Published on 29.08.13 in Vol 15, No 8 (2013): August
Works citing "Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2534):
(note that this is only a small subset of citations)
-
Kazemi DM, Borsari B, Levine MJ, Dooley B. Systematic review of surveillance by social media platforms for illicit drug use. Journal of Public Health 2017;39(4):763
CrossRef -
Skinner AL, Attwood AS, Baddeley R, Evans-Reeves K, Bauld L, Munafò MR. Digital phenotyping and the development and delivery of health guidelines and behaviour change interventions. Addiction 2017;112(7):1281
CrossRef -
. Pro-smoking information scanning using social media predicts young adults' smoking behavior. Computers in Human Behavior 2017;77:19
CrossRef -
Hswen Y, Naslund JA, Chandrashekar P, Siegel R, Brownstein JS, Hawkins JB. Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Research 2017;257:479
CrossRef -
Steers MN, Moreno MA, Neighbors C. The Influence of Social Media on Addictive Behaviors in College Students. Current Addiction Reports 2016;3(4):343
CrossRef -
Conway M, O’Connor D. Social media, big data, and mental health: current advances and ethical implications. Current Opinion in Psychology 2016;9:77
CrossRef -
Cole-Lewis H, Pugatch J, Sanders A, Varghese A, Posada S, Yun C, Schwarz M, Augustson E. Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter. Journal of Medical Internet Research 2015;17(10):e243
CrossRef -
Huang J, Kornfield R, Szczypka G, Emery SL. A cross-sectional examination of marketing of electronic cigarettes on Twitter. Tobacco Control 2014;23(suppl 3):iii26
CrossRef -
Zhu S, Gamst A, Lee M, Cummins S, Yin L, Zoref L, Blum A. The Use and Perception of Electronic Cigarettes and Snus among the U.S. Population. PLoS ONE 2013;8(10):e79332
CrossRef -
Majmundar A, Cornelis E, Moran MB. Examining the vulnerability of ambivalent young adults to e-cigarette messages. Health Marketing Quarterly 2020;37(1):73
CrossRef -
Glasser AM, Collins L, Pearson JL, Abudayyeh H, Niaura RS, Abrams DB, Villanti AC. Overview of Electronic Nicotine Delivery Systems: A Systematic Review. American Journal of Preventive Medicine 2017;52(2):e33
CrossRef -
Burke-Garcia A, Stanton CA. A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions. Informatics in Medicine Unlocked 2017;8:8
CrossRef -
Thackeray R, Neiger BL, Burton SH, Thackeray CR. Analysis of the Purpose of State Health Departments' Tweets: Information Sharing, Engagement, and Action. Journal of Medical Internet Research 2013;15(11):e255
CrossRef -
Zhang L, Fan H, Peng C, Rao G, Cong Q. Sentiment Analysis Methods for HPV Vaccines Related Tweets Based on Transfer Learning. Healthcare 2020;8(3):307
CrossRef -
Lienemann BA, Unger JB, Cruz TB, Chu K. Methods for Coding Tobacco-Related Twitter Data: A Systematic Review. Journal of Medical Internet Research 2017;19(3):e91
CrossRef -
Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
CrossRef -
Mowery D, Smith H, Cheney T, Stoddard G, Coppersmith G, Bryan C, Conway M. Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study. Journal of Medical Internet Research 2017;19(2):e48
CrossRef -
Cavazos-Rehg PA, Krauss MJ, Sowles SJ, Bierut LJ. Marijuana-Related Posts on Instagram. Prevention Science 2016;17(6):710
CrossRef -
Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
CrossRef -
Ashford RD, Curtis BL. Commentary on Cohn and Colleagues: Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality (ACER, 2019). Alcoholism: Clinical and Experimental Research 2019;43(3):401
CrossRef -
