to an old (and not racist) joke alexberenson.substack.com

@davidzweig - David Zweig

11. A December 2022 summary of meetings with the White House by Lauren Culbertson, Twitter’s Head of U.S. Public Policy, adds new evidence of the White House’s pressure campaign, and cements that it repeatedly attempted to directly influence the platform.

@davidzweig - David Zweig

12. Culbertson wrote that the Biden team was “very angry” that Twitter had not been more aggressive in deplatforming multiple accounts. They wanted Twitter to do more.

@davidzweig - David Zweig

13. Twitter executives did not fully capitulate to the Biden team’s wishes. An extensive review of internal communications at the company revealed employees often debating moderation cases in great detail, and with more care than was shown by the government toward free speech.

@davidzweig - David Zweig

14. But Twitter did suppress views—many from doctors and scientific experts—that conflicted with the official positions of the White House. As a result, legitimate findings and questions that would have expanded the public debate went missing.

@davidzweig - David Zweig

15. There were three serious problems with Twitter’s process: First, much of the content moderation was conducted by bots, trained on machine learning and AI – impressive in their engineering, yet still too crude for such nuanced work.

@davidzweig - David Zweig

16. Second, contractors, in places like the Philippines, also moderated content. They were given decision trees to aid in the process, but tasking non experts to adjudicate tweets on complex topics like myocarditis and mask efficacy data was destined for a significant error rate

@davidzweig - David Zweig

17 Third, most importantly, the buck stopped with higher level employees at Twitter who chose the inputs for the bots and decision trees, and subjectively decided escalated cases and suspensions. As it is with all people and institutions, there was individual and collective bias

@davidzweig - David Zweig

18. With Covid, this bias bent heavily toward establishment dogmas.

@davidzweig - David Zweig

19. Inevitably, dissident yet legitimate content was labeled as misinformation, and the accounts of doctors and others were suspended both for tweeting opinions and demonstrably true information.

@davidzweig - David Zweig

20. Exhibit A: Dr. Martin Kulldorff, an epidemiologist at Harvard Medical School, tweeted views at odds with US public health authorities and the American left, the political affiliation of nearly the entire staff at Twitter.

@davidzweig - David Zweig

21. Internal emails show an “intent to action” by a moderator, saying Kulldorff’s tweet violated the company’s Covid-19 misinformation policy and claimed he shared “false information.”

@davidzweig - David Zweig

22. But Kulldorff’s statement was an expert’s opinion—one which also happened to be in line with vaccine policies in numerous other countries. Yet it was deemed “false information” by Twitter moderators merely because it differed from CDC guidelines.

@davidzweig - David Zweig

23. After Twitter took action, Kulldorff’s tweet was slapped with a “Misleading” label and all replies and likes were shut off, throttling the tweet’s ability to be seen and shared by many people, the ostensible core function of the platform:

@davidzweig - David Zweig

24. In my review of internal files, I found countless instances of tweets labeled as “misleading” or taken down entirely, sometimes triggering account suspensions, simply because they veered from CDC guidance or differed from establishment views.

@davidzweig - David Zweig

25. A tweet by @KelleyKga, a self-proclaimed public health fact checker, with 18K followers, was flagged as “Misleading,” and replies and likes disabled, even though it displayed the CDC’s *own data.*

@davidzweig - David Zweig

26. Internal records showed that a bot had flagged the tweet, and that it received many “tattles” (what the system amusingly called reports from users). That triggered a manual review by a human who– despite the tweet showing actual CDC data–nevertheless labeled it “Misleading”

@davidzweig - David Zweig

27. Tellingly, the tweet by @KelleyKga that was labeled “Misleading” was a reply to a tweet that contained actual misinformation. Covid has never been the leading cause of death from disease in children. Yet that tweet remains on the platform, and without a “misleading” label.

@davidzweig - David Zweig

28. Whether by humans or algorithms, content that was contrarian but true was still subject to getting flagged or suppressed This tweet was labeled “Misleading,” even though the owner of this account, @_euzebiusz_, a physician, was referring to the results of a published study

@davidzweig - David Zweig

29. Andrew Bostom, a Rhode Island physician, was permanently suspended from Twitter after receiving multiple strikes for misinformation. One of his strikes was for a tweet referring to the results from a peer reviewed study on mRNA vaccines.

@davidzweig - David Zweig

30. A review of Twitter log files revealed that an internal audit, conducted after Bostom’s attorney contacted Twitter, found that only 1 of Bostom’s 5 violations were valid.

@davidzweig - David Zweig

31. The one Bostom tweet found to still be in violation cited data that was legitimate but inconvenient to the public health establishment’s narrative about the risks of flu versus Covid in children.

@davidzweig - David Zweig

32. That this tweet was not only flagged by a bot, but its violation manually affirmed by a staff member is telling of both the algorithmic and human bias at play. Bostom’s account was suspended for months and was finally restored on Christmas Day.

@davidzweig - David Zweig

33. Another example of human bias run amok was the reaction to this tweet by Trump. Many Trump tweets led to extensive internal debates, and this one was no different.

@davidzweig - David Zweig

34. In a surreal exchange, Jim Baker, at the time Twitter’s Deputy General Counsel, asks why telling people to not be afraid wasn’t a violation of Twitter’s Covid-19 misinformation policy.

@davidzweig - David Zweig

35. Yoel Roth, Twitter’s former head of Trust & Safety, had to explain that optimism wasn’t misinformation.

@davidzweig - David Zweig

36. Remember @KelleyKga with the CDC data tweet? Twitter’s response to her is clarifying: “we will prioritize review and labeling of content that could lead to increased exposure or transmission.”

@davidzweig - David Zweig

37. Twitter made a decision, via the political leanings of senior staff, and govt pressure, that the public health authorities’ approach to the pandemic – prioritizing mitigation over other concerns – was “The Science” . . .

@davidzweig - David Zweig

38. Information that challenged that view, such as showing harms of vaccines, or that could be perceived as downplaying the risks of Covid, especially to children, was subject to moderation, and even suppression. No matter whether such views were correct or adopted abroad.

@davidzweig - David Zweig

39. What might this pandemic and its aftermath have looked like if there had been a more open debate on Twitter and other social media platforms—not to mention the mainstream press—about the origins of Covid, about lockdowns, about the true risks of Covid in kids, and much more?

@davidzweig - David Zweig

40. Thanks to @ShellenbergerMD, @lwoodhouse, @lhfang and the team @thefp for their help reporting this story.

@davidzweig - David Zweig

41. An expanded version of this thread is available now @thefp! https://www.thefp.com/p/how-twitter-rigged-the-covid-debate

How Twitter Rigged the Covid Debate The platform suppressed true information from doctors and public-health experts that was at odds with U.S. government policy. thefp.com
VigilantFox
Posted - March 9, 2023 at 11:53 PM
Saved - March 10, 2023 at 6:46 AM

@VigilantFox - The Vigilant Fox 🦊

.@ShellenbergerMD Condemns the Secret Twitter Blacklists Used to Suppress Distinguished Scientists "Professor @DrJBhattacharya had no idea he was on it. I mean, this is East Germany, Stasi kind of behavior. That's what this is."

Video Transcript AI Summary
Stanford professor Jay Bhattacharya, a respected epidemiologist, was visibility filtered and placed on a secret blacklist. This blacklist was used to deplatform and reduce visibility for doctors and scientists who shared information contradicting the CDC's narrative. Despite the fact that their information was scientifically valid, they were targeted. Professor Bhattacharya was unaware of being on this blacklist, which is reminiscent of the behavior of the East Germany Stasi.
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Full Transcript
Speaker 0: Jay Bhattacharya, the Stanford professor, who I don't think anybody considers a fringe epidemiologist, was indeed I'm sorry. I couldn't I didn't piece it together. He's he was indeed, visibility filtered. Speaker 1: Correct. And so this blacklist that was created that really was used to, deplatform, reduce visibility Yes. Create lists internally where people couldn't even see their profiles. That was used against doctors and scientists who produced information that was contrary to what the CDC was putting out despite the fact that we now know that what they were publishing had scientific basis and, in fact, was valid. Speaker 0: Absolutely, and not only that, but these are secret blacklists, so professor Bhattacharya had no idea he was on it. I mean, this is East Germany Stasi kind of behavior. That's what this is.
The1Parzival
Posted - May 11, 2023 at 3:45 AM
Saved - July 27, 2023 at 12:28 AM
reSee.it AI Summary
The Tombstone Generator algorithm on Twitter is causing mass censorship. It controls visibility and includes coding for local laws and withheld media. The intrusive parts of the algorithm need urgent fixing. Users are metaphorically given a tombstone, limiting their visibility. Fact-check the algorithm here: [link]. I used ChatGPT to understand how it censors users. Here's the direct link to the algorithm: [link].

@The1Parzival - THE PARZIVAL

🧵 TWITTER SUPPRESSION ALGORITHM THREAD 🧵 If you have ever been censored on Twitter or other platforms you will want to read this. This Thread will Expose the ALGORITHM LIKELY USED BY TWITTER FOR MASS CENSORSHIP. Let me introduce you to the Tombstone Generator! 💪@elonmusk

@The1Parzival - THE PARZIVAL

Yes, there is really an ALGORITHM that is called "TombstoneGenerator", which is buried deep in the layers of the coding for Twitter. We can see some of the Coding regarding "VISIBILITY" here in the first lines of Code.

@The1Parzival - THE PARZIVAL

Here is some of the following Code expanding on the previous Code pictured above. It has coding for "visibilityParams" and "statsReceiver". Not to mention the Coding for "LocalLawsWithheldMedia".

@The1Parzival - THE PARZIVAL

The final parts of the ALGORITHM seem to be the most intrusive of all the Code. Hopefully this is something @elonmusk and @Twitter can fix with urgency!

@The1Parzival - THE PARZIVAL

It appears that this algorithm is giving Users the Metaphorical Tombstone by the Undertaker when it comes to visibility. If you want to fact check you can start here.

@The1Parzival - THE PARZIVAL

Follow the path to find the Code and check for yourself.

@The1Parzival - THE PARZIVAL

BOOM! 🎤⬇️

@The1Parzival - THE PARZIVAL

🎤⬆️ I decided to plug the TombstoneGenerator Code into ChatGPT and ask how it is used to censor users. Here is the output response I received.

