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Two individuals discuss how comments on TikTok and Instagram can be manipulated to create division. They note how different comments are shown to each person, leading to mocking and conflict. They criticize the algorithm for curating conversations unnaturally, changing the dynamics of discussions. They suggest that controlling comments can incite anger and create divides between people, causing them to fight instead of realizing their similarities.

Social media's role in reporting incidents was discussed, with the claim that social media posts often do not depict the entire incident, presenting only one version of events. It was asserted that social media and mainstream media commentaries sometimes misrepresent circumstances, which complicates thorough investigation and law enforcement by distorting the reality of events. In response to a question about what was distorted, it was stated that social media irresponsibly shows one side of the equation, lacking factual context, leading to misinformation that investigators then have to manage.

Misinformation is a problem now handed to the younger generation, as making information available didn't guarantee people wanting correct information. Online harassment, as experienced by the speaker's daughter and her friends, highlighted this issue. Context matters, as people seek correct information for medical advice but may prioritize shared views in their communities. The boundaries of free speech need to be defined, especially regarding inciting violence or discouraging vaccinations. Rules are needed, but with billions of online activities, AI might be necessary to enforce them, as delayed action can result in irreversible harm.

Online platforms, particularly X, often serve as a breeding ground for hatred. There is a lack of effective regulation to combat online hate, including Islamophobia and racism, which can be found in numerous posts daily. Social media platforms are not doing enough to address these issues, and the spread of fake news often exacerbates the problem.

The discussion centers on shadow banning, referencing a Project Veritas video where a Twitter engineer claimed that machine learning algorithms target Republicans. One participant questions the validity of this statement, emphasizing that the engineer was not officially representing Twitter and was speaking in a casual setting. The other participant asserts that the claims made by the engineer are false, stating that Twitter does not use political ideology or party affiliation in its internal processes. They maintain that the practices described do not reflect Twitter's actual operations.

We support free speech, but there are limits, especially when it incites violence or discourages vaccination. It's important to define these boundaries. If we establish rules, how can we enforce them effectively, perhaps using AI? With billions of activities occurring, identifying harmful content after the fact can lead to significant consequences.

The speakers discuss the Twitter data snapshot on US political misinformation. They mention that the algorithm used to rank tweets seemed to favor right-leaning terms and flagged certain terms like "MyPillow" and "patriots" as political misinformation. They also mention that regular users with fewer than 10,000 followers were more heavily impacted by the algorithm. They express concerns about potential censorship and question if the code and search parameters have been updated. The speakers mention the recent news about changes in the trust and safety team.