Colditz JB, Welling J, Smith NA, James AE, Primack BA. World Vaping Day: Contextualizing Vaping Culture in Online Social Media Using a Mixed Methods Approach. Journal of Mixed Methods Research 2019;13(2):196
CrossRef -
Hart KL, Perlis RH, McCoy TH. What do patients learn about psychotropic medications on the web? A natural language processing study. Journal of Affective Disorders 2020;260:366
CrossRef -
Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A. “When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health and Surveillance 2016;2(2):e162
CrossRef -
Chan B, Lopez A, Sarkar U, Hildt E. The Canary in the Coal Mine Tweets: Social Media Reveals Public Perceptions of Non-Medical Use of Opioids. PLOS ONE 2015;10(8):e0135072
CrossRef -
Kendra RL, Karki S, Eickholt JL, Gandy L. Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?. Journal of Medical Internet Research 2015;17(6):e154
CrossRef -
Allem J, Dharmapuri L, Leventhal AM, Unger JB, Boley Cruz T. Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis. Journal of Medical Internet Research 2018;20(11):e11669
CrossRef -
Mullins CF, ffrench-O'Carroll R, Lane J, O'Connor T. Sharing the pain: an observational analysis of Twitter and pain in Ireland. Regional Anesthesia & Pain Medicine 2020;45(8):597
CrossRef -
Nascimento TD, DosSantos MF, Danciu T, DeBoer M, van Holsbeeck H, Lucas SR, Aiello C, Khatib L, Bender MA, Zubieta J, DaSilva AF. Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2014;16(4):e96
CrossRef -
Visweswaran S, Colditz JB, O’Halloran P, Han N, Taneja SB, Welling J, Chu K, Sidani JE, Primack BA. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Journal of Medical Internet Research 2020;22(8):e17478
CrossRef -
Rose SW, Jo CL, Binns S, Buenger M, Emery S, Ribisl KM. Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis. Journal of Medical Internet Research 2017;19(2):e56
CrossRef -
Doan S, Ritchart A, Perry N, Chaparro JD, Conway M. How Do You #relax When You’re #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets. JMIR Public Health and Surveillance 2017;3(2):e35
CrossRef -
Sabus C, Johns B, Schultz N, Gagnon K. Exploration of Content and Reach of Physical Therapy-Related Discussion on Twitter. Physical Therapy 2019;99(8):1048
CrossRef -
Cortese DK, Szczypka G, Emery S, Wang S, Hair E, Vallone D. Smoking Selfies: Using Instagram to Explore Young Women’s Smoking Behaviors. Social Media + Society 2018;4(3):205630511879076
CrossRef -
Kim MG, Kim J, Kim SC, Jeong J. Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study. Journal of Medical Internet Research 2020;22(2):e16466
CrossRef -
Chu K, Colditz J, Malik M, Yates T, Primack B. Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking. Journal of Medical Internet Research 2019;21(7):e12443
CrossRef -
Allem J, Chu K, Cruz TB, Unger JB. Waterpipe Promotion and Use on Instagram: #Hookah. Nicotine & Tobacco Research 2017;:ntw329
CrossRef -
Park A, Conway M, Chen AT. Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach. Computers in Human Behavior 2018;78:98
CrossRef -
Kamiński M, Muth A, Bogdański P. Smoking, Vaping, and Tobacco Industry During COVID-19 Pandemic: Twitter Data Analysis. Cyberpsychology, Behavior, and Social Networking 2020;23(12):811
CrossRef -
Little RJA, West BT, Boonstra PS, Hu J. Measures of the Degree of Departure from Ignorable Sample Selection. Journal of Survey Statistics and Methodology 2020;8(5):932
CrossRef -
Kelley DE, Brown M, Murray A, Blake KD. Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis. JMIR Public Health and Surveillance 2019;5(4):e12878
CrossRef -
