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AI-Generated Anti-ICE Videos Are Getting the Fanfic Treatment

content@helloomylife.com by content@helloomylife.com
January 29, 2026
in Tech
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AI-Generated Anti-ICE Videos Are Getting the Fanfic Treatment
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At first look, the scuffle in the video appears stunning. A New York Metropolis faculty principal, waving a bat, stops masked ICE agents from making an attempt to enter the constructing, and as an alternative of violence, the encounter erupts with cheers from onlookers. “Let me present you why they name me bat lady,” she says to them. In other clips prefer it, a server flings a bowl of scorching noodles at two officers eating at a Chinese language restaurant, and a shop owner flexes her Fourth Modification rights. Not one of the encounters finish in bloodshed.

The movies, equal elements tense and bombastic, are additionally clearly AI-generated. They’re a part of a constellation of anti-ICE AI content material that’s spreading throughout social media because the federal occupation of Minneapolis—a part of the Trump administration’s assault on immigrants—has resulted in brokers killing two US residents in January. Each Renee Nicole Good, a 37-year-old mom of three, and Alex Pretti, a 37-year-old US Division of Veterans Affairs ICU nurse, have been unarmed after they have been fatally shot by authorities officers.

In America, the role of fantasy—the act of imagining a greater world and placing motion behind it to make it true—is paramount throughout occasions of political unrest. The movies, which have hundreds of thousands of views on Fb and Instagram, supply a mix of revisionist justice that imagines a digital multiverse the place the ICE brokers are similar to us: not above the rule of regulation.

Within the combination, anti-ICE AI movies are a means for folks to push towards the distortions painted by the Trump administration and MAGA influencers to justify their actions, says AI creator Nicholas Arter. “Over the past decade, social media served that function by giving a voice to individuals who lacked entry to conventional media. It’s not stunning that with AI, one other main technological shift, we’re seeing related patterns repeat, with folks utilizing the instruments out there to articulate feelings, fears, or resistance.” However whereas they may really feel cathartic, the movies themselves are additionally a sort of distortion. That may have penalties, whether or not bolstering the narrative that individuals of coloration are agitators, or making the general public extra skeptical of precise video proof.

An account going by the title Mike Wayne, whose proprietor declined a number of requests, seems to be one of many style’s most prolific posters. The account has uploaded greater than 1,000 movies, usually of individuals of coloration preventing off ICE brokers to his Instagram and Facebook pages since Good was shot on January 7. Tonally, the clips learn like digital counter narratives: a clip of ICE brokers taking a perp walk, a Latina girl slapping an officer, or a priest pushing masked officials from the doorways of his church, asserting, “I don’t know what god you worship, perhaps an orange one, however my god is love.” (In actuality, federal brokers arrested roughly 100 clergy members final week throughout a protest on the Minneapolis-St. Paul airport, the place religion leaders stated an estimated 2,000 folks had been deported from.)

The movies create an alternate timeline, the place the eagerness and anger of People resisting the federal occupation of their cities doesn’t price lives—and accountability truly issues. One among Wayne’s most-watched clips is of an ICE agent preventing white tailgaters at a sporting occasion, a imaginative and prescient seemingly so surreal it has been considered 11 million occasions in lower than 72 hours. “Down with facism,” one particular person says within the background. Humor additionally performs an vital function in these fanfiction-style movies. In a clip posted by meme account RealStrangeAI, four drag queens in neon wigs chase ICE officers by way of a St. Paul neighborhood.





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