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Home»Social Media»Monetization of US Election Misinformation and AI-Generated Imagery on Platform X.
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Monetization of US Election Misinformation and AI-Generated Imagery on Platform X.

Press RoomBy Press RoomDecember 17, 2024
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X’s New Payment Model Fuels Spread of Misinformation in US Election

The US presidential election is heating up, and so is the spread of misinformation across social media platforms. X, formerly Twitter, has found itself at the center of this controversy due to its revised payment structure, which incentivizes user engagement regardless of content veracity. This has led to a proliferation of networks of accounts dedicated to amplifying both true and false narratives, potentially influencing the political landscape.

The BBC’s investigation has uncovered networks of X accounts that coordinate the sharing of each other’s content, often multiple times a day, to maximize reach and revenue. These networks span the political spectrum, supporting candidates from both sides of the aisle, as well as independent actors. While some content shared is factual, a significant portion consists of misinformation, AI-generated images, and unfounded conspiracy theories. Several users within these networks admitted to earning thousands of dollars through this system, with earnings correlating to the level of engagement their posts receive.

X’s shift to a payment model based on premium user engagement has inadvertently created a fertile ground for the spread of misinformation. While other social media platforms have policies to demonetize or suspend accounts that disseminate misleading content, X lacks such specific guidelines. This absence of clear rules has raised concerns about the platform’s role in incentivizing the propagation of provocative and potentially harmful claims, especially during a critical election cycle.

The BBC’s investigation found credible evidence of misleading and false posts originating on X, including debunked election fraud claims and unfounded allegations against candidates. These narratives have, in some cases, spilled over onto other platforms like Facebook and TikTok, amplifying their reach and impact. One example uncovered involved a doctored image purporting to show Kamala Harris working at McDonald’s, which was then used to fuel false claims of image manipulation by the Democratic Party. Similarly, unfounded conspiracy theories related to an assassination attempt on Donald Trump also gained traction across multiple platforms after originating on X.

One X user who goes by the name "Freedom Uncut" spoke to the BBC about his experience within these networks. He spends up to 16 hours a day posting content, including AI-generated images, often satirical in nature. He claims to earn "low thousands" of dollars monthly and acknowledges that controversial content generates the most views. While he maintains that his content is rooted in some version of reality, he suggests that others within these networks willingly share information they know to be false, purely for monetary gain. He also revealed that it’s common for political candidates to contact accounts like his for support, requesting the creation and sharing of memes and AI-generated content.

Another user, "Brown Eyed Susan," a supporter of Kamala Harris, also shared her experience. She revealed that her posts, some of which have promoted unfounded conspiracy theories, reach millions of users. While acknowledging the tragic reality of the assassination attempt on Donald Trump, she expressed doubts about aspects of the incident and shared manipulated images portraying the former president negatively. Like Freedom Uncut, she confirmed being contacted by political candidates seeking her support. This convergence of misinformation, financial incentives, and political outreach raises significant questions about the integrity of online discourse during the election. X’s lack of response to the BBC’s inquiries further fuels these concerns. As voters head to the polls, the unchecked spread of misinformation on platforms like X poses a significant challenge to informed decision-making and the democratic process itself.

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