Chu K, Colditz J, Sidani J, Zimmer M, Primack B. Re-evaluating standards of human subjects protection for sensitive health data in social media networks. Social Networks 2021;67:41
CrossRef -
Lazard AJ, Saffer AJ, Wilcox GB, Chung AD, Mackert MS, Bernhardt JM. E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter. JMIR Public Health and Surveillance 2016;2(2):e171
CrossRef -
Gohil S, Vuik S, Darzi A. Sentiment Analysis of Health Care Tweets: Review of the Methods Used. JMIR Public Health and Surveillance 2018;4(2):e43
CrossRef -
Akl EA, Ward KD, Bteddini D, Khaliel R, Alexander AC, Lotfi T, Alaouie H, Afifi RA. The allure of the waterpipe: a narrative review of factors affecting the epidemic rise in waterpipe smoking among young persons globally. Tobacco Control 2015;24(Suppl 1):i13
CrossRef -
Chen AT, Zhu S, Conway M. What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques. Journal of Medical Internet Research 2015;17(9):e220
CrossRef -
Nguyen QC, Li D, Meng H, Kath S, Nsoesie E, Li F, Wen M. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity. JMIR Public Health and Surveillance 2016;2(2):e158
CrossRef -
. Twitter and Health Science Research. Western Journal of Nursing Research 2015;37(10):1269
CrossRef -
Nguyen QC, McCullough M, Meng H, Paul D, Li D, Kath S, Loomis G, Nsoesie EO, Wen M, Smith KR, Li F. Geotagged US Tweets as Predictors of County-Level Health Outcomes, 2015–2016. American Journal of Public Health 2017;107(11):1776
CrossRef -
Nguyen J, Gilbert L, Priede L, Heckman C. The Reach of the “Don’t Fry Day” Twitter Campaign: Content Analysis. JMIR Dermatology 2019;2(1):e14137
CrossRef -
Kim Y, Huang J, Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. Journal of Medical Internet Research 2016;18(2):e41
CrossRef -
Petersen CL, Halter R, Kotz D, Loeb L, Cook S, Pidgeon D, Christensen BC, Batsis JA. Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study. JMIR mHealth and uHealth 2020;8(8):e16862
CrossRef -
Mikal J, Hurst S, Conway M. Ethical issues in using Twitter for population-level depression monitoring: a qualitative study. BMC Medical Ethics 2016;17(1)
CrossRef -
Doan S, Yang EW, Tilak SS, Li PW, Zisook DS, Torii M. Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics and Decision Making 2019;19(S3)
CrossRef -
Krauss MJ, Sowles SJ, Moreno M, Zewdie K, Grucza RA, Bierut LJ, Cavazos-Rehg PA. Hookah-Related Twitter Chatter: A Content Analysis. Preventing Chronic Disease 2015;12
CrossRef -
Ahmed S, Jaidka K, Cho J. The 2014 Indian elections on Twitter: A comparison of campaign strategies of political parties. Telematics and Informatics 2016;33(4):1071
CrossRef -
Allem J, Ramanujam J, Lerman K, Chu K, Boley Cruz T, Unger JB. Identifying Sentiment of Hookah-Related Posts on Twitter. JMIR Public Health and Surveillance 2017;3(4):e74
CrossRef -
Escobedo P, Cruz TB, Tsai K, Allem J, Soto DW, Kirkpatrick MG, Pattarroyo M, Unger JB. Monitoring Tobacco Brand Websites to Understand Marketing Strategies Aimed at Tobacco Product Users and Potential Users. Nicotine & Tobacco Research 2018;20(11):1393
CrossRef -
Alotaibi S, Mehmood R, Katib I, Rana O, Albeshri A. Sehaa: A Big Data Analytics Tool for Healthcare Symptoms and Diseases Detection Using Twitter, Apache Spark, and Machine Learning. Applied Sciences 2020;10(4):1398
CrossRef -
Benson R, Hu M, Chen AT, Nag S, Zhu S, Conway M. Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data. JMIR Public Health and Surveillance 2020;6(3):e19975
CrossRef -
Shutler L, Nelson LS, Portelli I, Blachford C, Perrone J. Drug Use in the Twittersphere: A Qualitative Contextual Analysis of Tweets About Prescription Drugs. Journal of Addictive Diseases 2015;34(4):303
