Identification and Classification of Images in e-Cigarette-Related Content on TikTok: Unsupervised Machine Learning Image Clustering Approach
Lee J, Murthy D, Ouellette R, Anand T, Kong G. Identification and Classification of Images in e-Cigarette-Related Content on TikTok: Unsupervised Machine Learning Image Clustering Approach. Substance Use & Misuse 2024, 60: 677-683. PMID: 40019898, PMCID: PMC11871408, DOI: 10.1080/10826084.2024.2447415.Peer-Reviewed Original ResearchConceptsImage clustering approachImage clustering modelsState-of-the-artE-cigarette-related contentMachine learning approachSocial media dataImage clusteringAnalysis of visual dataSocial media platformsVisual dataLearning approachMedia dataClustering approachMedia platformsImage-based social media platformsQualitative evaluationSocial mediaImage-based analysisImagesTikTokCluster modelUnsupervisedVideoClustersCloudIdentifying 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 approachModification of Electronic Nicotine Delivery Systems Among Adolescents and Young Adults.
Kong G, Lee J, Ouellette R, Morean M. Modification of Electronic Nicotine Delivery Systems Among Adolescents and Young Adults. Pediatrics 2024, 154 PMID: 38881359, PMCID: PMC11211691, DOI: 10.1542/peds.2023-063984.Peer-Reviewed Original ResearchElectronic nicotine delivery systemsNicotine e-liquidNicotine delivery systemsDisposable podsPerception of reduced harmE-liquidsDelivery systemYoung adultsNicotine vapingNicotineSocial mediaCannabisLogistic regressionAYAAssess awarenessWeb sitesSource of informationInformation sourcesPrevention effortsDisposable devicesVapingENDS usePotential harmAdolescentsUsing 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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