Speaker 0 questions the idea that Doctor Fauci is involved in a plot to kill millions, seeking clarity on the claim. Speaker 1 says they are reasonable and that Fauci is not an innocent bystander; he is aware of what he’s doing, but the extent of involvement is not known to them. Speaker 2 cites the Center for Countering Digital Hate, stating Dirashad Bhattar is one of the top spreaders of COVID disinformation, once with more than a million followers. Bhattar allegedly claimed “More people are dying from the COVID vaccine than from COVID,” and that “the Red Cross won’t accept blood from people who have had the COVID nineteen vaccine.” He posted that “most who took COVID vaccines will be dead by 2025,” and promoted the overarching conspiracy that COVID was a planned operation as part of a secret global plot to depopulate the earth. Speaker 0 asks if Speaker 2 believes the pandemic was planned; Speaker 2 confirms there is a suspicion of a plan to reduce the population, though Speaker 1 says they have no idea. Speaker 2 criticizes Bhattar, saying it would be laughable if it weren’t so dangerous and that Qatar (Qatar’s commentary) compares COVID and the vaccine to World War II and Doctor Anthony Fauci to Adolf Hitler. Speaker 1 pushes back by asking to what extent Fauci would be equated with Hitler. Speaker 3 asserts that lies cost lives in a pandemic, and that encouraging people not to vaccinate will cause people to lose their lives. Speaker 2 describes Qatar as encouraging distrust of life-saving vaccines and using false, twisted information and unproven conspiracies to do so. Speaker 0 asks if the COVID vaccine works. Speaker 1 states the vaccine is very effective at what it was designed for, but “it’s not preventing death. Certainly not.” Speaker 2 contradicts, claiming that Bhattar believes life-saving vaccines are more dangerous than the virus itself, and Speaker 1 asks why the vaccine would cause more deaths than the problem itself, noting 6,340,000,000 doses administered. Speaker 0 requests the completion of a sentence about what each vaccine is geared up for, but Speaker 1 says he’s not a vaccine developer and mentions “Scientific corruption.” Speaker 2 notes Qatar has been removed from Facebook and Instagram due to disinformation but remains on Twitter, Telegram, and his own site, filled with falsehoods. Speaker 0 recalls a September 5 retweet of a doctored AstraZeneca packaging photo suggesting the vaccine was made in 2018; Speaker 1 says the photo was perhaps fake, and questions why Speaker 0 would challenge the agencies that have caused deaths. Speaker 0 argues it’s reasonable to question agencies, noting Speaker 1 had 1,200,000 followers who received false information; Speaker 1 admits if a tweet with a doctor’s photo was sent in error, it was a mistake, and he cannot make mistakes on the numbers. Speaker 2 notes vaccine studies showing vaccines remain ninety percent effective in preventing hospitalization and death, while Qatar claims the vaccine is the danger. Speaker 1 counters that thousands are dying and the delta variant is “vaccine injured,” citing CDC data, which Speaker 0 disputes as not true. Speaker 1 asserts he does not want to be part of a mass genocide and suggests this era will be remembered as a worst time in history, even worse than World War II. Speaker 0 concludes by calling Speaker 1 crazy. Speaker 2 ends with a reference to North Carolina’s Board of Medicine reprimanding someone prior to COVID.

Rhetoric on social media is seen as a threat to democracy by all speakers. Concerns are raised about targeting officials with violence and the consequences of inflammatory language. Specific examples of violent incidents and controversial statements on social media are discussed, with questions directed at a witness regarding their own rhetoric. The witness is challenged on their characterization of events and is asked to update their testimony based on new information.

There is a discussion about government censorship on Twitter. Speaker 0 claims there is no evidence of government censorship of lawful speech. Speaker 1 presents an email from the Biden administration requesting the removal of a tweet. Speaker 0 asks for the tweet to be read, but it is not available. Speaker 1 argues that the tweet was about lawful speech because it was from Robert Kennedy Jr. Speaker 1 accuses the administration of trying to censor speech. The discussion continues, with Speaker 1 requesting the tweet to be entered into the record. The video ends with Speaker 1 mentioning the tweet was about Hank Aaron's death after receiving the vaccine.

You advocated for vaccines but now support limiting online speech. There are concerns about migration levels in the UK. You have a responsibility to be accurate, which you claim to be 95% of the time.

A speaker claims that in Britain, over a quarter of a million people have been issued non-crime hate incidents, and people are imprisoned for reposting memes and social media posts. They ask if the Trump administration would consider political asylum for British citizens in this situation. Speaker 1 responds that they have not heard this proposal or discussed it with the president, but they will speak to the national security team to see if the administration would entertain it.

The panel discussion focuses on how major platforms like Google, Twitter, and Facebook are addressing false and misleading narratives surrounding COVID-19. The speakers discuss their policies and strategies for moderating and mitigating misinformation. They highlight the importance of providing authoritative information, removing harmful content, and addressing borderline content that could lead to vaccine hesitancy. The panelists also acknowledge the challenges of handling misinformation during a rapidly evolving crisis and emphasize the need for flexibility and adaptability in their approaches. They mention the use of AI systems and human review to sift through vast amounts of data and the importance of partnerships with health authorities and fact-checking organizations.