CrossRef -
. A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign. Journal of Health Communication 2016;21(5):517
CrossRef -
Alghamdi A, Abumelha K, Allarakia J, Al-Shehri A. Conversations and Misconceptions About Chemotherapy in Arabic Tweets: Content Analysis. Journal of Medical Internet Research 2020;22(7):e13979
CrossRef -
Kim K, Gibson LA, Williams S, Kim Y, Binns S, Emery SL, Hornik RC. Valence of Media Coverage About Electronic Cigarettes and Other Tobacco Products From 2014 to 2017: Evidence From Automated Content Analysis. Nicotine & Tobacco Research 2020;22(10):1891
CrossRef -
Cawkwell PB, Lee L, Weitzman M, Sherman SE. Tracking Hookah Bars in New York: Utilizing Yelp as a Powerful Public Health Tool. JMIR Public Health and Surveillance 2015;1(2):e19
CrossRef -
Foufi V, Timakum T, Gaudet-Blavignac C, Lovis C, Song M. Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations. Journal of Medical Internet Research 2019;21(6):e12876
CrossRef -
Fogel J, Travis Y. Twitter use related to reality television characters: Association with increased marijuana use. Journal of Organizational Computing and Electronic Commerce 2017;27(2):152
CrossRef -
Haddad L, El-Shahawy O, Ghadban R, Barnett T, Johnson E. Waterpipe Smoking and Regulation in the United States: A Comprehensive Review of the Literature. International Journal of Environmental Research and Public Health 2015;12(6):6115
CrossRef -
. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
CrossRef -
Cole-Lewis H, Varghese A, Sanders A, Schwarz M, Pugatch J, Augustson E. Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning. Journal of Medical Internet Research 2015;17(8):e208
CrossRef -
. Behavioral insights on big data: using social media for predicting biomedical outcomes. Trends in Microbiology 2014;22(11):601
CrossRef -
Gibson LA, Siegel L, Kranzler E, Volinsky A, O’Donnell MB, Williams S, Yang Q, Kim Y, Binns S, Tran H, Maidel Epstein V, Leffel T, Jeong M, Liu J, Lee S, Emery S, Hornik RC. Combining Crowd-Sourcing and Automated Content Methods to Improve Estimates of Overall Media Coverage: Theme Mentions in E-cigarette and Other Tobacco Coverage. Journal of Health Communication 2019;24(12):889
CrossRef -
. Ethical Issues in Using Twitter for Public Health Surveillance and Research: Developing a Taxonomy of Ethical Concepts From the Research Literature. Journal of Medical Internet Research 2014;16(12):e290
CrossRef -
Fogel J, Shlivko A. Reality Television Programs Are Associated With Illegal Drug Use and Prescription Drug Misuse Among College Students. Substance Use & Misuse 2016;51(1):62
CrossRef -
Kolliakou A, Ball M, Derczynski L, Chandran D, Gkotsis G, Deluca P, Jackson R, Shetty H, Stewart R. Novel psychoactive substances: An investigation of temporal trends in social media and electronic health records. European Psychiatry 2016;38:15
CrossRef -
Nguyen Q, Meng H, Li D, Kath S, McCullough M, Paul D, Kanokvimankul P, Nguyen T, Li F. Social media indicators of the food environment and state health outcomes. Public Health 2017;148:120
CrossRef -
McCoy TH, Castro VM, Cagan A, Roberson AM, Kohane IS, Perlis RH, Ramagopalan SV. Sentiment Measured in Hospital Discharge Notes Is Associated with Readmission and Mortality Risk: An Electronic Health Record Study. PLOS ONE 2015;10(8):e0136341
CrossRef -
Allem J, Dharmapuri L, Unger JB, Cruz TB. Characterizing JUUL-related posts on Twitter. Drug and Alcohol Dependence 2018;190:1
CrossRef -
