Identifying E-cigarette Content on TikTok: Using a BERTopic Modeling Approach
Lee J, Ouellette R, Murthy D, Pretzer B, Anand T, Kong G. Identifying E-cigarette Content on TikTok: Using a BERTopic Modeling Approach. Nicotine & Tobacco Research 2024, 27: 91-96. PMID: 39001654, DOI: 10.1093/ntr/ntae171.Peer-Reviewed Original ResearchSocial media researchSocial mediaMedia researchTobacco regulatory policiesE-cigarettesAnalysis of hashtagsTopic clustersE-cigarette marketingNon-English languageAmount of social media dataTobacco productsSocial media dataUse of e-cigarettesE-cigarette promotionsTikTokTikTok postsUnique hashtagsHashtagsE-cigarette contentMedia dataCluster textsAnalytic sampleVaping flavorsVaping identityQualitative approachUsing Computer Vision to Detect E-cigarette Content in TikTok Videos
Murthy D, Ouellette R, Anand T, Radhakrishnan S, Mohan N, Lee J, Kong G. Using Computer Vision to Detect E-cigarette Content in TikTok Videos. Nicotine & Tobacco Research 2024, 26: s36-s42. PMID: 38366342, PMCID: PMC10873490, DOI: 10.1093/ntr/ntad184.Peer-Reviewed Original ResearchConceptsE-cigarette-related contentSocial media platformsVideo-based social media platformsMedia platformsComputer vision modelsAverage F1 scoreComputer vision methodsComputer vision techniquesMachine learning modelsText-based approachComputer visionObject detectionAnnotated imagesVisual contentSocial mediaF1 scoreVision techniquesRecall valuesVision methodsVision modelsSocial media platformLearning modelsVideoComputerTikTok posts
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