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Effects of Transcript Compression on LLM-based Medical Misinformation Detection in Japanese YouTube Videos
Large language models (LLMs) are increasingly used to assess long-form medical videos, but their effectiveness may depend on whether transcripts are provided in full or compressed through summarization, retrieval, or claim screening. This study examines how such transcript compression affects LLM-ba
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