@The1Parzival - THE PARZIVAL

Here is the direct link to the Algo: https://github.com/twitter/the-algorithm/blob/90d7ea370e4db804fb8f57fcb133a84af767dbfb/visibilitylib/src/main/scala/com/twitter/visibility/generators/TombstoneGenerator.scala

Build software better, together GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. github.com

@The1Parzival - THE PARZIVAL

https://t.co/8FMkgXiRIz

@The1Parzival - THE PARZIVAL

https://t.co/PDEeJr7Bzm

@The1Parzival - THE PARZIVAL

https://t.co/8Lkgo9tptx

@The1Parzival - THE PARZIVAL

https://t.co/F6J0ELoUZw

@The1Parzival - THE PARZIVAL

https://t.co/mxYeY2bby0

@The1Parzival - THE PARZIVAL

https://t.co/HMmhkkyuAs

@The1Parzival - THE PARZIVAL

https://t.co/gI0CiiWRmD

@The1Parzival - THE PARZIVAL

https://t.co/ZonSN24lWj

@The1Parzival - THE PARZIVAL

https://t.co/XG16GoaV8l

The1Parzival
Posted - May 15, 2023 at 7:43 PM
Saved - November 8, 2023 at 11:16 PM
reSee.it AI Summary
Twitter's ranking algorithm has been updated recently, with a focus on boosting verified Twitter Blue accounts. However, the boost provided is minimal compared to the penalty for being out of the network. This penalty makes even verified accounts virtually invisible and hinders retweets. Additional parameters like EarlyBird and Blender are also part of the algorithm. Censorship on Twitter is still prevalent, and there are more algorithms contributing to it. Despite the available information, the truth remains obscured until censorship is completely eradicated.

@The1Parzival - THE PARZIVAL

🧵 TWITTER RANKING & BOOST/DEBOOST ALGORITHM THREAD 🧵 📢 SHARE FAR AND WIDE 📢 https://t.co/lc8V9J3P2E

@The1Parzival - THE PARZIVAL

Twitter has been actively updating and modifying its Algorithm Coding since making it open source 2 months ago. We can see the updates on certain parts of the code and the when they happened here. https://t.co/wpdRacdZCg

@The1Parzival - THE PARZIVAL

We can also see that the updated this Ranking Algo last month to make some fixes regarding grammer, BUT MORE IMPORTANTLY TO ADD 1 LINE OF CODE FOR THE BOOST OF VERIFIED TWITTER BLUE USERS. https://t.co/7pfg7T047t

@The1Parzival - THE PARZIVAL

The Algo shows that there was a line of code added to give users an absolutely pitiful boost if they are a verified twitter blue account. THIS LINE OF CODE IS WHAT YOU ARE PAYING $8 FOR! https://t.co/Ugdd5G3hmD

@The1Parzival - THE PARZIVAL

It is evident that this Algorithm is ranking USERS based on large number of parameters, including REPUTATION, YOUR SOCIAL CIRCLE, AND YES, VERIFIED TWITTER BLUE ACCOUNTS. There is even an "OutOfNetworkReplyPenalty" THAT WEIGHS 10X MORE THAN THE BOOST TWITTER BLUE ASSIGNS! https://t.co/JFfCiWJODG

@The1Parzival - THE PARZIVAL

Basically the "OutOfNetworkReplyPenalty" makes you VIRTUALLY INVISIBLE even with your Blue Checkmark. It also keeps Retweets from getting any traction, even if Retweeted by large accounts of 100k+ Followers. There is also Coding for "EarlyBird" and "Blender" Parameters. https://t.co/Hw2guY129u

@The1Parzival - THE PARZIVAL

Looking into the EarlyBird Settings we come accross this information provided by Twiiter on what it is used for. We can see that information here. https://t.co/zlfu5upzQG

@The1Parzival - THE PARZIVAL

It should be clear by now that Censorship on Twitter is far from being eliminated! There are still yet even more Algos that contribute to this which I will continue to expose.

@The1Parzival - THE PARZIVAL

There is so much important information out there, BUT UNTIL WE COMPLETELY END CENSORSHIP THE TRUTH WILL REMAIN IN THE DARK.

xDaily
Posted - June 17, 2023 at 5:01 PM
Saved - December 9, 2023 at 8:57 PM
reSee.it AI Summary
Twitter continues to uncover shadowbans buried deep in its code. Recently, they found a measure that prevented accounts with low 'Reputation scores' from trending, including Elon Musk's account. The Reputation score is based on the number of times an account is reported, regardless of follower count. Elon Musk announced that transparency tools to check for shadowbans are in the works. This follows his previous discovery of keyword-related shadowbans dating back to 2012. Surprisingly, Twitter engineers were unaware of this code until recently.

@xDaily - X News Daily

NEWS: The Twitter team continue to find shadowbans buried deep in the Twitter code. Just last week they found a measure that stopped accounts assigned a low 'Reputation score' from trending. This shadowban even applied to Elon's account and prevented his tweets from trending. https://t.co/6qjO3hXo5p

@xDaily - X News Daily

The Reputation score applied to accounts was simply based on how many times an account was reported. This wasn’t relative to follower count - so anyone with a large following would be hit. Elon said yesterday shadowban transparency tools are coming: https://t.co/DUFJJ2cuyK

@cb_doge - DogeDesigner

Elon Musk confirmed that Twitter is working on a feature which will allow users to see their account status. It will be great because users can check themselves if they are shadowbanned or not & will also get to know the reason for the same. https://t.co/B2w5s7Tpaj

@xDaily - X News Daily

Another example from a few weeks before this new Zuby podcast - Elon explained the Twitter team found some keyword-related shadowbans in code dating back to 2012. https://t.co/Hx4osu1A2T

@TheBabylonBee - The Babylon Bee

@elonmusk @elonmusk reveals he’s still uncovering hidden censorship layers in Twitter’s code. https://t.co/b4B1oBiSZU

Video Transcript AI Summary
When I took over Twitter, I released the Twitter files to show the wrongdoings that had occurred. We believe in transparency and want people to be able to recreate the results they see on Twitter using the algorithm. We recently discovered a hidden layer of censorship from 2012 that suppressed certain words, like "suck," by de-amplifying them. We want to bring everything to light and ensure there are no hidden layers. Transparency is crucial for people to trust us in the future.
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Full Transcript
Speaker 0: One of the craziest things you did when you took over Twitter was start releasing the Twitter files, which Yeah. Like, who takes over a company and then says, look how horrible all this stuff that Speaker 1: was going on? We need to have, like, truth and reconciliation here. Yeah. You know? So if we're not gonna expose the the things that were done wrong, why should people believe us in the future? So the you know, that's why I like we're trying to be as transparent as possible, so it's like, don't take my word for it. Literally look at the algorithm. You should be able to recreate the results that you see on Twitter with, you know, using that algorithm. So and we're trying to trying to make sure that that everything is brought to light. Not just so there's no no hidden layers or anything. We just discovered, you know, last week, a hit like, some hidden layer of of, Censorship that was written in 2012. Like, censorship is maybe the wrong word. It would it would basically suppress. It had, like, a list of words, and any of those words some of them were, like, Like, suck. If you put suck just s u c k. Actually, even with other words, it gets massively de amplified. And that was

@xDaily - X News Daily

Elon confirms Twitter engineers didn't know this code existed until it was discovered last week. https://t.co/XCjroz2Tyz

@elonmusk - Elon Musk

@TitterDaily True. So many skeletons in the closet. No one at the company knew this code existed.

The1Parzival
Posted - June 18, 2023 at 4:42 PM
Saved - June 18, 2023 at 5:49 PM

@The1Parzival - THE PARZIVAL

Twitter completely silenced me, then took credit for my work. I even tagged both Elon and Twitter Engineering in dozens of posts to no avail. It must be a pride thing, since they don't want to admit some anonymous stranger on Twitter figured this out before Twitter Engineering.

The1Parzival
Posted - June 22, 2023 at 8:27 PM
Saved - July 27, 2023 at 12:26 AM
reSee.it AI Summary
BREAKING: A discovery on Twitter reveals that the STORM AGGREGATE code tracks activity of RIGHT and LEFT accounts. Conservative accounts may have less visibility due to counters that record interactions with right-leaning material. These counters affect users' stats and future tweets. Find the code here: [link]. USAB4L elonmusk Bingo. Thanks to WarrenFahy, Pammywho, Jeremibullfrog2, adamlund, whykikiasks, Cowlesdc, benshapiro, dnwiebe, mindvince, and iculuci for their contributions. [link]

@The1Parzival - THE PARZIVAL

🚨🚨🚨 BREAKING 🚨🚨🚨 Someone from Twitter 1.0 left a LITERAL BREADCRUMB, which led me to this Code. It appears the STORM AGGREGATE has Counters to track activity of RIGHT and LEFT Accounts. - RightDataRecordCounter - AuthorRightDataRecord Counter This is likely the reason many conservative accounts seem to get much less visibility. As you post Right leaning material "AuthorRight" and interact with others Right leaning material you get counters. These counters then become part of the users stats and are then subsequently used when importing the "StatsReceiver" for future tweets or retweets. Here is the direct link to the code on Github: https://github.com/twitter/the-algorithm/blob/fb54d8b54984f89f7dba90a18e7c3048421464c3/src/scala/com/twitter/timelines/prediction/common/aggregates/real_time/StormAggregateSourceUtils.scala#L240…

@The1Parzival - THE PARZIVAL

https://t.co/o9GVjp6qTX

@The1Parzival - THE PARZIVAL

@USAB4L @elonmusk Bingo!

@The1Parzival - THE PARZIVAL

@WarrenFahy Thanks Warren!

@The1Parzival - THE PARZIVAL

@whykikiasks Nope

@The1Parzival - THE PARZIVAL

@mind_vince Thank you!

@The1Parzival - THE PARZIVAL

@Jeremibullfrog2 @TheNotoriousLMC For reals! 🤣

@The1Parzival - THE PARZIVAL

@adamlund @AwakenedOutlaw The imported input parameters are not available, nor is all the source code. I have asked for this information to no avail. I hope this answers your question.

@The1Parzival - THE PARZIVAL

@Pammywho @TheNotoriousLMC Right back at ya Fam!

@The1Parzival - THE PARZIVAL

@icu_luci Yep, see my other Threads too. They are in my pinned tweet.

@The1Parzival - THE PARZIVAL

@Cowlesdc @benshapiro @CommunityNotes They won't even respond to my first post. Responding means they have to acknowledge me first. 😏

@The1Parzival - THE PARZIVAL

@dnwiebe Nope

JDunlap1974
Posted - July 26, 2023 at 7:40 PM
Saved - July 26, 2023 at 10:17 PM

@JDunlap1974 - 🇺🇸🇺🇸Josh Dunlap🇺🇲🇺🇲 ULTRA-MAGA

Retweet and Spread!!! Twitter Is Silently Throttling Conservative Accounts, and Nobody Is Talking about It

Twitter Is Silently Throttling Conservative Accounts, and Nobody Is Talking about It When Elon Musk took over Twitter in October last year, he restored new hope among conservative accounts previously banned dailyfetched.com
The1Parzival
Posted - August 11, 2023 at 10:24 PM
Saved - August 12, 2023 at 12:45 PM

@The1Parzival - THE PARZIVAL

BREAKING ALGORITHM FOUND IN THE CODE THAT WAS USED BY TWITTER TO SUSPEND AND SILENCE @realDonaldTrump ON JANUARY 8TH, 2021 AFTER J6. IT HAS A CONSTANT FEATURE THAT KEEPS THE STATE OF HIS ACCOUNT AS SUSPENDED AND COMES FROM AN IMPORTED DATA SET.