Kim AE, Hopper T, Simpson S, Nonnemaker J, Lieberman AJ, Hansen H, Guillory J, Porter L. Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study. Journal of Medical Internet Research 2015;17(11):e251
CrossRef -
Tofighi B, Aphinyanaphongs Y, Marini C, Ghassemlou S, Nayebvali P, Metzger I, Raghunath A, Thomas S. Detecting illicit opioid content on Twitter. Drug and Alcohol Review 2020;39(3):205
CrossRef -
Waudby-Smith IER, Tran N, Dubin JA, Lee J, van Bogaert P. Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients. PLOS ONE 2018;13(6):e0198687
CrossRef -
. Analysing Twitter as an Opportunity to Understand Substance Use. SSRN Electronic Journal 2015;
CrossRef -
Haynes E, Garside R, Green J, Kelly MP, Thomas J, Guell C. Semiautomated text analytics for qualitative data synthesis. Research Synthesis Methods 2019;10(3):452
CrossRef -
Hu H, Phan N, Chun SA, Geller J, Vo H, Ye X, Jin R, Ding K, Kenne D, Dou D. An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning. Computational Social Networks 2019;6(1)
CrossRef -
Alvaro N, Conway M, Doan S, Lofi C, Overington J, Collier N. Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use. Journal of Biomedical Informatics 2015;58:280
CrossRef -
dos Santos BS, Steiner MTA, Fenerich AT, Lima RHP. Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Computers & Industrial Engineering 2019;138:106120
CrossRef -
Kim Y, Kim JH. Using photos for public health communication: A computational analysis of the Centers for Disease Control and Prevention Instagram photos and public responses. Health Informatics Journal 2020;26(3):2159
CrossRef -
Gerds AT, Chan T. Social Media in Hematology in 2017: Dystopia, Utopia, or Somewhere In-between?. Current Hematologic Malignancy Reports 2017;12(6):582
CrossRef -
Payne JD, Orellana-Barrios M, Medrano-Juarez R, Buscemi D, Nugent K. Electronic Cigarettes in the Media. Baylor University Medical Center Proceedings 2016;29(3):280
CrossRef -
Kandadai V, Yang H, Jiang L, Yang CC, Fleisher L, Winston FK. Measuring Health Information Dissemination and Identifying Target Interest Communities on Twitter: Methods Development and Case Study of the @SafetyMD Network. JMIR Research Protocols 2016;5(2):e50
CrossRef -
Hamad EO, Savundranayagam MY, Holmes JD, Kinsella EA, Johnson AM. Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds. Journal of Medical Internet Research 2016;18(3):e60
CrossRef -
Ayers JW, Leas EC, Allem J, Benton A, Dredze M, Althouse BM, Cruz TB, Unger JB, Olson DR. Why do people use electronic nicotine delivery systems (electronic cigarettes)? A content analysis of Twitter, 2012-2015. PLOS ONE 2017;12(3):e0170702
CrossRef -
Chu K, Allem J, Cruz TB, Unger JB. Vaping on Instagram: cloud chasing, hand checks and product placement. Tobacco Control 2017;26(5):575
CrossRef -
. "Can I Profit from My Own Name and Likeness as a College Athlete?": The Predictive Legal Analytics of a College Player's Publicity Rights vs. First Amendment Rights of Others. Indiana Law Review 2015;48(2):369
CrossRef -
Buente W, Dalisay F, Pokhrel P, Kramer HK, Pagano I. An Instagram-Based Study to Understand Betel Nut Use Culture in Micronesia: Exploratory Content Analysis. Journal of Medical Internet Research 2020;22(7):e13954
CrossRef -
Primack BA, Carroll MV, Shensa A, Davis W, Levine MD. Sex Differences in Hookah-Related Images Posted on Tumblr: A Content Analysis. Journal of Health Communication 2016;21(3):366
CrossRef -
R. Scott K, Nelson L, Meisel Z, Perrone J. Opportunities for Exploring and Reducing Prescription Drug Abuse Through Social Media. Journal of Addictive Diseases 2015;34(2-3):178
CrossRef -
