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This paper introduces Loom, an assisted writing framework that leverages a three-layer pipeline based on narratological story/discourse distinction to control narrative intent and rendering density, achieving improved factual integrity and descriptive intensity compared to baselines.
This paper studies the use of large language models to assist expert counterspeech writing when hate speech and misinformation co-occur, testing knowledge-driven strategies with human evaluation. The mixed strategy combining fact-checkers' and NGOs' guidelines proved most effective.