The1Parzival
Posted - August 29, 2023 at 3:06 AM
Saved - December 27, 2023 at 1:30 AM
reSee.it AI Summary
The posts discuss the process of suspending and silencing a sitting president on Twitter. It involves applying a numerical tag to the account, which triggers a continuous suspension and activates the "Constant Action Tombstone" Sub-Algorithm. This algorithm hides the account and makes the tweets inaccessible. Suspended accounts are permanently labeled, and cluster controls are used to limit the visibility of certain groups, mainly conservatives. The censorship is built into the algorithm and is hidden throughout the layers of code.

@The1Parzival - THE PARZIVAL

🧵 DONALD TRUMP TOMBSTONE THREAD 🧵 Now that we know the exact Code responsible for suspending and silencing a sitting PRESIDENT, let's see how the process unfolded on January 8th, 2021. https://t.co/ZsakECluCf

@The1Parzival - THE PARZIVAL

It all starts with applying a tag to the users account in the imported input data. The tag for a suspended account can be shown here. This can be as simple as adding a number from a pre-defined set of tags. https://t.co/IcrMR3Xkpl

@The1Parzival - THE PARZIVAL

Once this numerical tag was added to Donald Trumps account, the Algorithm then picked up the new input parameter and applied the suspended account label. Here is that suspended label that was shown previously. https://t.co/xmmhYlh1vG

@The1Parzival - THE PARZIVAL

We can see that this label applies a continuous suspension on the account. This then initiates the "Constant Action Tombstone" Sub-Algorithm. The Code for this is shown here. https://t.co/fBxVnnKidQ

@The1Parzival - THE PARZIVAL

This code is different from my very first post on the Tombstone Generator, which is for individual tweets, not a constant action filter. To see the difference and explanation, please see my original post on it. https://t.co/BPPSkCBKW2

@The1Parzival - THE PARZIVAL

🧵 TWITTER SUPPRESSION ALGORITHM THREAD 🧵 If you have ever been censored on Twitter or other platforms you will want to read this. This Thread will Expose the ALGORITHM LIKELY USED BY TWITTER FOR MASS CENSORSHIP. Let me introduce you to the Tombstone Generator! 💪 @elonmusk https://t.co/VFapx85pOS

@The1Parzival - THE PARZIVAL

Once the "Constant Tombstone" was in place it then made Donald Trumps account show up as suspended publicly and made all his tweets hidden. This is how his account and many others look when this happens. https://t.co/kbxgM3TNwD

@The1Parzival - THE PARZIVAL

Once you have been suspended the "Models" then make sure previously suspended accounts are deprecated. This means that once you have been suspended you are PERMANENTLY LABELED! https://t.co/stdRO1rwhx

@The1Parzival - THE PARZIVAL

This also "Extends" to the user being able to having access to their own account. We can see the code that makes their account unavailable here. https://t.co/xKNZCIRlx0

@The1Parzival - THE PARZIVAL

Additionally, we can see that they were working on, or accomplished in, replacing Suspended Users by using Cluster Controls. These controls can limit the visibility of certain popular users, groups, or specific topics. https://t.co/NzNxQLzKE9

@The1Parzival - THE PARZIVAL

We can see these cluster control mechanisms that I have previously shown that targets certain groups or topics, but mainly conservatives. https://t.co/ZiUAOy54mf

@The1Parzival - THE PARZIVAL

🚨🚨🚨 BREAKING 🚨🚨🚨 TWITTER ALGO HAS CODING TO PENALIZE CERTAIN GROUPS, KNOWN AS CLUSTERS, WHERE CLUSTERS GET PENALIZED BASED ON LOTS OF INTEREST AND POPULAR USERS! CONSERVATIVE CLUSTERS ARE BEING PENALIZED, WHICH LIMITS VISIBILITY FOR ALL THAT ARE IN IT!! https://t.co/O33Q5gJgXD

@The1Parzival - THE PARZIVAL

Hopefully you now understand how the censorship is built into the Algo and is hidden throughout the layers of code. It is not one specific line of code responsible for all the censorship we see, but the totality of it. @realDonaldTrump, IF YOU ARE LISTENING, THIS IS FOR YOU! 🇺🇲 https://t.co/zkaFiLDAVz

alx
Posted - October 31, 2023 at 7:39 PM
Saved - November 2, 2023 at 8:36 AM

@alx - ALX 🇺🇸

ELON MUSK: “The degree to which Twitter was simply an arm of the government was not well understood by the public… Republicans were suppressed at ten times the rate of Democrats.” https://t.co/r1O4YF0Mpv

Video Transcript AI Summary
The speakers discuss the influence of Twitter and its bias towards the far left. They mention how Twitter was seen as an arm of the government and compared it to a state publication like Pravda. The suppression of views that were even mildly right-leaning, including Republicans, was highlighted. The speakers also mention the Twitter files, where individuals like Shellenberger and Matt Taibbi faced consequences for their views, such as audits. Overall, the discussion revolves around the blatant bias and control exerted by Twitter, particularly by the far left.
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Full Transcript
Speaker 0: What was that like? Because that to me, that was the most bizarre, was the Twitter files. When you let Shellenberger and Matt Taibbi and all those guys get in the Twitter and then the response where Matt Taibbi gets audited. I mean, which is just wild. I mean, just just so blatant and so in your face. Speaker 1: Yeah. It's weird. No. I mean, There yeah. The the real which and and, by by the way, Jack didn't really know know this, but the degree to which Twitter was simply, An arm of the government was not well understood by the public. And, it it was there was no it was whatever the official go I mean, it was like Pravda, basically. You know, it's a state publication is the way to think of old Twitter. It's a state publication. Speaker 0: And was the justification from their perspective that they are progressive liberals. They have the right intentions. It's important that they stay in power. The progressive liberals stay in government and power because this is the this is their Speaker 1: There there was there was, basically, oppression of, Any any views that would even I would say could be considered middle of the road, but certainly anything on the the right. I'm not talking about, like, Like far right, I'm just talking mildly right. The people like Republicans were suppressed at 10 times the rate of Democrats. Now that's because, old Twitter was fundamentally controlled by the far left. It was like completely controlled by the the far left.
TheTwilight0
Posted - November 7, 2023 at 9:00 AM
Saved - November 7, 2023 at 9:10 AM

@TheTwilight0 - Mr. Twilight || Beyond Minds

The Twitter files exposed a lot of censorship and corruption that was going on before Elon took over Twitter. https://t.co/EFs6jbd7uq

Video Transcript AI Summary
The release of the "Twitter files" had serious consequences for both the speaker and junior employees at Twitter. They faced doxxing, threats to their families, and had to deal with online harassment. The speaker had to sell their home after their address was published. Another speaker criticized Twitter for censoring COVID information, including the opinions of well-educated doctors. They shared personal health issues they believe were caused by the vaccine. The speaker questioned Twitter's authority to censor medical experts and accused the platform of being influenced by the US government. The video ends with gratitude towards Matt Taibbi and Elon Musk for exposing Twitter's alleged connection to the FBI.
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Full Transcript
Speaker 0: Mister Roth, you are no stranger to conspiracies and their real world consequences. If you don't mind, can you please describe for for the committee how the release of the so called Twitter files has affected your personal safety? Speaker 1: Thank you Speaker 2: for the question, congresswoman. The Twitter files, I would note first and foremost, didn't just affect me, but affected much more junior employees at Twitter. Employees as far away as Manila in the Philippines were doxxed, Had their families threatened and experienced harm equal to or or greater than what I've experienced. And following the Daily Mail's decision to publish where I live, Ultimately, I had to leave my home and sell it. Those are the consequences for this type of online harassment and speech. Oh, that's Speaker 0: I must say those are very real consequences. Speaker 3: Thank you, mister chairman. The Twitter files were not just about Hunter Biden's laptop. Twitter worked overtime to the press? Accurate COVID information. Apparently, the views of a Stanford doctor are disinformation to you people. I, along with many Americans, have long term effects from COVID? Not only was I a long hauler, but I have effects from the vaccine. It wasn't the 1st shot, but it was the 2nd shot that I now developed asthma that has never gone away since I had the 2nd shot. I have tremors in my left hand, and I have the occasional heart pain that no doctor can explain, and I've had a battery of tests. I have great regrets about getting the shot because of the health issues that I now have that I don't think are ever going to go away. Where did you go to medical school? Speaker 1: I did not go to medical Speaker 3: I'm sorry. Speaker 1: I did not go to medical. Speaker 3: That's what I thought. Why do you think you or anyone else at Twitter have the medical expertise to Sure. A doctor's expert opinion. Speaker 1: Our policies regarding COVID were designed to protect individuals. We were seeing You guys censored Harvard educated doctors, Stanford visuals we were seeing Speaker 3: You guys censored Harvard educated doctors, Stanford educated doctors, doctors that are educated in the best places in the the world and you silence those voices? You're not a doctor. Right, miss Gaddy? Speaker 1: No. I'm not. Speaker 3: Okay. What makes you think you or anyone else at Twitter have both expertise to censor actual accurate CDC data? Speaker 1: I'm not familiar with these particular their situation? Yeah. Speaker 3: I'm sure you're not. It's not just about the laptop. This is about medical advice that expert doctors were trying to give Americans because social media companies like Twitter were silencing their voices? Did the US government ever contact you or anyone at Twitter to pressure Twitter to moderate or censor Sir, certain tweets. Yes or no? Speaker 1: We have a program. Speaker 3: Did the US government ever contact you or anyone at Twitter to censor or moderate certain tweets? Yes or no? Speaker 1: We receive legal demands to remove Content from the platform from the US government and governments all around the world. Speaker 3: Thank god for Matt Taibbi. Thank god for Elon Musk for allowing Show us in the world that Twitter was basically a subsidiary of the FBI.
Real_RobN
Posted - November 11, 2023 at 1:15 AM
Saved - November 14, 2023 at 8:55 PM

@Real_RobN - 🇺🇸RealRobert🇺🇸

A criminal on the loose, Here’s how Jack Dorsey facilitated the overthrow of the United States government on Nov 3. 2020. “We are focused on one account [@realDonaldTrump] right now but this is going to be MUCH BIGGER than just one account & it’s going to go on for much longer” https://t.co/LkymuMt0Lb

Video Transcript AI Summary
Speaker 0 asks if the full retro will be done, acknowledging that it will take time. Speaker 1 believes that the dynamics discussed will continue for a while. They mention that the actions they are taking together are part of a broader approach that requires further exploration. The team is dedicated to addressing this issue with a lot of work and focus.
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Full Transcript
Speaker 0: Do you intend to do the full retro as I said in my note, it is going to take some time. And then Speaker 1: and but also we need to think much longer term around how these dynamics play out over time. I don't believe this is going away anytime soon. And the moves that we're making today, around, you and I, for instance, one such example of a much broader approach, that we should be looking at and and going deeper on. So, the team has a lot of work and a lot of focus on this particular issue.
The1Parzival
Posted - November 13, 2023 at 1:07 AM
Saved - November 13, 2023 at 7:33 PM
reSee.it AI Summary
Twitter Algo Finale: Evidence reveals Twitter's role in mass censoring conservative Americans. Open-sourced code on GitHub, provided by Elon Musk, confirms the connection to Twitter Files exposing account labels on popular conservative accounts. Labels were also applied to individual tweets, reducing their reach. The algorithm includes a social credit score, clusters to silence entire groups, and a government request mechanism. Models like toxicity and abuse are used, but not all details are open-sourced. Community Notes audit confirms findings. Twitter's actions amount to election interference. This information is crucial for Rep Anna Paulina Luna and @Jim_Jordan's report on the Industrial Censorship Complex. Urgent action is needed to restore free speech on social media platforms.

