Effects of Transcript Compression on LLM-based Medical Misinformation Detection in Japanese YouTube Videos

arXiv:2609.30882 · cs.CL · Submitted 2026-09-25 · Read on arXiv

cs.CL

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/yuya-wake/ASONAM2026

Terminology

• RAG — 25× in this paper · explained in 3 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• False Discovery Rate — 1× in this paper
• Generalizability — 1× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models
• Long Context vs. RAG for LLMs: An Evaluation and Revisits
• Gemini: A Family of Highly Capable Multimodal Models
• Qwen2 Technical Report
• Generative Large Language Models in Automated Fact-Checking: A Survey

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