AI's Misinformation Problem Is Now Recursive — and the Fact-Checkers Are Part of the Loop

A Bluesky user watched a fabricated story — credited variously to "The Patel Report" and "Maddow Insider" — travel through their own feed this week and asked, with visible unease, whether the platform had started "slouching toward misinformation." The verb is doing something. Not *falling*, not *broken* — slouching, as in the slow drift of a community that sees what's happening and hasn't yet decided to interrupt it.

That post would have been unremarkable two years ago. What makes it strange now is the company it's keeping. The Iran-LEGO video — an AI-generated clip trolling Trump that circulated widely enough to earn multiple independent threads, the kind of cartoonish propaganda that would have seemed too crude to spread — is traveling anyway, sometimes approvingly, sometimes as ironic commentary, rarely with any friction at all. State-level influence operations have started to look like children's toys, and the aesthetic cheapness isn't stopping anyone. But beneath the obvious cases, something subtler is breaking. A 2025 study finding that roughly half of all AI-generated news summaries contained significant accuracy errors — with Gemini's interface reaching nearly three-quarters — reframes what "misinformation" even means. The fake content was never only what bad actors create. It's also what people receive when they turn to AI to check whether something is fake.

The argument over language — whether "deepfake porn" launders non-consensual image abuse into something that sounds like a genre rather than a crime — runs alongside all of this, and it matters more than it might appear. The advocates pushing back on that phrase are making a claim about epistemology, not just terminology: that how institutions name AI harm shapes whether they're capable of treating it as harm. That argument lands differently on Bluesky than it would have on Twitter precisely because Bluesky's collective self-image rests on the idea that its users are more careful about exactly these distinctions. This week's feed behavior is a stress test of that self-image, and the community knows it.

The recursion is the story. AI generates false content; the AI tools people use to audit that content produce unreliable verdicts; the platforms designed to outrun the last round of misinformation are developing new versions of it. The public is not confused about whether the problem is real — that argument closed some time ago. What's open now, visible in these conversations, is whether any of the systems people trusted to catch the lies have any idea what they're catching.