@The1Parzival - THE PARZIVAL

🧵 TWITTER ALGO FINALE THREAD 🧵 This thread will serve the purpose of providing a mountain of evidence to @realannapaulina for her congressional hearing against Twitter 1.0 employees for their role in mass censoring Conservative Americans.

@The1Parzival - THE PARZIVAL

Let's first show the open sourced code on github that was provided by Elon Musk.

@elonmusk - Elon Musk

Twitter recommendation source code now available to all on GitHub https://github.com/twitter/the-algorithm

GitHub - twitter/the-algorithm: Source code for Twitter's Recommendation Algorithm Source code for Twitter's Recommendation Algorithm - GitHub - twitter/the-algorithm: Source code for Twitter's Recommendation Algorithm github.com

@The1Parzival - THE PARZIVAL

Using the code from this repository we can then begin to confirm the codes connection to the Twitter Files released by @bariweiss. From this post we can see that there was account labels placed on popular conservative accounts.

@bariweiss - Bari Weiss

THREAD: THE TWITTER FILES PART TWO. TWITTER’S SECRET BLACKLISTS.

@The1Parzival - THE PARZIVAL

From the images we can see the labels that were placed on those accounts were: - Recent Abuse Strike - Trends Blacklist - Notifications Spike - Search Blacklist - Do Not Amplify Consequently all these labels show up in the open source code found here. https://github.com/twitter/the-algorithm/blob/72eda9a24f815f6d566818cbf8518138e29d83e9/visibilitylib/src/main/scala/com/twitter/visibility/models/UserLabel.scala#L11

File not found · twitter/the-algorithm Source code for Twitter's Recommendation Algorithm - File not found · twitter/the-algorithm github.com

@The1Parzival - THE PARZIVAL

Not only did Twitter apply labels to accounts, but they also applied labels to individual tweets. This served to further reduce the reach of conservative accounts like those shown above. Here is the link to the full list of Tweet Safety Labels. https://github.com/twitter/the-algorithm/blob/72eda9a24f815f6d566818cbf8518138e29d83e9/visibilitylib/src/main/scala/com/twitter/visibility/models/TweetSafetyLabel.scala#L12

File not found · twitter/the-algorithm Source code for Twitter's Recommendation Algorithm - File not found · twitter/the-algorithm github.com

@The1Parzival - THE PARZIVAL

These Tweet Safety Labels reduced visibility on some of the most important information for the public regarding Covid-19 and Elections. We can see these overreaching labels here for: - Misinfo Covid-19 - Misinfo Covid-19 Vaccine - Misinfo US Elections https://t.co/sXWz1aXz1B

@The1Parzival - THE PARZIVAL

There is also a label they can apply to tweets for simply not liking a specific user and is specifically worded as Persona Non Grata. For those that don't know what this means here is the definition. https://t.co/zMQwMdMWZy

@The1Parzival - THE PARZIVAL

We will now move away from labels and show yet other forms of censorship mechanisms in the code. There's actually a Social Credit Score built into the Algo and applies scores for the following: - User Mass Score - Reputation Score (Tweepcred) - Toxicity Score - Follow Score https://t.co/tbdK44DXep

@The1Parzival - THE PARZIVAL

Here is the full thread I did on the Reputation Score that goes into detail about how it works in the code. The Reputation Score was also confirmed by Elon Musk and his Engineering Team 3 weeks after I disclosed it. https://t.co/cHK6Gv67Ph https://t.co/AoDUvHcTpT

@The1Parzival - THE PARZIVAL

🧵 TWEEPCRED AND REPUTATION TWITTER ALGORITHM THREAD 🧵 Ever wonder why once your Twitter Account gets BLACKLISTED it seems almost impossible to get off? This thread will explain why this likely happening. https://t.co/t0CsHxDSuW

@The1Parzival - THE PARZIVAL

Additionally, Twitter 1.0 also went beyond just censoring individual users, but censored entire groups, mainly conservatives, by using a clustering method. By grouping these accounts in clusters they were able to silence entire groups and topics. It is shown in the code here. https://t.co/9wnaGZpGvy

@The1Parzival - THE PARZIVAL

Here is a deeper explanation on the clusters from a previous post I did. https://t.co/rZcaFykGyG

@The1Parzival - THE PARZIVAL

🚨🚨🚨 BREAKING 🚨🚨🚨 TWITTER ALGO HAS CODING TO PENALIZE CERTAIN GROUPS, KNOWN AS CLUSTERS, WHERE CLUSTERS GET PENALIZED BASED ON LOTS OF INTEREST AND POPULAR USERS! CONSERVATIVE CLUSTERS ARE BEING PENALIZED, WHICH LIMITS VISIBILITY FOR ALL THAT ARE IN IT!! https://t.co/O33Q5gJgXD

@The1Parzival - THE PARZIVAL

As if these censorship mechanisms are not enough their is actually coding for a Government Request to intervene on things they consider misinformation. https://t.co/zpvvC4cYbD

@The1Parzival - THE PARZIVAL

We can also see the code that was directly responsible for suspending and silencing the sitting President of the United States @realDonaldTrump. Here is the full thread on it I did previously. https://t.co/iRpoIfpaWl https://t.co/qBaFpniRSx

@The1Parzival - THE PARZIVAL

🧵 DONALD TRUMP TOMBSTONE THREAD 🧵 Now that we know the exact Code responsible for suspending and silencing a sitting PRESIDENT, let's see how the process unfolded on January 8th, 2021. https://t.co/ZsakECluCf

@The1Parzival - THE PARZIVAL

This is now a good time to bring up the Tombstone censorship mechanism, which was the first thing I found in the code. Here is the full thread on the Tombstone as well as an example of what the Tombstone looks like in use. https://t.co/eMUJFE5ld6 https://t.co/Yp8NT713ax

@The1Parzival - THE PARZIVAL

🧵 TWITTER SUPPRESSION ALGORITHM THREAD 🧵 If you have ever been censored on Twitter or other platforms you will want to read this. This Thread will Expose the ALGORITHM LIKELY USED BY TWITTER FOR MASS CENSORSHIP. Let me introduce you to the Tombstone Generator! 💪 @elonmusk https://t.co/VFapx85pOS

@The1Parzival - THE PARZIVAL

Now let's go a little deeper and talk about Models within the Algorithm. Here we can see several Trust and Safety Models that were released in the open source code and are as follows: - Abusive - NSFW - Toxicity https://t.co/zxoje0TogE

@The1Parzival - THE PARZIVAL

Looking into the Toxicity Model we find that there is a keyword list used in order to make computational decisions on whether a posts visibility is altered. The list includes words for Politics, Insults, and Race. These keywords however are not open sourced. https://t.co/umzyVdZCZv

@The1Parzival - THE PARZIVAL

Additionally, not all the models have been released and is even confirmed in the code. Here is what it says. https://t.co/GXrWKDcryy

@The1Parzival - THE PARZIVAL

It is also important to state that not once has any of my findings been disputed or Community Noted. In fact @CommunityNotes essentially confirmed my findings, but were too cowardly to actually apply the note. This is a post I did in response to this. https://t.co/xT2MRbMxlx

@The1Parzival - THE PARZIVAL

🚨🚨🚨 BREAKING 🚨🚨🚨 COMMUNITY NOTES AUDIT PROVES THAT THE GROUP IS COMPROMISED AND DOES NOT EVEN HONOR THEIR VERY OWN VOTING RESULTS. HERE ARE THE RESULTS OF THE DATA FROM THE COMMUNITY NOTE THAT CORRECTS THE FACT THAT I FOUND THE REPUTATION SCORE! https://t.co/t3Aj8njWyb

@The1Parzival - THE PARZIVAL

At this point it should be clear that Twitter Algo was designed for 1 purpose and 1 purpose alone, to silence conservatives and control the information narrative on social media. The depth that Twitter went to silence conservatives is nothing short of election interference.

@The1Parzival - THE PARZIVAL

This critical info should significantly help Rep Anna Paulina Luna and may also be of great interest to @Jim_Jordan as well in regards to his recent bombshell report on the Industrial Censorship Complex. https://t.co/y5mrdzcDRi

@Jim_Jordan - Rep. Jim Jordan

BOMBSHELL REPORT ON THE CENSORSHIP-INDUSTRIAL COMPLEX HUNDREDS of secret reports show how @DHSgov’s @CISAgov, The GEC (@StateDept), @Stanford and others worked together to censor AMERICANS before the 2020 election, including true information, jokes, and opinions. 🧵 THREAD:

@The1Parzival - THE PARZIVAL

Let's hope that this information initiates some serious change on Social Media platforms to stop censoring free speech and limiting the reach of conservatives. With elections coming up in less than a year it is more important than ever that this be addressed immediately.

@The1Parzival - THE PARZIVAL

In conclusion these mechanisms are still in place on Social Media Platforms including X. Although Elon Musk claims a new Algorithm is about to roll out, until it does, it is safe to assume that most of the old Algorithm is still in place. The time to restore Free Speech is now!

The1Parzival
Posted - December 27, 2023 at 7:45 PM
Saved - December 28, 2023 at 8:09 PM
reSee.it AI Summary
The creation of the "TWADOOP" function and its connection to generating "USER MASS SCORES" is discussed, along with the involvement of Parag Agrawal and other ex-Twitter employees. The User Mass Score is a sub-algorithm that assigns a score to accounts based on various characteristics. The User Mass is part of the Tweepcred scoring metrics used to determine an account's visibility. The TSV file generated by the Twadoop function acts as a list of social credit scores, which can be manipulated. Connections between Parag and Kevin Weil, a former high-level employee, are mentioned. Twadoop has been around since 2009, and Parag, who became CEO in 2011, has been accused of censorship. Parag's stance on freedom of speech is also highlighted, raising concerns about the destruction of the Constitution.

