MedTok or MythTok? Classifying Health Misinformation on TikTok with AI

Abstract

Social media platforms such as TikTok are increasingly used to access health information, particularly among younger and digitally connected populations. However, the unregulated nature of this content raises concerns about medical misinformation. This study applied an AI-assisted framework to evaluate the clinical accuracy of 619 TikTok transcripts related to diabetic foot care, using authoritative guidelines from the ADA, IWGDF, and IDSA. Findings show that while some videos convey partially accurate information, over 42% contained misleading or false claims, including advice that could delay treatment or worsen outcomes. Semantic analysis highlighted a prevailing focus on complications and amputation, with minimal attention given to preventive care and early intervention. These results underline the pressing need to address misinformation and promote responsible digital health education.

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