2025
Remediated marketing: leveraging computer vision and rule-based classification models to detect e-cigarette warning labels across social media
Sharp K, Babaeianjelodar M, Murthy D, Ouellette R, Lee J, de la Noval A, Kamdar N, Kong G. Remediated marketing: leveraging computer vision and rule-based classification models to detect e-cigarette warning labels across social media. Information Communication & Society 2025, ahead-of-print: 1-20. DOI: 10.1080/1369118x.2025.2500485.Peer-Reviewed Original ResearchVideo framesLeverage computer visionRule-based classifierComputer vision technologyRule-based classificationSocial mediaComputer visionVision technologyDetect postsWarning messagesWarning labelsInformation consumersClassifierE-cigarettesVideoYouTubeYouTube videosDigital sphereHarms of tobacco useExposure to tobacco promotionBig TobaccoDigital landscapeE-cigarette manufacturersTikTokBigNational Trends and Directions for Suicide Prevention Research in South Korea: A Narrative Review
Lee A, Sun J, Baik M, Na P, Lee S, Paik J. National Trends and Directions for Suicide Prevention Research in South Korea: A Narrative Review. Psychiatry Investigation 2025, 22: 603-611. PMID: 40566885, PMCID: PMC12198889, DOI: 10.30773/pi.2024.0383.Peer-Reviewed Original ResearchSuicide prevention researchPrevention researchTraining programGatekeeper training programSuicide ratesSuicide prevention strategiesReduce suicide mortalitySuicide prevention effortsEnglish-language abstractsSuicide mortalitySuicide preventionPrevention effortsReporting guidelinesPrevention strategiesCarbon monoxide exposureNational trendsNarrative reviewLong-term impactCelebrity suicideSocial mediaSuicideSouth KoreaSuicide detectionLiterature reviewMedium controlInformation Needs for Opioid Use Disorder Treatment Using Buprenorphine Product: Qualitative Analysis of Suboxone-Focused Reddit Data
Basak M, Sharif O, Lord S, Borodovsky J, Marsch L, Springer S, Nunes E, Brackett C, Archibald L, Preum S. Information Needs for Opioid Use Disorder Treatment Using Buprenorphine Product: Qualitative Analysis of Suboxone-Focused Reddit Data. Journal Of Medical Internet Research 2025, 27: e68886. PMID: 40489766, PMCID: PMC12186000, DOI: 10.2196/68886.Peer-Reviewed Original ResearchConceptsLarge-scale dataPotential rumorsSocial media platformsReddit postsInformation needsOpioid use disorder treatmentOpioid use disorderMedia platformsUse disorderDisorder treatmentRedditSocial mediaHypothesis generationInformationFood and Drug Administration-approved medicationsClinical expertsFrequent topicTreatment informationSubstance useProtecting young women's body image from appearance-based social media exposure: A comparative study of self-compassion writing and mindful breathing interventions
Li E, Cheng W, Yuan H, Gao X. Protecting young women's body image from appearance-based social media exposure: A comparative study of self-compassion writing and mindful breathing interventions. Journal Of Psychosomatic Research 2025, 192: 112121. PMID: 40203687, DOI: 10.1016/j.jpsychores.2025.112121.Peer-Reviewed Original ResearchConceptsSelf-compassion writingState body imageSelf-CompassionSelf-ObjectificationBody imageHigher self-objectificationTrait self-objectificationYoung women's body imageMindfulness-based interventionsPromote body positivityWomen's body imageMedia exposureSocial media exposureSelf-kindnessBody dissatisfactionBody imageryMediation analysisMindful breathingSocial mediaWritingEmotional resilienceEmotional statesEmotional improvementEmotional benefitsPost-interventionPositive and Negative Experiences of Social Media Use in Early Adolescents with Social Anxiety
Juel E, Etkin R, Lebowitz E, Pettit J, Silverman W. Positive and Negative Experiences of Social Media Use in Early Adolescents with Social Anxiety. Child Psychiatry & Human Development 2025, 1-8. PMID: 40053274, DOI: 10.1007/s10578-025-01822-6.Peer-Reviewed Original ResearchSocially anxious adolescentsSocial anxietyAnxious adolescentsCore fearsSelf-report measures of social anxietySocial media experiencesEarly adolescenceMeasures of social anxietyAdolescent social anxietySelf-report measuresMental health concernsAnxietySocial media useAnxiety evaluationAdolescentsClinical understandingNegative experiencesFearMedia experiencesMedia useSocialSocial mediaRegression analysisHealth concernGirl/boyDigital Marketing Claims and Their Association With the Perceptions of Parents of Children Under 2 Years Old of Commercial Milk Formulas in Mexico