@The1Parzival - THE PARZIVAL

🧵 TWADOOP THERE IT IS 🎶 This thread will outline the creation of the function "TWADOOP", which is a special code used by the Algorithm to generate a list of "USER MASS SCORES". It will also discuss Parag Agrawals involvement as well as other Ex Twitter Employees. https://t.co/bQRwyIw98f

@The1Parzival - THE PARZIVAL

To begin let's first look at what a User Mass Score means and how it affects you. The User Mass is a Sub-Algorithm that assigns a Score to the account based on a variety of characteristics, many of which the values are hidden. The characteristics and code are shown here. https://t.co/pWL4aYnZqN

@The1Parzival - THE PARZIVAL

The User Mass is part of the "Tweepcred" group of Scoring Metrics used to determine an accounts visibility on the platform. The User Mass has a TSV File that is generated by the Twadoop function. A TSV File is simply a plain text data table that is native to many applications. https://t.co/Ve4DpHNGaM

@The1Parzival - THE PARZIVAL

This TSV File acted as a pseudo list of each accounts Social Credit Score on the platform. This Score could then be easily manipulated by changing values in the tables of the files manually or adding a weight multiplier to scores. https://t.co/QWTliLOcqT

@The1Parzival - THE PARZIVAL

Here is where we begin to connect previous employees that had a hand in the development of Twadoop, Tweepcred, and this Social Media Social Credit System. There is a correspondence regarding Twadoop Files between Parag and Kevin Weil in 2012, both very high level employees. https://t.co/TiG2zEM2fF

@The1Parzival - THE PARZIVAL

So who is Kevin Weil? He was Twitter's Product Head. He later went on in 2016 to join Facebook's Instagram. I'm very curious to know what exactly was in the files Weil was asking Parag about? This post from Parag just so happens to be deleted now. https://t.co/KvuSw8ZmnS

@The1Parzival - THE PARZIVAL

Now remember this interaction between them was in 2012, but Twadoop actually goes back even further, all the way to 2009. We can see references to Twadoop from another Ex Twitter Employee that "Helped Create the Data Platform Twitter". Notice he said Data not Social Media! https://t.co/ph5fWaI35d

@The1Parzival - THE PARZIVAL

It should be clear that Twadoop has been around for quite some time specifically since 2009. Now let's put some focus back on Parag who was there since 2011 through his reign as CEO to 2022 when Elon Musk took over and fired him. https://t.co/bhTbKBnJbn

@The1Parzival - THE PARZIVAL

Parag took over for Jack Dorsey as CEO and was previously the Chief Technology Officer. Before joining Twitter Parag got his Masters and PHD from Stanford in 2008. Stanford resides only 35 miles from Twitter Headquarters and has been accused in the proliferation of censorship. https://t.co/WiQYkmUtx2

@The1Parzival - THE PARZIVAL

Prior to his Studies at Stanford Parag lived abroad. He was born in India and gained his Bachelors Degree from the Indian Institute of Technology, Bombay. Within 6 years of arriving to the US in 2005 Parag obtained his PHD and began his work at Twitter CENSORING AMERICANS! https://t.co/2WDNom4JVS

@The1Parzival - THE PARZIVAL

Parag has also made his stance clear on Freedom of Speech. He said: "Our role is not to be bound by the First Amendment, but our role is to serve a healthy public conversation ... [and to] focus less on thinking about free speech, but thinking about how the times have changed." https://t.co/8R3XfcNyjl

@The1Parzival - THE PARZIVAL

It's very disturbing that someone can come from another country, obtain US Citizenship, reap the benefits of America, then go on to destroy the Constitution, the very thing that makes America great. My God given rights are not debatable and they will never take our freedom! https://t.co/SExvHGKe8o

The1Parzival
Posted - January 6, 2024 at 7:29 PM
Saved - January 6, 2024 at 7:53 PM

@The1Parzival - THE PARZIVAL

🚨 BREAKING: Twitter Recommendation algorithm found to contain coding for - Capped Scores - Weights - Bias = -1.0 * (weight * score + bias) https://t.co/lN7IACrPXi

The1Parzival
Posted - January 9, 2024 at 10:29 PM
Saved - January 9, 2024 at 10:56 PM

@The1Parzival - THE PARZIVAL

🚨 BREAKING: Special coding found in the Twitter Algorithm called the "Tseng Takedown" which has a list of specific country codes and takedown reasons. Totally seems American! 🇺🇲 https://t.co/D0vkwXauCI

KanekoaTheGreat
Posted - August 10, 2024 at 5:04 AM
Saved - August 10, 2024 at 3:36 PM
reSee.it AI Summary
I engaged in a debate with David Sacks, Friedberg, Jason, and Chamath about whether Google manipulates search results to favor Democrats during elections. In 2019, a senior engineer leaked 950 pages of internal documents showing that Google blacklisted numerous conservative websites and ranked mainstream media outlets as more authoritative than Fox News. Dr. Epstein's studies suggest that Google’s practices could shift millions of votes to Democrats. I believe these leaked documents are crucial for understanding Google's influence.

@KanekoaTheGreat - KanekoaTheGreat

.@DavidSacks, @friedberg, @jason, and @chamath debate if Google manipulates search results to favor Democrats in elections. In 2019, a senior Google engineer (@Perpetualmaniac) leaked 950 pages of internal documents, revealing how Google uses blacklists and algorithms to censor conservative and pro-Trump content. Google blacklisted hundreds of conservative websites, including Daily Caller, Western Journal, RedState, Gateway Pundit, Steven Crowder, and Glenn Beck. Leaked documents also revealed Google ranked ABC, CBS, and CNN as more “authoritative” than Fox News. @DrREpstein has published studies showing how Google manipulates search results to shift millions of votes to Democrats in each election. Full thread on Google's 950 pages of leaked documents: https://x.com/KanekoaTheGreat/status/1620195663580626945

