SOURCE-LINKED INTELLIGENCE
Structured Claim-Level Discourse Representations for Dense Health Narratives
Health discourse in social media videos often contains densely entangled claims spanning multiple thematic aspects, stances, evidential frames, and rhetorical functions within short conversational spans. Existing approaches largely rely on coarse topic-level, sentiment-based, or stance-oriented representations that do not adequately capture this structure. Our analysis identifies an average of 13.22 atomic claims per minute, motivating richer claim-level discourse representations. We introduce a structured framework for claim-level discourse analysis in dense health narratives. Our framework m
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T16:43:11.000Z
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.