How X Users Are Profiting from Misinformation and AI-Generated Content Around US Elections.

Users on the social media platform X claim to be earning “thousands of dollars” by sharing election misinformation, AI-generated images, and conspiracy theories.

Networks of accounts have been identified that repeatedly re-share each other’s content, a strategy that not only boosts their reach but also increases revenue. This phenomenon is raising concerns about whether X’s monetization approach may be encouraging the spread of misleading information at a critical time in US politics.

Dozens of accounts on X have been found to be part of coordinated networks, working together to amplify each other’s posts through likes, shares, and comments. According to our sources, these groups use forums and group chats to organize, with one user describing it as “a way of trying to help each other out.” By re-sharing each other’s content multiple times daily, these accounts increase engagement, allowing each member of the network to generate higher earnings

These networks do not align strictly with one political ideology. Some support specific figures like Donald Trump or Kamala Harris, while others claim independence. Despite this diversity, our sources report that some accounts in these networks have been approached by US politicians, including congressional candidates, seeking support for their campaigns.

On October 9, X revised its monetization rules. Now, earnings for eligible accounts with significant reach are based on engagement—likes, shares, and comments—from premium users rather than the number of ads shown under posts. Unlike other social media platforms, X does not have strict guidelines around misinformation, raising concerns about whether it might be incentivizing users to post provocative, potentially false claims.

Comparing Reported Earnings: Our sources reviewed the reported earnings of these X users and compared them with what they might typically earn based on views, followers, and interactions. The findings suggest that these reported figures are credible. Earnings range from a few hundred to thousands of dollars, depending on each user’s reach and engagement levels.

Examples of Misleading Content: Among the content shared by these networks are claims about election fraud, which have been debunked by authorities, and baseless allegations involving extreme accusations against political figures. Despite the potentially damaging nature of these posts, X’s monetization approach does not appear to penalize users for posting misinformation.

Conclusion: With the US political climate highly sensitive, the impact of X’s monetization policies on political discourse cannot be overlooked. The question remains: is X unintentionally encouraging the spread of misinformation by making it profitable?

This situation raises significant concerns about the role of social media platforms in shaping public opinion, especially when misinformation and provocative content are allowed to thrive without meaningful checks.

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