Video Transcript AI Summary
Google's monopoly status and alleged bias in search results were discussed in a video. The speakers debated whether Google should be broken up into separate companies and highlighted the perceived bias in search results favoring certain political candidates. They also mentioned the lack of transparency in Google's algorithm and the dominance of left-leaning media outlets. The conversation then shifted to the antitrust ruling against Google, with one speaker suggesting that the outcome may be broader than just search-related issues. The video concluded with the acknowledgment that there is a strong push to limit the influence and power of tech companies like Google.
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Full Transcript
Speaker 0: This is a good decision. I mean, Google clearly is a monopoly. In fact, it's at least 2 or 3 monopolies. They have monopoly in search, they have monopoly in advertising, and they at least have a dominant position in video with YouTube. And I think that it would be great if the government broke up this company. Speaker 1: I mean, Speaker 0: it should be it should be at least 3 or 4 companies. I mean, there should be search should be its own company. Advertising should be its own company. YouTube should be spun out. And then I don't know if G Suite should be a separate company or should get lumped in with search. I I I don't know. But I think there should be at least 3 or 4 companies. And I think Republicans will be on board with that because, frankly, Google's a threat to democracy. If you go to Google and search for search results of anything related to the election, it is clearly so biased. Speaker 1: Explain that. Yeah. Give an example. Speaker 0: If you wanna get the latest info on Kamala Harris, just search for Donald Trump. I mean compare the search results and I've done this and I've posted the results online. If you search for Trump, you'll get a bunch of negative articles on Trump and you'll get positive articles about Harris and then conversely if you search for Kamala Harris, you'll get positive articles about her and it's like Trump doesn't exist. It's clearly they have put their thumb on the scale here in favor of the candidate they prefer as 90 something percent of their donations indicate. Speaker 1: Here's a real time search. I just did Donald Trump. As you can see, the first one that came up was a Harris story about Trump and Harris. Google has actually addressed this issue. The issue is actually, I think, I'll take a Speaker 2: little bit of the other side Speaker 1: of it, not bias in the algorithm, but bias in media. The overwhelming majority of media is left leaning, and, there's a very small amount of Republican right leaning media when compared to the left, obviously. And so when you do a search for Donald Trump, you know, you've got the first three choices. New York Times left leaning, Washington Post left leaning, Newsweek left leaning, CNN left leaning, Daily Beast super left leaning, 5 of 5 are left leaning. That really is the issue is that there isn't enough GOP or right leaning media to actually make, this work. That's at least my take on it. What's your take? Speaker 0: Well, so okay. Explanation, Bob. Okay. Fine. But the problem is that Speaker 1: Yeah. Yeah. Speaker 0: They're waiting the publications they wanna wait. Why is Daily Beast, like, some authority on the election? They're the most partisan, ridiculous, untrustworthy publication when it comes to the election. New York Post in there? Why isn't Sub Stack in there? There's a lot of great publications on Substack. So they are very selectively choosing the publications who, you're right, are in the tank for the Democrats. So that they are reflecting the bias of the mainstream media, but they are being very selective about what media they show. And even so Here's Speaker 1: Kamala Harris and Speaker 0: Let me Speaker 1: just give you statistics here. Here. Hold on. Kamala Harris, I just did a search. First five, New York Times, NBC, The Hill, CNN. Is The Hill right or left? Speaker 0: I don't know. They're left. Speaker 1: Would you say Saks? It's left. Yeah. Left. And then Forbes, which I think would be considered right. And then Fox, obviously, right. So, I mean, it's just the percentage of new guardians here. Speaker 2: Often. Yeah, the Guardian's often rank right, so there's another 2. Speaker 3: Yeah. So it Speaker 1: would be, like, 3 of 8. By the way, in this Speaker 0: case you to I Speaker 1: want you to Speaker 0: put on the screen this. Speaker 1: Yeah. Go ahead. You can do it. Speaker 0: I I tweeted some receipts. Please click on the screenshot so I can show you the side by side and you'll see what I'm talking about. Okay. I search for Donald Trump. What do I get? News about Harris, the first I did this on my phone, so this is mobile. Mhmm. The articles are all basically about Harris criticizing Trump. Okay? Then the second carousel is about the project 2025 director stepping down which is pretty tangential of Trump but is a major democratic line of attack on Trump. So this whole thing seems rigged to support the DNC point of view on Trump. Same thing, you search Donald Trump latest news, same thing, there's some weird story about Donald Trump's nephew. Mhmm. Didn't even know he about this person, but somehow they're elevating it to be a major story. And, again, the 1st carousel is all about Harris. Now keep going, please. Speaker 1: Yes, ma'am. Speaker 0: Okay. Now we look at Kamala Harris, top stories, just Harris. No news about Trump. Speaker 3: Got Speaker 0: it. Next one. Same thing. Okay? So the point is that when you search for Trump you get news about Harris and criticism of Trump, when you search for Harris you get positive news about Harris. There's no way you can tell me that this is fair or this is a result of an algorithm that hasn't been tampered with. This is very clearly programmed. I mean, you can Okay. Speaker 1: I'm gonna take you Speaker 0: cells depending on which candidate you search for. Speaker 1: I'm gonna take the complete other side of this, but, Friberg, I wanna give you a chance because you work at Google. I think you know a lot about the algorithm. What is there an explanation for this that makes technical, logical sense given what you know about the algorithm? And then I'll give my position then, Chamath, you can. Speaker 2: Yeah. There's very little kind of editorialization going on with respect to showing the rankings of the new sources. The ranking of the new sources is typically set by some ranking algorithm. The algorithm is usually around click throughs, views, popularity of the sites, how many visitors there are. So there are other metrics that drive the order. So for example if NBC, CNN, Fox News all have kind of higher rankings than some smaller publication, they're going to end up higher in the ranking algorithm because they have a higher, call it quality score. There's also measures on how often people click through and come back, the bounce back rate. So if they click through an article and then come back, that can actually reduce the ranking versus if they click through and stay on the site. So there's a lot of factors that go into the ranking algorithm. The thing that probably upsets people is that there isn't any transparency into this. So So there's no understanding on how these things are ranked, how they're set, and it's probably very good guidance and feedback that there should be more transparency and openness. And I'm not necessarily trying to defend anyone's product or behavior. I'm just saying that there's a certainly a lack of understanding on why one thing is being shown versus another. I'll also say, Sachs, it is probably the case or there might be the case that there's many more sites potentially putting out pro Harris articles than there are putting out pro Trump articles, which can start to overweight the the algorithm as you know, or overweight the rankings that are showing up. So that might also be feeding into this that that the general news media bias is what you're actually seeing versus a Google bias. Correct. Speaker 0: I I don't believe so. Speaker 1: Let me get Chamath. Hold on. Let me get Chamath involved here on this issue, and then I'll give my And so I do wanna come back I do wanna come Speaker 2: back to the antitrust ruling in a minute. Speaker 1: Okay. Absolutely. Sacks thinks the the fix is in. Friberg thinks this is explained algorithmic, but that Google could do a better job explaining and being more transparent about the algorithm. I agree with that a 100%. Speaker 2: Companies always don't Speaker 1: considered a black box. Speaker 2: Look at that. Speaker 1: And I agree a 100% as I explained. Yeah. The the number of independent journalists Speaker 3: Why? Speaker 1: In left leaning publications is, like, 30 to 1 at places like Fox News, which is largely taken to LA Wire, largely opinion. Speaker 2: There's so many Speaker 1: There needs to be more. Investment in journalists by Republicans. There are Speaker 2: so many more liberal journalists, and there's so many more liberal media outlets out there. Speaker 1: 20 to 1. A big Speaker 2: it's probably 20 to 1. Yeah. Yeah. Speaker 0: Of course, I understand that mainstream media is hopelessly biased. Please remember you said that when we discuss it Speaker 1: No. No. No. In the future. Hopelessly out of numbers. Instead of saying it's conspiracy theory. Sacks, I gotta stop you there. He didn't say biased. What we said was it's 20 or 30 to 1. It's outnumbering. So if the pool of things the search can come up with is 30 to 1, it's, of course, going to appear biased, which is what they need to do is they need to show who's in the ranking, what percentage are left, what percentage are right, what percentage are middle middle of the road. Show that at the top. Speaker 0: The mainstream media is biased. We all know that. You can defend it however you wanna defend it. You can Speaker 3: Nobody's a point. Speaker 0: Okay. Fine. So we agree on that. I don't know why you're making you I agree, but you're fucked on that. Making you enough points. Okay. My point about Google is they're reinforcing the bias because they uprank the mainstream media sources and they downrank the sources that provide a distant opinion or an alternative opinion. Again, why is Vanity Fair upranked above the New York Post? Speaker 2: I don't know because I Yeah. Speaker 0: Is that because of their journalistic quality? I don't think so. Speaker 2: One way to think Speaker 0: about this Hold on. Why is it that that Kamala Harris search result does not say anything about Trump, but the Trump search result has a carousel on Kamala Harris? That looks perfect to me. Yeah. You want an answer? That looks broken. Okay. Speaker 1: I'll tell I'll tell you the awesome answer. This was the week, Kamala or this the last 10 days or so of Kamala taking the position, raising tons of money, hiring her VP, and Trump disappearing from public life for 10 days. So there's also a on top of the 30 to 1 ratio of, let's say, left leaning journalist to right, you also have this was Kamala's coronation week, so therefore it's going to be. I don't think Google is in the bag with our algorithm anyway. I think it's the source material they're indexing. Chamath, what are your thoughts? One of the things that I like Speaker 3: to do when I'm in Portofino is when you see these huge yachts in the bay, I I like to figure out what they are. Okay. And so I use Google for, like, a vessel finder. And 2 of the top three links send me the spyware. And I think to myself every time every year this happens, how is it that in 2024, Google hasn't figured out how to click these links in a sandbox, isolate the ones that send you to spyware, and just take them out of the index. And, of course, they can do it. They have, you know, a 100000 people and 2,000,000,000,000 of market cap. So I think that there's, like, just the level of technical naval gazing at some level that I think besets every big company. And so there are other examples here that you can look at that are a lot less charged than politics. I think Freeburg is right that it's largely algorithmic, but I think David is right in that there is a quality problem. I think the solution here is that for certain extremely important moments, there needs to be a little bit more intervention, and there needs to be a little bit more curation so that it passes the smell test. I mean, the the version of this that I that I also experimented with, and Nick, you can find the tweet that I had, was when I was searching for the assassination of Donald Trump on Google. It just that it didn't show up. It does show up now. So I think they got the message and they fixed it. So clearly, somebody's listening. And I think clearly then the index changes. So I think that both things are possible, which is the algorithm can improve and also that certain things before people start to complain loudly about this perceived bias, there should be enough intervention to make sure that the algorithmic results pass a smell test. And if they're not, to add some amount of reinforcement learning or something else, some human feedback that allows that that allows you to get to a good answer that's unbiased. Speaker 0: Before we leave this topic, can can I just show this chart? Okay. Look. This is a chart we show. Of all of Speaker 2: tech all of tech is deeply biased towards the democrat party. Speaker 0: Audience may not know. Okay? Okay. Employee donations to to party are again, it's well over 90% of Democrats. This basically represents the constituency of Silicon Valley, okay, inside these companies. We also know that Google search results use more and more manual interventions. Freeberg, you agree with that. Right? That over Speaker 2: time There's definitely again, there's there's meant to not be an editorial process, but there certainly is tweaking of ranking. Speaker 0: Okay. So all the people doing this stuff are democrats. They're liberal. And you're telling me that this does not have an influence. It does not create bias. Come on. You can see the bias in a common sense search for Trump versus Harris. Speaker 2: I'm just saying, like, you've you've we've all made a huge leap in this conversation from talking about an antitrust ruling, which I will speak to very specifically in a minute, to, oh my god. Tech is biased. That's what's driving the, you know, the the the the sense of the nation. I don't know if you've noticed, Sachs, but more than half the nation is gonna vote for Donald Trump. More than half, like, nearly 60%. Speaker 0: I think it would be, like, I think it would be, like, 70 or 80% if it weren't for the bias of the mainstream media being boosted by big tech. Speaker 2: Well, I'll call it balanced in the force then, I guess. But, like, yeah. Speaker 0: Hold on a second. Maybe maybe not maybe not quite that percentage. But if you look if you look at if you look at issues pulling on issues, the Republican position on most issues is like a 60 to 70 percent winner. And yet the elections are a nail biter. And I think a lot of it has to do with the influence of the mainstream media and big tech. Speaker 2: Okay. Well, let's come back. So I think that everyone has what Sacks is speaking to is a deeply rooted feeling held by politicians, held by regulators on one side of the aisle or the other. When Democrats feel shunned by the search engine or by Twitter or by Facebook, they raise their hand and they say, let's regulate these guys. When Republicans feel shunned because they're not showing up in the news rankings or the algorithms, they feel, let's regulate these guys. When it actually comes down to the court case, here is what is being described. When you go to Apple and you type in a couple of words in the URL bar that you wanna search for because we've all gotten used to this. You guys may not remember this. But nearly 20 years ago when browsers first came out on desktops and on mobile phones, you would not be able to just search by typing into the URL bar. You would have to type in a web search engine in the URL bar, hit go, and then you go to their search box and you type in your result. What happened around the mid 2000, 2004, 2005, is you suddenly were able to type in a couple of words into the URL bar of a browser and hit go, and it would give you search results. The question is what search engine did it give you those results from? And that's what this lawsuit is about. Google started to pay companies like Apple to make Google the default search engine when you would type in a couple of words and hit go into the URL bar because search became the primary way of surfing the Internet, not typing in a URL and going to it. And then when they started doing that they started to see more search traffic. Now the real question from an antitrust perspective is did Google leverage its monopoly to pay to continue to be the default search engine to lock in the search market and prevent competition by doing this? Speaker 3: Well, the judge the judge already said yes. Speaker 2: The judge said yes. Google is monopolizing search because they're paying to lock in the ability to type in to get the default on the search bar. By the way, you can go into the settings and change it. But what would the other default be? So now if Apple I think Speaker 3: David, I think you're being you're being too narrow. Hold on one second. You're being too narrow. The initial complaint in the Microsoft Internet Explorer thing that kicked off the whole DOJ thing versus the consent decree were 2 totally different things. I think that you're underestimating the scope of the remedy. Speaker 2: I get it. Let me finish. So, like, if they were to then say, like, let's get let's make sure Google can't do that again. What's the search engine? Is it Bing? Is it Apple's search engine? Because then there would be an antitrust claim to say that if there is a default search engine without the consumer having to actively choose what their search engine is, someone is monopolizing the, the install base that Apple has or the install base that whomever has where they are becoming the default search engine. Now to your point, like the ability for the judge to then say, you know what? This is one action of many that you are taking to monopolize search. Let's go ahead and figure out how we can prevent you from monopolizing search. And this is really focused on search. It becomes a very hard leap to say, let's break up the company. There's bias in the newsfeed that you guys are ranking. This has nothing to do with search engine rankings. It has nothing to do with owning YouTube. It has nothing to do with, like, owning cloud. It has everything to do with Google monopolizing the search business, which is the biggest business on the Internet. Speaker 3: I do think that where Speaker 2: that's where that consent I agree. Gets narrowed, Jamont, and where there's a lot of paths, but I question what path is in your opinion. It's not gonna be antitrust triggering. No. No. No. No. No. Speaker 3: I don't think that's a narrowing. Again, the big o outcome of breaking up the company like what happened in Ma Bell, I don't think that's gonna happen here. A little o outcome that is a consent decree similar to the one that Microsoft had to sign is very likely. But what I want you to understand is the way that that started, which was literally around Internet Explorer and bundling versus the consent decree was meaningful orders of magnitude broader. So what I'm saying is this little o outcome is going to be much bigger than the scope of this lawsuit. And if they don't, man, they have dodged an enormous bullet. And all I'm saying is the I think if you had to be a betting person Speaker 2: They settled on that. Right? Like, with with Microsoft, if I remember right, it was an agreed settlement, like, ultimately, they signed. They they there was a It Speaker 3: was a consent decree. Basically, what happened is for 10 years, the DOJ became the became the product managers of all critical projects inside of of Microsoft. Right. The point is this, which is that when Microsoft went through this, the government and they had broad support use that consent decree as a way to essentially hobble this company so that other competition could come in. I don't think so. Speaker 1: I don't Speaker 3: think so. I Well, Speaker 2: Yeah. I don't think so. I agree Speaker 3: with it. It wasn't just it wasn't just in the narrow scope of where that initial focus started. Speaker 2: I hear you. Speaker 3: What I'm saying is this judge will read that for sure. And I would and if and if Google gets away with just having to do something around tech and Speaker 2: search Yeah. Speaker 3: It they have dodged an enormous bullet. Speaker 2: No. I think you're look. I think you're right, and I think the reason you're right is because of how inflamed Saks is. Because the way that Sachs feels, I think, is the way that everybody No. Speaker 3: I think I think no. I think if I think if Sachs gets his way, it'll be a big o outcome, and they're gonna prick Speaker 2: it to people. I think that's where everyone wants it Speaker 1: to go every year. Want Saks you wanna Speaker 3: turn it down. What I'm what I'm what I'm saying is the little o outcome is meaningfully worse than where this lawsuit is. Speaker 2: I'm I'm gonna make my final statement. There's a strong I agree with you, and I'm not trying to defend Google, and I'm not trying to defend some outcome here. I think you guys are correct. I think that because of how inflamed people are at the influence that these companies have, Meta and Twitter and Google, there is going to be a strong push to do a lot more than what the narrow focus of the ruling, in this particular case, to do something much more significant to hurt these companies and make them less influential and less powerful. Speaker 1: Sacks, anything to add? Speaker 0: I'm not inflamed. I have a point of view that I think is informed by facts and evidence. The fact of the matter is the vast, vast majority, well over 90% of the employees at Google are liberal Democrats. And the Google search does rely on manual actions and that people performing those actions are, again, overwhelmingly from one side of the political aisle. Furthermore, we can see in the search results that they do appear to be hopelessly biased in favor of 1 candidate at the expense of another. I mean, you're asking me to deny the evidence in my own eyes and ears. I can see what's happening. I think most people can see what's happening. I do not think that Google should be putting its thumb on the scale on one side of the election here. And Jason, you may have a point that it's reflecting the bias of the mainstream media, I don't think that makes it okay. I think that Google should have to work a little harder to be neutral and they could do that use they could do that easily by balancing their news sources.