Aureoles‐García V, Unar‐Munguía M, Santos‐Guzmán A, Tolentino‐Mayo L, Pérez‐Escamilla R. Digital Marketing Claims and Their Association With the Perceptions of Parents of Children Under 2 Years Old of Commercial Milk Formulas in Mexico. Maternal And Child Nutrition 2025, 21: e70001. PMID: 40023779, PMCID: PMC12150158, DOI: 10.1111/mcn.70001.Peer-Reviewed Original ResearchHealth-relatedParents' perceptionsCommercial milk formulaAdjusted logistic regressionWorld Health Assembly resolutionParents of childrenMilk formulaStudy sampleMarketing claimsLogistic regressionLikert scaleGlobal guidelinesPrevent diseaseHealth claimsDigital mediaOnline surveyPositive perceptionsSocial mediaNutritionHealthAssociationPerceptionParentsEmotional claimsAssembly resolutionImproving topic modeling performance on social media through semantic relationships within biomedical terminology
Xin Y, Grabowska M, Gangireddy S, Krantz M, Kerchberger V, Dickson A, Feng Q, Yin Z, Wei W. Improving topic modeling performance on social media through semantic relationships within biomedical terminology. PLOS ONE 2025, 20: e0318702. PMID: 39982945, PMCID: PMC11845042, DOI: 10.1371/journal.pone.0318702.Peer-Reviewed Original ResearchConceptsSocial media textsTopic modelsSocial mediaHealth-related topicsAnalyze social mediaSemantic relationshipsBiomedical terminologiesMedical conceptsSemantic typesRecord validationModeling pipelineMedia textsUnsupervised machineExpert evaluationHealthcare ResearchModel performanceOnline discussionsTextTopicsPipelineUsersMachineModeling approachModelTechnique's potential
2024
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 modelUnsupervisedVideoClustersCloudPredicting the Performance of Facebook Advertisements About Climate Change Using Self-report Data
Goldberg M, Remshard M, Commerçon F, Ozaksut J, Lee S, Rosenthal S, Leiserowitz A. Predicting the Performance of Facebook Advertisements About Climate Change Using Self-report Data. Environmental Communication 2024, 19: 648-662. DOI: 10.1080/17524032.2024.2441936.Peer-Reviewed Original ResearchTobacco control policies discussed on social media: a scoping review
Dobbs P, Kong G, Lovett K, Henriksen L. Tobacco control policies discussed on social media: a scoping review. Tobacco Control 2024, tc-2024-058824. PMID: 39461851, PMCID: PMC12032063, DOI: 10.1136/tc-2024-058824.Peer-Reviewed Original ResearchTobacco control policiesE-cigarettesTobacco control lawsWHO Framework ConventionRegulate e-cigarettesE-cigarette regulationsWeb of ScienceSmoke-freeStandardised packagingTobacco taxesStudy characteristicsRemoving duplicatesCampus policiesVaping productsControl policiesTobaccoFlavor restrictionsStudy descriptionImplementation practicesFramework ConventionPublished literatureIdentified methodsCINAHLTime pointsSocial mediaThe Top Ten Annals of Surgical Oncology Original Articles on Twitter/X: 2020–2023
Jain A, Schultz K, Brainerd M, Murimwa G, Fleming A, Fackche N, Bilir E, Chiba A, Martin A, Singh P, Childers C, Friedman L, Zafar S, Abdelsattar Z, Cortina C, Stewart C, Cowher M, Ganai S, Merck B, Nandakumar G, Pandalai P, Narayan R, Ahmad S. The Top Ten Annals of Surgical Oncology Original Articles on Twitter/X: 2020–2023. Annals Of Surgical Oncology 2024, 31: 9100-9111. PMID: 39138773, PMCID: PMC11560640, DOI: 10.1245/s10434-024-15936-z.Peer-Reviewed Original Research(258) VASECTOMY ON TIKTOK: AN ANALYSIS OF THE TOP 50 VIDEOS
Cahill E, Reddy S, Rotker K, Honig S. (258) VASECTOMY ON TIKTOK: AN ANALYSIS OF THE TOP 50 VIDEOS. The Journal Of Sexual Medicine 2024, 21: qdae167.251. DOI: 10.1093/jsxmed/qdae167.251.Peer-Reviewed Original ResearchPost-vasectomy semen analysisPhysician usersVideo contentSource of videosVideo informationUser postsSocial mediaVideo lengthUsersVideoAnalyzed videosTikTok usersVideo engagementNon‐physician usersSemen analysisNon-physiciansSurgical proceduresCounseling patientsInformationPermanent sterilizationTikTokVasectomyEffective procedurePatientsTikTok videosExploring the Role of Social Media Content on Sexual Health Behaviors and Decision-Making Among Young Black Females
