Elisavet Andrikopoulou, Nicholas Talam, Aikaterini Kanta
{"title":"MedTok还是MythTok?用人工智能对TikTok上的健康错误信息进行分类。","authors":"Elisavet Andrikopoulou, Nicholas Talam, Aikaterini Kanta","doi":"10.3233/SHTI251497","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"67-71"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MedTok or MythTok? Classifying Health Misinformation on TikTok with AI.\",\"authors\":\"Elisavet Andrikopoulou, Nicholas Talam, Aikaterini Kanta\",\"doi\":\"10.3233/SHTI251497\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":94357,\"journal\":{\"name\":\"Studies in health technology and informatics\",\"volume\":\"332 \",\"pages\":\"67-71\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in health technology and informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/SHTI251497\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI251497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MedTok or MythTok? Classifying Health Misinformation on TikTok with AI.
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.