@KanekoaTheGreat - KanekoaTheGreat

THREAD🚨 #GoogleLeaks #TwitterFiles In 2019, 950 pages of Google's internal documents leaked, providing evidence of Google's use of blacklists and machine learning algorithms to censor conservatives and populists. These are the type of source documents @elonmusk should release.

@KanekoaTheGreat - KanekoaTheGreat

Full thread on Google's 950 pages of leaked documents: https://t.co/0vogJ58lN2

@KanekoaTheGreat - KanekoaTheGreat

THREAD🚨 #GoogleLeaks #TwitterFiles In 2019, 950 pages of Google's internal documents leaked, providing evidence of Google's use of blacklists and machine learning algorithms to censor conservatives and populists. These are the type of source documents @elonmusk should release. https://t.co/rTracvjS9r

America1stLegal
Posted - September 13, 2024 at 12:45 PM
Saved - February 11, 2025 at 11:50 AM
reSee.it AI Summary
I uncovered documents revealing that the Biden-Harris administration collaborated with the U.K.'s Counter Disinformation Unit in 2021 to explore censorship strategies for COVID-related speech. High-level officials from various U.S. agencies attended meetings where the CDU shared their censorship techniques. This partnership aimed to create a centralized hub for government-wide censorship and involved coercing social media platforms. The U.K.'s Online Safety Act, which threatens U.S. citizens, reflects these efforts, highlighting a coordinated international approach to suppress dissent and promote specific ideologies.

@America1stLegal - America First Legal

/1🚨🗣️EXCLUSIVE — FOREIGN COLLUSION TO CENSOR AMERICAN SPEECH: New docs from litigation against the CDC reveal the Biden-Harris White House hosted the “Counter Disinformation Unit” from the U.K. gov’t in 2021 to learn about their recommendations to censor speech. 🧵THREAD:

@America1stLegal - America First Legal

/2 As a part of the NSC’s regular interagency meetings on censoring COVID-related speech in the United States, the White House hosted the Counter Disinformation Unit (CDU) from the U.K. government in 2021 to learn about their most effective censorship techniques.

@America1stLegal - America First Legal

/3 This meeting was attended by high-level staff from: 🚨White House 🚨NSC 🚨CIA 🚨FBI 🚨State Department 🚨Treasury 🚨Department of Defense 🚨Homeland Security 🚨Health and Human Services 🚨USAID 🚨Global Media 🚨Office of the Director of National Intelligence as well as high-ranking officers in the Army, Navy, and Air Force.

@America1stLegal - America First Legal

/4 At this meeting, the CDU outlined how they have been censoring the British public, and these documents expose how left-wing authoritarian governments across the globe are working together to attack free speech.

@America1stLegal - America First Legal

/5 During the censorship meeting, the Biden-Harris NSC invited the British government to share its censorship playbook. They recommended: 🚨Creating a dedicated hub to lead government-wide censorship efforts 🚨Passing legislation to enable the government to coerce social media companies 🚨Enlisting the Department of State to partner with foreign allies and multilateral institutions to coordinate the global censorship agenda Keep reading…

@America1stLegal - America First Legal

/6🚨A centralized hub to lead government-wide censorship efforts:   The Counter Disinformation Unit (CDU) is a British “cross-departmental” body that coordinates censorship programs across the whole of the British government. They “support formulation of a coordinated Government response” to the “threat” of misinformation (anything the government deems false).

@America1stLegal - America First Legal

/7 The CDU coordinates the British censorship program with private companies such as social media platforms and non-profits. The CDU includes components of the U.K.’s foreign policy apparatus, domestic and foreign intelligence services, and individuals working directly for the Prime Minister in the Cabinet Office’s National Security Unit.

@America1stLegal - America First Legal

/8 Our separate litigation previously uncovered that the Biden-Harris Admin convened similar public-private censorship partnerships in the U.S. well into 2024.

@America1stLegal - America First Legal

/1🚨#DeepStateDiaries RECAP🚨 Today, we are publicly releasing all of the documents from the Brennan-Clapper intel committee that we obtained in litigation. These docs further reveal the whole-of-government approach the Biden admin took to silence political dissent. 🧵RECAP:

@America1stLegal - America First Legal

/9 Around election time, the CDU stood up a “Central Election Cell” to kick censorship efforts into overdrive.

@America1stLegal - America First Legal

/10 During the U.S. 2022 Midterm elections, the Biden-Harris Administration similarly set up a National Election Command Post within the FBI.

@America1stLegal - America First Legal

/1🚨FBI SURVEILLANCE EXPOSED: Our lawsuit just exposed that the FBI implemented extensive nationwide social media monitoring ahead of the 2022 midterm elections. The FBI’s National Election Command Post received lists of “multiple Twitter accounts posting misinformation.” 🧵

@America1stLegal - America First Legal

/11🚨Enacting censorship laws In the meeting, the CDU shared how their proposal would allow them to directly coerce social media platforms to ensure that the government’s censorship demands were followed. By creating a new duty of care, the proposed legislation empowers a British regulatory agency to demand the censorship of content that the U.K. government deems harmful.

@America1stLegal - America First Legal

/12 The U.K. Online Safety Act came into force in October of 2023 and is the basis under which U.K. law enforcement officials have threatened to extradite and jail U.S. citizens.

@America1stLegal - America First Legal

/13 The law parallels recently resurfaced comments made by then Senator Kamala Harris in 2019, which called for the DOJ to punish social media companies that allowed “disinformation” and “misinformation.”

@America1stLegal - America First Legal

/14 One of our separate investigations confirmed that the Biden-Harris White House solicited policy recommendations from the British-based Center for Countering Digital Hate (CCDH)—the group behind the U.K. Online Safety Act—and adopted commitments to hold companies accountable through DOJ prosecutions and FTC enforcement actions for allowing “online harassment” on their platforms.

@America1stLegal - America First Legal

/1🚨CENSORSHIP SCANDAL EXPOSED — We just unearthed evidence that Biden’s DHS and State Dept. mobilized federal counterterrorism assets to support a foreign-based organization censoring American speech: the Center for Countering Digital Hate. THREAD:

@America1stLegal - America First Legal

/15🚨Establish regular lines of communication between government and social media platforms The CDU also relies heavily on “trusted flagging relationships.” Effectively, this means when the government directs social media companies to censor specific posts and individuals. This behavior of flagging posts led us to initially file the lawsuit, which resulted in the production of these documents and is at the heart of the Missouri v. Biden case, in which we filed two key Amicus Briefs on behalf of dozens of members in the House of Representatives.

@America1stLegal - America First Legal

/16 Prior doc releases we obtained in this litigation revealed that the Biden-Harris admin had also engaged in this sort of “trusted relationship” partnership with social media companies even before this meeting. 

@America1stLegal - America First Legal

/1 🚨🦠BREAKING: Following the #TwitterFiles, AFL has obtained new documents uncovering a secret Twitter portal U.S. Govt officials used to censor dissenting COVID-19 views and violate the First Amendment.   Follow along for disturbing findings from the 500+ page release ⤵️

@America1stLegal - America First Legal

/17🚨International government pressure The presentation appears to show that the U.K. government engages its foreign policy apparatus to further its censorship agenda and encouraged the U.S. to do the same. One of the so-called “significant benefits” of this approach would be, according to the presentation, that this unified front of government pressure would “encourag[e] cooperation from platforms.”

@America1stLegal - America First Legal

/18 The U.K. Foreign Office and the U.S. Department of State appear to play important similar roles in this international government censorship partnership. By coordinating across left-wing authoritarian governments, they can manipulate the global population into believing that there is no alternative to massive government censorship of social media, and “industry” would “efficiently implement[] new systems and processes.” In 2021, the U.K. boasted of a close working relationship with the U.S., Australia, and Canada, as well as bilateral relationships with 20 additional countries. This begs the question: how many nations have come on board with this initiative by now?

@America1stLegal - America First Legal

/19 The CDU presentation also highlights the role of multilateral institutions in this international engagement, specifically identifying the G7’s Rapid Response Mechanism and the United Nations Interagency Platform on Culture for Sustainable Development (IPCSD) under the heading: “Multilateral cooperation to counter disinformation.” The logos of the North Atlantic Treaty Organization (NATO), the International Criminal Court (ICC), and the European Center for Excellence of Countering Threats are visible under the heading, “International training and capability.”

@America1stLegal - America First Legal

/20🚨Promote leftist dogma Part of the U.K. government’s presentation included a description of a U.K. initiative called the “Counter Disinformation and Media Development Programme,” which was active in Eastern Europe from 2016 to 2021. According to their “Theory of Change,” one of the outcomes of this scheme was that the targeted populations would “reduce identification with pre-existing social biases” and increase “support for gender equality” and “liberal democratic values.”

@America1stLegal - America First Legal

/21 These terms may sound innocuous, but in practice, they are covers for left-wing social re-engineering experiments. For instance, money from the CDMD Programme was used to fund the “Global Disinformation Index,” which runs an “advertising blacklist” for websites that they allege push “anti-trans narratives.”

@America1stLegal - America First Legal

/22 These slides expose the Biden-Harris Administration’s cooperation with ideologically aligned leftist allies to push woke progressive dogmas while monitoring and censoring what Americans think and say.

@America1stLegal - America First Legal

/23 This release comes on the heels of calls from House Cybersecurity Subcommittee Chairwoman, @RepNancyMace, to ensure that the 2024 election is protected from the deep state censorship that was prevalent in the 2020 election.