Dorsey M, Adams V, Howard T, Rutledge J, King D, Craddock J, Jaffery A. Exploring the Role of Social Media Content on Sexual Health Behaviors and Decision-Making Among Young Black Females. Journal Of Adolescent Research 2024 DOI: 10.1177/07435584241268524.Peer-Reviewed Original ResearchNatural Language Processing for Digital Health in the Era of Large Language Models
Sarker A, Zhang R, Wang Y, Xiao Y, Das S, Schutte D, Oniani D, Xie Q, Xu H. Natural Language Processing for Digital Health in the Era of Large Language Models. Yearbook Of Medical Informatics 2024, 33: 229-240. PMID: 40199310, PMCID: PMC12020548, DOI: 10.1055/s-0044-1800750.Peer-Reviewed Original ResearchConceptsElectronic health recordsLanguage modelFew-shot settingTransformer-based modelsNatural language processingTask-oriented evaluationSocial mediaMedical textsNLP tasksMedical domainIEEE ExploreLanguage processingGeneration taskBiomedical literatureHealth recordsSupervised classificationPrivacyTaskAppli-cationTextDigital healthData sourcesExponential growthLanguageEvolving spacesIndustry relationships with interventional radiologists: Who are the high payment physicians?
Lee C, Khunte M, Tegtmeyer K, Futela D, Bajaj S, Payabvash S, Gandhi D, Malhotra A. Industry relationships with interventional radiologists: Who are the high payment physicians? Current Problems In Diagnostic Radiology 2024, 54: 206-209. PMID: 39089981, DOI: 10.1067/j.cpradiol.2024.07.020.Peer-Reviewed Original ResearchLeadership positionsHospital leadership positionsSocial media presenceNational Provider Identifier RegistryConsulting feesIndustry relationshipsMedical device companiesFeesPhysician characteristicsWeb-based searchPayment valueMedia presenceInterventional radiologistsPaymentAssociation leadershipIdentifier RegistryLeadershipGuideline authorsPhysiciansSocial mediaIndustryFaculty appointmentsKardashian IndexDevice companiesClinical practice guideline authorsIdentifying 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. 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 harmAdolescentsLeveraging Instagram to Engage Adolescents With Depression: The Use of Evidence-Based Brief Video Interventions
Amsalem D, Haim-Nachum S, Dixon L, Martin A. Leveraging Instagram to Engage Adolescents With Depression: The Use of Evidence-Based Brief Video Interventions. Journal Of The American Academy Of Child & Adolescent Psychiatry 2024, 63: 953-955. PMID: 38852933, DOI: 10.1016/j.jaac.2024.04.016.Peer-Reviewed Original ResearchConceptsVideo interventionMental health helpMental health awarenessEvidence-based videosHelp-seeking behaviorRisks of social mediaHealth helpSocial mediaHealth awarenessEngaging adolescentsFuture initiativesSupportive environmentWell-beingInstagram campaignLeverage social mediaCrowdsourcing platformsInterventionDigital usersAdolescentsVideoCharacteristics of Adolescents’ and Young Adults’ Exposure to and Engagement with Nicotine and Tobacco Product Content on Social Media
Vogel E, Ranker L, Harrell P, Hart J, Kong G, McIntosh S, Meissner H, Ozga J, Romer D, Stanton C. Characteristics of Adolescents’ and Young Adults’ Exposure to and Engagement with Nicotine and Tobacco Product Content on Social Media. Journal Of Health Communication 2024, 29: 383-393. PMID: 38775659, PMCID: PMC11229177, DOI: 10.1080/10810730.2024.2355291.Peer-Reviewed Original ResearchAdolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers
Lee J, Ouellette R, Morean M, Kong G. Adolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers. Substance Use & Misuse 2024, 59: 1424-1430. PMID: 38755112, PMCID: PMC12040476, DOI: 10.1080/10826084.2024.2352620.Peer-Reviewed Original ResearchSocial media platformsE-cigarettesMedia platformsPast 30-day e-cigarette useE-cigarette use frequencyYoung adultsSocial media useSocial media influencersSocial media platformE-cigarette useFrequent useMedia useMedia influenceMedia platformSocial mediaAssociated with more frequent useTikTokTobacco regulatory policiesYoung adults' useBinomial logistic regressionPromote e-cigarettesUS National SurveyLogistic regressionAYAAdult use
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