Pechmann C, Delucchi K, Lakon CM, Prochaska JJ. Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention. Tobacco Control 2017;26(2):188
CrossRef -
Cavazos-Rehg PA, Krauss M, Fisher SL, Salyer P, Grucza RA, Bierut LJ. Twitter Chatter About Marijuana. Journal of Adolescent Health 2015;56(2):139
CrossRef -
Meng H, Kath S, Li D, Nguyen QC, Giraud-Carrier C. National substance use patterns on Twitter. PLOS ONE 2017;12(11):e0187691
CrossRef -
Conway M, Khojoyan A, Fana F, Scuba W, Castine M, Mowery D, Chapman W, Jupp S. Developing a web-based SKOS editor. Journal of Biomedical Semantics 2016;7(1)
CrossRef -
Allem J, Ferrara E, Uppu SP, Cruz TB, Unger JB. E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends. JMIR Public Health and Surveillance 2017;3(4):e98
CrossRef -
Martinez LS, Hughes S, Walsh-Buhi ER, Tsou M. “Okay, We Get It. You Vape”: An Analysis of Geocoded Content, Context, and Sentiment regarding E-Cigarettes on Twitter. Journal of Health Communication 2018;23(6):550
CrossRef -
Toloza FJK, Espinoza Suarez NR, El Kawkgi O, Golembiewski EH, Ponce OJ, Yao L, Maraka S, Singh Ospina NM, Brito JP. Patient Experiences and Perceptions Associated with the Use of Desiccated Thyroid Extract. Medicina 2020;56(4):161
CrossRef -
Cavazos-Rehg P, Krauss M, Grucza R, Bierut L. Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle. Journal of Medical Internet Research 2014;16(6):e157
CrossRef -
Lazard AJ, Wilcox GB, Tuttle HM, Glowacki EM, Pikowski J. Public reactions to e-cigarette regulations on Twitter: a text mining analysis. Tobacco Control 2017;26(e2):e112
CrossRef -
Pechmann C, Pan L, Delucchi K, Lakon CM, Prochaska JJ. Development of a Twitter-Based Intervention for Smoking Cessation that Encourages High-Quality Social Media Interactions via Automessages. Journal of Medical Internet Research 2015;17(2):e50
CrossRef -
Dijkstra S, Kok G, Ledford JG, Sandalova E, Stevelink R. Possibilities and Pitfalls of Social Media for Translational Medicine. Frontiers in Medicine 2018;5
CrossRef -
Dwyer R, Fraser S. Addicting via Hashtags. Contemporary Drug Problems 2016;43(1):79
CrossRef -
Hébert ET, Case KR, Kelder SH, Delk J, Perry CL, Harrell MB. Exposure and Engagement With Tobacco- and E-Cigarette–Related Social Media. Journal of Adolescent Health 2017;61(3):371
CrossRef -
Li J, Li X, Zhu B. User opinion classification in social media: A global consistency maximization approach. Information & Management 2016;53(8):987
CrossRef -
Salloum RG, Asfar T, Maziak W. Toward a Regulatory Framework for the Waterpipe. American Journal of Public Health 2016;106(10):1773
CrossRef -
Grzeça M, Becker K, Galante R. Drink2Vec: Improving the classification of alcohol-related tweets using distributional semantics and external contextual enrichment. Information Processing & Management 2020;57(6):102369
CrossRef -
Kavuluru R, Sabbir A. Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter. Journal of Biomedical Informatics 2016;61:19
CrossRef -
Curtis B, Giorgi S, Buffone AEK, Ungar LH, Ashford RD, Hemmons J, Summers D, Hamilton C, Schwartz HA, Emmert-Streib F. Can Twitter be used to predict county excessive alcohol consumption rates?. PLOS ONE 2018;13(4):e0194290
CrossRef -
. Agricultural Research Using Social Media Data. Agronomy Journal 2018;110(1):349
CrossRef -
Katsuki T, Mackey TK, Cuomo R. Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data. Journal of Medical Internet Research 2015;17(12):e280
CrossRef -
Nielsen RC, Luengo-Oroz M, Mello MB, Paz J, Pantin C, Erkkola T. Social Media Monitoring of Discrimination and HIV Testing in Brazil, 2014–2015. AIDS and Behavior 2017;21(S1):114