@GOPoversight - Oversight Committee

🚨BREAKING: Rep. Nancy Mace is calling on President Joe Biden and VP Kamala Harris to provide all White House communications with social media companies and between federal employees about efforts to pressure social media platforms to censor online content. @RepNancyMace

@America1stLegal - America First Legal

@RepNancyMace /24 Find the full slide deck linked at the bottom of our release here: https://aflegal.org/exclusive-america-first-legal-obtains-new-internal-cdc-documents-revealing-foreign-collusion-in-biden-harris-government-censorship-regime/

EXCLUSIVE – America First Legal Obtains New Internal CDC Documents Revealing Foreign Collusion in Biden-Harris Government Censorship Regime WASHINGTON, D.C. – Today, America First Legal released new documents exclusively obtained in its litigation against the Centers for Disease Control and Prevention (CDC). AFL […] aflegal.org
bSmithMagic
Posted - December 27, 2024 at 9:36 AM
Saved - December 27, 2024 at 11:06 AM

@bSmithMagic - Robert

@IndSocEnjoyer https://t.co/VFA9QDiWNe

The1Parzival
Posted - January 17, 2025 at 6:42 PM
Saved - January 17, 2025 at 7:09 PM

@The1Parzival - THE PARZIVAL

@RepThomasMassie I'm still waiting for Congress to address the censorship happening here on X currently, but many of them are too busy swooning over Elon and not doing what they were elected to do. They all pretend to be about free speech except the defending of it. https://t.co/ZNHF4wCkUT

@The1Parzival - THE PARZIVAL

🧵 TWITTER ALGO FINALE THREAD 🧵 This thread will serve the purpose of providing a mountain of evidence to @realannapaulina for her congressional hearing against Twitter 1.0 employees for their role in mass censoring Conservative Americans. https://t.co/6Qf24tjJei

BrandonStraka
Posted - April 8, 2025 at 3:04 PM
Saved - April 8, 2025 at 3:49 PM
reSee.it AI Summary
I feel like my growth and reach on this platform are limited, and I believe I've identified a pattern from Twitter 1.0 that may be malicious code designed to hinder account growth. I shared my findings in an article I released yesterday.

@BrandonStraka - Brandon Straka #WalkAway

If you feel like your growth and/or your reach are restricted on this platform, you’re probably not wrong. I have discovered a pattern from Twitter 1.0 that I believe is malicious code to prevent account growth and restrict reach. It’s well documented in the article I released yesterday. @XEng @elonmusk @lindayaX

@BrandonStraka - Brandon Straka #WalkAway

EXPOSED: Does the X Platform Contain Malicious Code From Twitter 1.0 to Sabotage Growth and Suppress Reach? (Thread) @elonmusk @lindayaX 1. For over four years, my account on X appears to have been subjected to an insidious and deliberate suppression tactic—one designed to cripple my growth, and inhibit my reach. Every single day, the X platform automatically “unfollows” approximately 60% of the amount of that day’s gross new followers from my account. This began under Twitter 1.0 on November 10th, 2020, and has never stopped. Important to note: This was just 3 days after the Associated Press called the election for Joe Biden on November 7th, 2020. I believe that engineers of Twitter 1.0 may have created a malicious growth suppression algorithm code (referred henceforth as MGSAC) to manipulate account growth by slowing it down to around 1/3 of the rate the account would normally be growing at. I’ve carefully laid out the evidence of this claim in data, pictures, and video below…

Kaizerrev
Posted - June 3, 2025 at 4:50 AM
Saved - June 3, 2025 at 3:02 PM

@Kaizerrev - KaizerRev

Palantir has a enemies list of 1-2 million US Citizens that they have classified as "potential political dissidents" 👀 https://t.co/7yOvDOc7mI

Video Transcript AI Summary
Israel uses a system called Lavender to decide who to kill, assigning scores to Palestinians and drone striking those above a certain threshold. Palantir creates these "murder lists" by scraping data from Facebook, satellite imagery, and other surveillance sources, compiling personal information to assign weighted scores and identify targets. Palantir, founded by individuals with ties to the Israeli government and the CIA, also maintains an "enemies list" of 1 to 2 million US citizens for the CIA and federal law enforcement. This list classifies Americans as potential political dissidents based on surveillance data and AI, assessing their threat level to the government, extremist views, and potential for anti-government activity in scenarios like martial law or civil war.
AI Similar Videos
Full Transcript
Speaker 0: This is how Israel makes decisions about who to kill. Anybody above a certain threshold of that value of that score will be killed. So let's say Lavender has a list of millions of Palestinians. Let's say a hundred thousand of them have the % rating, % Hamas terrorist. Israel's gonna drone strike and kill all those people. Then they're gonna move on and say, everybody above 90% threshold is gonna get drone strike and killed. Everybody above this, a sign of value. This is what Palantir does. They're in the business of creating murder lists. They're scraping Facebook, scraping satellite imagery from various militaries and intelligence agencies and other forms of surveillance to create databases of personal information, names, faces, dates of birth, financial information, geolocation, bank information, healthcare information, relationships, family or otherwise. And they're creating kill lists, assigning weighted scores, using algorithms, using artificial intelligence to tell the military which people to drone strike. And before people say, Oh, well, that's totally innocuous, three Zionists involved with the Israeli government and the CIA from the very beginning created a total surveillance state platform. They are clearly loyal to Israel. They built it in Israel to kill Palestinians. Some people might try to convince you that that doesn't matter. So what? That's happening in Israel. That's happening in Gaza. Who cares about whether they're killing people in Hamas? What does that have to do with America? Would you like to know that Palantir has an enemies list of US citizens as well? This is confirmed and verified that Palantir has a list that they maintain for the CIA, for federal law enforcement of one to 2,000,000 Americans that they have classified as potential political dissidents. They have this, you can Google this. They have millions of American citizens on a database that they created with surveillance, with artificial intelligence, a weighted score to determine which American citizens will be a threat to the government. Which ones are extremists? Which ones are potentially domestic violent extremists? Which ones hold anti government views? Which ones would the government have to worry about in a martial law civil war scenario? They maintain that for The United States. You're telling me that's not a problem? This is who we're dealing with.
The1Parzival
Posted - November 13, 2023 at 1:07 AM
Saved - November 13, 2023 at 2:19 AM

@The1Parzival - THE PARZIVAL

🧵 TWITTER ALGO FINALE THREAD 🧵 This thread will serve the purpose of providing a mountain of evidence to @realannapaulina for her congressional hearing against Twitter 1.0 employees for their role in mass censoring Conservative Americans. https://t.co/6Qf24tjJei

America1stLegal
Posted - September 13, 2024 at 12:45 PM
Saved - September 14, 2024 at 6:23 AM

@America1stLegal - America First Legal

/1🚨🗣️EXCLUSIVE — FOREIGN COLLUSION TO CENSOR AMERICAN SPEECH: New docs from litigation against the CDC reveal the Biden-Harris White House hosted the “Counter Disinformation Unit” from the U.K. gov’t in 2021 to learn about their recommendations to censor speech. 🧵THREAD: https://t.co/bZ9H8gYQec

The1Parzival
Posted - May 11, 2023 at 3:45 AM
Saved - June 21, 2023 at 4:01 AM
reSee.it AI Summary
Twitter's alleged suppression algorithm, known as TombstoneGenerator, has raised concerns about mass censorship. The coding reveals visibility parameters, stats receivers, and media withheld due to local laws. The intrusive nature of this algorithm needs urgent attention from Elon Musk and Twitter. Users are metaphorically given a tombstone, limiting their visibility. Fact-check the algorithm here: [link]. I plugged the TombstoneGenerator Code into ChatGPT to understand its use in censoring users. For the algorithm's direct link, visit: [links].

@The1Parzival - THE PARZIVAL

🧵 TWITTER SUPPRESSION ALGORITHM THREAD 🧵 If you have ever been censored on Twitter or other platforms you will want to read this. This Thread will Expose the ALGORITHM LIKELY USED BY TWITTER FOR MASS CENSORSHIP. Let me introduce you to the Tombstone Generator! 💪@elonmusk

@The1Parzival - THE PARZIVAL

Yes, there is really an ALGORITHM that is called "TombstoneGenerator", which is buried deep in the layers of the coding for Twitter. We can see some of the Coding regarding "VISIBILITY" here in the first lines of Code.

@The1Parzival - THE PARZIVAL

Here is some of the following Code expanding on the previous Code pictured above. It has coding for "visibilityParams" and "statsReceiver". Not to mention the Coding for "LocalLawsWithheldMedia".

@The1Parzival - THE PARZIVAL

The final parts of the ALGORITHM seem to be the most intrusive of all the Code. Hopefully this is something @elonmusk and @Twitter can fix with urgency!

@The1Parzival - THE PARZIVAL

It appears that this algorithm is giving Users the Metaphorical Tombstone by the Undertaker when it comes to visibility. If you want to fact check you can start here.

Elon Musk on Twitter “Twitter recommendation source code now available to all on GitHub https://t.co/9ozsyZANwa” twitter.com

@The1Parzival - THE PARZIVAL

Follow the path to find the Code and check for yourself.

@The1Parzival - THE PARZIVAL

BOOM! 🎤⬇️

@The1Parzival - THE PARZIVAL

🎤⬆️ I decided to plug the TombstoneGenerator Code into ChatGPT and ask how it is used to censor users. Here is the output response I received.

@The1Parzival - THE PARZIVAL

Here is the direct link to the Algo: https://github.com/twitter/the-algorithm/blob/90d7ea370e4db804fb8f57fcb133a84af767dbfb/visibilitylib/src/main/scala/com/twitter/visibility/generators/TombstoneGenerator.scala

Build software better, together GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. github.com

@The1Parzival - THE PARZIVAL

THE PARZIVAL on Twitter “🧵 TWITTER RANKING & BOOST/DEBOOST ALGORITHM THREAD 🧵 📢 SHARE FAR AND WIDE 📢” twitter.com

@The1Parzival - THE PARZIVAL

THE PARZIVAL on Twitter “🧵 FREEDOM OF SPEECH, NOT REACH THREAD 🧵 Did you know there is actually an ALGORITHM in the the Twitter Code that is called "FreedomOfSpeechNotReach" and it is Moderating Content that involves Ukraine?” twitter.com

@The1Parzival - THE PARZIVAL

THE PARZIVAL on Twitter “🧵 MISSING TWITTER CODE AND GIZMODUCK AI THREAD 🧵 It appears that when Elon made the Algorithm Open Source, he did not release ALL OF THE CODE. Anyone else find it funny that Elon talks a lot about the DANGERS OF AI, but has never mentioned Twitters AI by Name?” twitter.com

@The1Parzival - THE PARZIVAL

THE PARZIVAL on Twitter “🧵 TWITTER ALGORITHM CHEAT CODE THREAD 🧵 I think many will agree that censorship is still alive and well on Twitter, even those who have paid for TWITTER BLUE. These things can be fixed, BUT it has to be done through editing of the Algorithm and Input Parameters.” twitter.com

@The1Parzival - THE PARZIVAL

THE PARZIVAL on Twitter “🧵 TWEEPCRED AND REPUTATION TWITTER ALGORITHM THREAD 🧵 Ever wonder why once your Twitter Account gets BLACKLISTED it seems almost impossible to get off? This thread will explain why this likely happening.” twitter.com

@The1Parzival - THE PARZIVAL

THE PARZIVAL on Twitter “🧵 TWITTER ALGORITHM CHECKMATE THREAD 🧵 This Thread will highlight that the "FULL" Twitter Algo is still not available and ALL THE "TRIGGER TERMS" are still hidden in this MISSING CODE.” twitter.com
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