The FBI forced social media platforms to remove information from conservative sources, claiming it was disinformation. Speaker 0 asks for a definition of disinformation, but Speaker 1 avoids directly answering. Speaker 0 points out that Elvis Chan, a key witness, testified that 50% of alleged election disinformation was taken down or censored, including content from American citizens. Speaker 1 denies this and states that the FBI does not moderate content or influence social media companies. Speaker 0 insists that Speaker 1 should read the court opinion. The transcript ends abruptly.

The speaker claims that individuals from the Biden administration would call and berate their team about certain documents. The speaker says that emails related to this are published. The speaker states that their team refused to take down content that was true, including a meme about potential class action lawsuits related to COVID vaccines. They also refused to remove humor and satire. The speaker alleges that President Biden made a statement suggesting "these guys are killing people," after which various government agencies began investigating their company, which they describe as "brutal."

The speakers discuss the issue of hate speech on Twitter. Speaker 0 mentions that there aren't enough people to police hate speech, while Speaker 1 questions what constitutes hateful content. Speaker 0 admits to seeing more hateful content personally but cannot provide specific examples. Speaker 1 challenges this, stating that without examples, Speaker 0 doesn't know what they're talking about. The conversation then shifts to COVID misinformation and the BBC's role in reporting it. Speaker 1 accuses the BBC of misinformation and changing its editorial policy under government pressure. Speaker 0 clarifies that they are not a representative of the BBC and tries to steer the conversation elsewhere. Speaker 1 continues to press the issue.

The discussion centers on COVID-19 misinformation and the roles of public figures and disinformation spreaders. Speaker 0 questions whether doctor Fauci is involved in a plot to kill millions. Speaker 1 says he cannot confirm involvement but asserts Fauci is not an innocent bystander and is aware of his actions; he doesn’t have the information to determine the extent of Fauci’s involvement. Speaker 2 identifies Dr. Dirashid Bhattar as one of the top spreaders of COVID-19 disinformation on social media, citing the Center for Countering Digital Hate, noting Bhattar once had more than a million followers. The dialogue includes several false or debunked claims attributed to Bhattar. Speaker 1 states that “More people are dying from the COVID vaccine than from COVID,” a claim Speaker 2 labels as not true, along with Bhattar’s assertion that “the Red Cross won’t accept blood from people who have had the COVID vaccine,” and his claim that “most who took COVID vaccines will be dead by 2025.” Bhattar’s broader theory is that COVID was a planned operation, politically motivated as part of a secret global plot to depopulate the earth. Speaker 0 asks if Speaker 1 believes the pandemic was planned; Speaker 1 responds affirmatively but says he has no idea who is behind it. Speaker 2 warns that praising or repeating Bhattar’s views is dangerous, noting Bhattar’s use of false or twisted information to distrust vaccines. The conversation touches on whether the COVID vaccine works; Speaker 1 says the vaccine is “very effective at what it was designed for perhaps,” but “not preventing death.” Speaker 0 challenges this, and Speaker 2 counters that Bhattar doubles down on vaccines being more dangerous than the virus, even in the face of data. A numerical claim is raised: “6,340,000,000 doses of this vaccine have been given,” with implications if the claim were true. Speaker 1 says vaccines are designed with ingredients published and that each vaccine appears to be different, though he concedes not being a vaccine developer. Speaker 2 notes Bhattar has been removed from Facebook and Instagram for disinformation but remains active on Twitter, Telegram, and his own site. Speaker 0 references a September 5 retweet of a photo suggesting AstraZeneca was made in 2018; Speaker 1 acknowledges it could have been fake and questions why Bhattar would share such content. A combined exchange discusses questioning agencies and the consequences of misinformation, with Speaker 0 accusing Bhattar of contributing to a mass misinformation problem and Speaker 1 acknowledging the existence of a large follower base that has received false information. The dialogue closes with a mention of a statement from North Carolina’s Board of Medicine prior to COVID, implying regulatory context or action.

