"A Danger to Democracy" - Shehab Khan on Elon Musk
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Who said what, and about what
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Every claim, checked
No claims match the selected verdicts.
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Claim 1
“The fact that we have tech billionaires in place who are able to dictate how we think, uh what we feel, how we vote”
Tech billionaires are able to dictate how people think, feel, and vote.
The claim hinges on the undefined term "dictate," which could mean anything from influencing exposure and opinions to deterministically controlling beliefs and votes. Available research supports influence by platforms and recommendation systems, but does not establish the stronger meaning of dictation.
Checked twice, independently: the first pass returned Unverifiable and the second Misleading. Recorded as Unverifiable.
Sources
- 1Online targeting: Final report and recommendations↗
Background
The decisions made by online targeting systems influence the flow of information in society and this affects what people perceive as normal, important and true.
- 2The political effects of X’s feed algorithm↗
Background
These results suggest that initial exposure to X’s algorithm has persistent effects on users’ current political attitudes and account-following behaviour, even in the absence of a detectable effect on partisanship.
- 1Online targeting: Final report and recommendations↗
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Claim 2
“The fact that algorithms are deciding it, particularly when those algorithms are decided by people like Elon Musk”
Elon Musk has exercised influence over X's recommendation algorithm.
X's own description says its recommendation algorithm controls what users see in the For You timeline, and reporting found that Musk directed engineers to reconfigure the algorithm to increase the visibility of his posts.
Sources
- 1A new era of transparency for Twitter↗
Supports
On GitHub, you’ll find two new repositories (main repo, ml repo) containing the source code for many parts of Twitter, including our recommendations algorithm, which controls the Tweets you see on the For You timeline.
- 2Elon Musk reportedly forced Twitter algorithm to boost his tweets after Super Bowl flop↗
Supports
Twitter chief executive Elon Musk rallied a team of roughly 80 engineers to reconfigure the platform’s algorithm so his tweets would be more widely viewed, tech news site Platformer has reported.
- 1A new era of transparency for Twitter↗
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Claim 3
“who are happy to repost Islamophobic and racist conspiracy theories whenever they feel like it”
Elon Musk has reposted or endorsed racist and Islamophobic conspiracy-related content.
Documented examples include Musk endorsing the Great Replacement conspiracy theory, which Reuters described as an antisemitic and racist conspiracy theory, and quote-tweeting posts by the Islamophobic far-right figure Tommy Robinson.
Sources
- 1White House blasts Musk's 'hideous' antisemitic lie, advertisers pause on X↗
Supports
Musk on Wednesday agreed with a post on X that falsely claimed Jewish people were stoking hatred against white people, saying the user who referenced the "Great Replacement" conspiracy theory was speaking "the actual truth."
- 2Why is Elon Musk boosting an anti-immigrant film loved by the far right?↗
Supports
Musk “used the incident to amplify violent migrant narratives inspiring calls for violence, with little apparent consequence on the platform”, concluded a report from the non-profit Center for Countering Digital Hate, which pointed out how Musk’s posts about the stabbing and the riots – including his quote-tweeting of the Islamophobic thug Tommy Robinson’s inflammatory posts – obtained more than 64m views.
- 1White House blasts Musk's 'hideous' antisemitic lie, advertisers pause on X↗
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Claim 4
“and therefore can tailor that algorithm to push out very harmful content”
Musk can tailor X's recommendation algorithm to distribute very harmful content.
Musk demonstrably influenced changes to X's algorithm, and research finds that recommendation systems can amplify political or inflammatory material. However, the claim presents intentional tailoring toward "very harmful content" as established without evidence identifying such a design or intent.
Omits: The evidence establishes that Musk and X could modify recommendation systems and that harmful or inflammatory material circulated, but it does not establish that Musk specifically tailored the algorithm to promote harmful content as such.
Sources
- 1Elon Musk reportedly forced Twitter algorithm to boost his tweets after Super Bowl flop↗
Supports
Engineers then deployed a new algorithm that artificially inflated Musk’s tweets by a factor of 1,000, ensuring that more than 90% of Musk’s 128.9m followers see them.
- 2The political effects of X’s feed algorithm↗
Background
We found that the algorithm promotes conservative content and demotes posts by traditional media.
- 3Online targeting: Final report and recommendations↗
Background
There is some evidence of harms caused by online targeting systems in relation to autonomy and vulnerability, democracy and society, and discrimination.
- 1Elon Musk reportedly forced Twitter algorithm to boost his tweets after Super Bowl flop↗