CrossRef -
Zhang Y, Allem J, Unger JB, Boley Cruz T. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification. Journal of Medical Internet Research 2018;20(11):e10513
CrossRef -
Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
CrossRef -
Jordan S, Hovet S, Fung I, Liang H, Fu K, Tse Z. Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response. Data 2018;4(1):6
CrossRef -
Zhang N, Campo S, Janz KF, Eckler P, Yang J, Snetselaar LG, Signorini A. Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study. Journal of Medical Internet Research 2013;15(11):e261
CrossRef -
Jiang K, Feng S, Song Q, Calix RA, Gupta M, Bernard GR. Identifying tweets of personal health experience through word embedding and LSTM neural network. BMC Bioinformatics 2018;19(S8)
CrossRef -
Aramburu MJ, Berlanga R, Lanza I. Social Media Multidimensional Analysis for Intelligent Health Surveillance. International Journal of Environmental Research and Public Health 2020;17(7):2289
CrossRef -
Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187
CrossRef -
Young-Wolff KC, Klebaner D, Folck B, Carter-Harris L, Salloum RG, Prochaska JJ, Fogelberg R, Tan AS. Do you vape? Leveraging electronic health records to assess clinician documentation of electronic nicotine delivery system use among adolescents and adults. Preventive Medicine 2017;105:32
CrossRef -
Massey PM, Leader A, Yom-Tov E, Budenz A, Fisher K, Klassen AC. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter. Journal of Medical Internet Research 2016;18(12):e318
CrossRef -
Gurajala S, Dhaniyala S, Matthews JN. Understanding Public Response to Air Quality Using Tweet Analysis. Social Media + Society 2019;5(3):205630511986765
CrossRef -
Pearson JL, Amato MS, Papandonatos GD, Zhao K, Erar B, Wang X, Cha S, Cohn AM, Graham AL. Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use. Addictive Behaviors 2018;87:39
CrossRef -
Cavazos-Rehg PA, Sowles SJ, Krauss MJ, Agbonavbare V, Grucza R, Bierut L. A content analysis of tweets about high-potency marijuana. Drug and Alcohol Dependence 2016;166:100
CrossRef -
van der Tempel J, Noormohamed A, Schwartz R, Norman C, Malas M, Zawertailo L. Vape, quit, tweet? Electronic cigarettes and smoking cessation on Twitter. International Journal of Public Health 2016;61(2):249
CrossRef -
Wang S, Paul MJ, Dredze M. Social Media as a Sensor of Air Quality and Public Response in China. Journal of Medical Internet Research 2015;17(3):e22
CrossRef -
Al-garadi MA, Varathan KD, Ravana SD. Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network. Computers in Human Behavior 2016;63:433
CrossRef -
KÜÇÜK D, ARICI N, KÜÇÜK EE. Sosyal medyada otomatik halk sağlığı takibi: Güncel bir derleme. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 2021;
CrossRef -
Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660
CrossRef -
Sim J, Miller P, Swarup S. Tweeting the High Line Life: A Social Media Lens on Urban Green Spaces. Sustainability 2020;12(21):8895
CrossRef -
Mehta N, Zhu L, Lam K, Stall NM, Savage R, Read SH, Wu W, Pop P, Faulkner C, Bronskill SE, Rochon PA. Health Forums and Twitter for Dementia Research: Opportunities and Considerations. Journal of the American Geriatrics Society 2020;68(12):2881
CrossRef -
Mendhe CH, Henderson N, Srivastava G, Mago V. A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time. IEEE Transactions on Computational Social Systems 2021;8(1):260
CrossRef -
Netzel L, Heldt S, Denecke M. Analyzing Twitter communication about heavy precipitation events to improve future risk communication and disaster reduction in Germany. Urban Water Journal 2021;18(5):310