The panel discussion focuses on how major platforms like Google, Twitter, and Facebook are addressing false and misleading narratives surrounding COVID-19. The panelists discuss their strategies for content moderation, including removing harmful misinformation, reducing the distribution of certain content, and providing authoritative information to users. They also address the challenges of handling misinformation during a pandemic when information is constantly evolving. The panelists emphasize the importance of partnerships with health authorities and fact-checking organizations. They highlight the use of AI and human review in content moderation and the need for flexibility and adaptability in policies and systems. The panel concludes by discussing the balance between free expression and safety on social media platforms.

The speaker discusses the issue of vaccine disinformation and the need for platforms like Facebook to be more transparent about their algorithms and engagement. They emphasize the importance of holding these platforms accountable and demanding better. The conversation also touches on the spread of misinformation by Donald Trump and the similarities between misinformation about elections and blocking access to vaccines. The speaker suggests that self-policing across various groups, such as lawyers and state medical boards, is necessary. They mention the damage caused by false claims and express hope for investigations into profiteering off the pandemic.

The conversation on TikTok includes condemning online harassment and threats of violence. The discussion touches on responsibility for attacks following posts and the presence of white nationalism in the conservative movement. The topic of endorsing harmful rhetoric and audience behavior is also addressed.

Jessica. Thank you, madam speaker. If a Minnesotan writes an article claiming COVID-19 is a Chinese bio-weapon and someone reports it to the Department of Human Rights, should it be included in their bias registry under your bill? Representative Vang: Not all incidents are violent or criminal. Given the rhetoric since the pandemic, accusing Asians of bringing in the virus is bias-motivated and can be considered a bias incident. Representative Niska: So, it seems that factual arguments could be included in the Department of Human Rights database. If someone wears a t-shirt saying "I love J.K. Rowling" and is reported for gender identity bias, should that be in the bias database? Representative Vang: That question is best answered by legal experts. The incident must substantially relate to bias and hate, and it’s up to investigators to decide.

Speaker 0 and Speaker 1 discuss hate speech and content moderation on Twitter, as well as COVID misinformation policies and broader editorial questions. - Speaker 0 says they have spoken with people who were sacked and with people recently involved in moderation, and they claim there is not enough staff to police hate speech in the company. - Speaker 1 asks if there is a rise in hate speech on Twitter and prompts for personal experience. - Speaker 0 says, personally, they see more hateful content in their feed, but they do not use the For You feed for the rest of Twitter. They describe the content as something that solicits a reaction and may include something slightly racist or slightly sexist. - Speaker 1 asks for a concrete example of hateful content. Speaker 0 says they cannot name a single example, explaining they have not used the For You feed for the last three or four weeks and have been using Twitter since the takeover for the last six months. When pressed again, Speaker 0 says they cannot identify a specific example but that many organizations say such information is on the rise. Speaker 1 again pushes for a single example, and Speaker 0 repeats they cannot provide one. - Speaker 1 points out the inconsistency, noting that Speaker 0 claimed more hateful content but cannot name a single tweet as an example. Speaker 0 responds that they have not looked at that feed recently, and that the last few weeks they saw it but cannot provide an exact example. - The discussion moves to COVID misinformation: Speaker 1 asks about changes to COVID misinformation rules and labels. Speaker 0 clarifies that the BBC does not set the rules on Twitter and asks about changes to the labels for COVID misinformation, noting there used to be a policy that disappeared. - Speaker 1 questions why the labels disappeared and asks whether COVID is no longer an issue, and whether the BBC bears responsibility for misinformation regarding masking, vaccination side effects, and not reporting on that, as well as whether the BBC was pressured by the British government to change editorial policy. Speaker 0 states that this interview is not about the BBC and emphasizes that they are not a representative of the BBC’s editorial policy, and tries to shift to another topic. - Speaker 1 continues pushing, and Speaker 0 indicates the interview is moving to another topic. Speaker 1 remarks that Speaker 0 wasn’t expecting that, and Speaker 0 suggests discussing something else.