2023
Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification
Murthy D, Lee J, Dashtian H, Kong G. Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification. JMIR Infodemiology 2023, 3: e42218. PMID: 37124246, PMCID: PMC10139687, DOI: 10.2196/42218.Peer-Reviewed Original ResearchUser profilesSearch resultsAlgorithmic systemsUser profile attributesGraph convolutional networkYouTube search resultsProduct review videosK-means clusteringRecommendation algorithmUser attributesConvolutional networkMachine learningProfile attributesProduct reviewsUser characteristicsVideoReview videosUnderage usersYouTubeHigh accuracyHealth informationNetworkSex attributesClusteringAttribute factors
2021
Marketing Content on E-Cigarette Brand-Sponsored Facebook Profile Pages
Kong G, Kuguru KE, Bhatti H, Sen I, Morean ME. Marketing Content on E-Cigarette Brand-Sponsored Facebook Profile Pages. Substance Use & Misuse 2021, 56: 442-448. PMID: 33596764, PMCID: PMC9057308, DOI: 10.1080/10826084.2021.1878223.Peer-Reviewed Original ResearchConceptsMarketing strategiesFacebook profile pagePromotional contentE-cigarette marketingNegative engagementProfile pagesSales promotionMarketing contentPromotional strategiesOnline shopsFacebook postsFacebook policiesFeatured productsPositive engagementMarketingUnderage usersUnderage youthSocial mediaEngagementPolicyPost typePromotionUser engagementStrategiesComprehensive tobacco control policies