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Towards reliable detection of online nutrition misinformation: LLM annotation, multi-view classification, and knowledge-grounded reasoning
Nutrition misinformation on social media often arises from selective or decontextualized interpretations of established dietary evidence, particularly in contested domains such as seed oils and omega-6 fatty acids. To address this challenge, we present a unified framework for annotation, detection,
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