In a recent controversy, former President Donald Trump posted a series of AI-generated images on his Truth Social platform, portraying Taylor Swift and her fans as endorsing his presidential campaign. This incident is linked to the John Milton Freedom Foundation, a Texas-based non-profit that has been accused of spreading misinformation while masquerading as a press freedom organization. Established last year, the Foundation claims to empower independent journalists and reinforce democratic principles, but its activities primarily center around generating engagement bait on social media and soliciting donations for a fellowship program, which is chaired by a high school sophomore.
The AI images, which depicted young women wearing “Swifties for Trump” T-shirts, gained traction after being shared by the conservative account @amuse, which has a substantial following on X (formerly Twitter). The account labeled the post as “satire” and included a watermark indicating sponsorship from the John Milton Freedom Foundation. This piece of disinformation drew attention as it highlights the capacity of generative AI technology to proliferate misleading content, especially in the political sphere. Despite the troubling implications of these images, Trump distanced himself from their creation during an interview with Fox Business, asserting no knowledge of the images, claiming they were generated by someone else.
Researchers specializing in misinformation have long cautioned that the emergence of AI tools to create misleading content could undermine the integrity of political discourse, particularly during election cycles. The surge of AI-generated content coincided with the recent release of Elon Musk’s Grok image generator and has already seen numerous digital renderings of political figures, including Trump and Vice President Kamala Harris. This situation illustrates broader concerns regarding the increasing ease of producing false imagery that could mislead voters and distort public understanding of political realities.
The @amuse account, which has amplified the AI-generated images, appears to be operated by Alexander Muse, a consultant for the John Milton Freedom Foundation. Muse has connections to a Substack where he posts rightwing commentary that often includes election-related conspiracy theories. The account not only promotes misleading narratives but has also engaged notable figures, such as Musk, who have interacted with its posts featuring more bizarre and salacious content. The ongoing posts from @amuse suggest a strategy to lure followers with sensationalism, furthering the reach of its foundation while fostering an environment ripe for misinformation.
The John Milton Freedom Foundation itself has a limited online presence despite its ambitious goals, including a plan to raise $2 million to award $100,000 grants to rightwing influencers. The foundation identifies its fellowship recipients, but minimal traceability exists to ascertain whether these influencers are aware of or endorse the organization. Currently, tax filings indicate that the foundation has reported gross receipts below $50,000, prompting skepticism about its operational capacity and funding. Moreover, the connections to conspiratorial content and misinformation raise questions about the foundation’s motives and the integrity of its backing.
Key personnel within the John Milton Freedom Foundation possess varying backgrounds in Republican politics, but Alexander Muse stands out for his extensive experience in digital media aimed at rightwing audiences. Having previously worked with the controversial Project Veritas, he aligns with a network of similarly vocal rightwing influencers. As the Foundation touts ambitions to elevate these influencers’ reach significantly, its current operations, detached from any substantial funding and mired in controversy, reveal the intricate landscape of misinformation and manipulation in contemporary politics. As the intersection of generative AI and political narratives continues to evolve, it underscores an urgent need for discourse around the ethics of media production and the responsibilities of those sharing potentially deceptive content.