CrossRef -
Alnazzawi N, Fiorini N. Building a semantically annotated corpus for chronic disease complications using two document types. PLOS ONE 2021;16(3):e0247319
CrossRef -
Oyebode O, Lomotey R, Orji R. “I Tried to Breastfeed but…”: Exploring Factors Influencing Breastfeeding Behaviours Based on Tweets Using Machine Learning and Thematic Analysis. IEEE Access 2021;9:61074
CrossRef -
Lossio-Ventura JA, Gonzales S, Morzan J, Alatrista-Salas H, Hernandez-Boussard T, Bian J. Evaluation of clustering and topic modeling methods over health-related tweets and emails. Artificial Intelligence in Medicine 2021;117:102096
CrossRef -
Shah AM, Yan X, Qayyum A. Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status. Healthcare Informatics Research 2021;27(2):116
CrossRef -
Sivrikaya EC, Yilmaz O, Sivrikaya P. Dentist–patient communication on dental anxiety using the social media: A randomized controlled trial. Scandinavian Journal of Psychology 2021;62(6):780
CrossRef -
Rutherford BN, Lim CCW, Johnson B, Cheng B, Chung J, Huang S, Sun T, Leung J, Stjepanović D, Chan GCK. #TurntTrending: a systematic review of substance use portrayals on social media platforms. Addiction 2023;118(2):206
CrossRef -
Xu Q, Yang J, Haupt MR, Cai M, Nali MC, Mackey TK. Digital Surveillance to Identify California Alternative and Emerging Tobacco Industry Policy Influence and Mobilization on Facebook. International Journal of Environmental Research and Public Health 2021;18(21):11150
CrossRef -
Benson R, Hu M, Chen AT, Zhu S, Conway M. Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing. Frontiers in Public Health 2022;9
CrossRef -
El-Amin S, Kinnunen JM, Rimpelä A. Adolescents’ Perceptions of Harmfulness of Tobacco and Tobacco-like Products in Finland. International Journal of Environmental Research and Public Health 2022;19(3):1485
CrossRef -
Hassan L, Elkaref M, de Mel G, Bogdanovica I, Nenadic G. Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA. Healthcare Analytics 2022;2:100066
CrossRef -
Gao CC, Espinoza Suarez NR, Toloza FJ, Malaga Zuniga AS, McCarthy SR, Boehmer KR, Yao L, Fu S, Brito JP. Patients’ Perspective About the Cost of Diabetes Management: An Analysis of Online Health Communities. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2021;5(5):898
CrossRef -
Wu D, Kasson E, Singh AK, Ren Y, Kaiser N, Huang M, Cavazos-Rehg PA. Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study. Journal of Medical Internet Research 2022;24(12):e39460
CrossRef -
Pilipiec P, Liwicki M, Bota A. Using Machine Learning for Pharmacovigilance: A Systematic Review. Pharmaceutics 2022;14(2):266
CrossRef -
Lane JM, Habib D, Curtis B. Linguistic Methodologies to Surveil the Leading Causes of Mortality: Scoping Review of Twitter for Public Health Data. Journal of Medical Internet Research 2023;25:e39484
CrossRef -
Mittal R, Mittal A, Aggarwal I. Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak. Social Network Analysis and Mining 2021;11(1)
CrossRef -
Chen J, Xue S, Xie Z, Li D. Perceptions and Discussions of Snus on Twitter: Observational Study. JMIR Medical Informatics 2022;10(8):e38174
CrossRef -
Fu R, Kundu A, Mitsakakis N, Elton-Marshall T, Wang W, Hill S, Bondy SJ, Hamilton H, Selby P, Schwartz R, Chaiton MO. Machine learning applications in tobacco research: a scoping review. Tobacco Control 2023;32(1):99
CrossRef -
Roemmich K, Andalibi N. Data Subjects' Conceptualizations of and Attitudes Toward Automatic Emotion Recognition-Enabled Wellbeing Interventions on Social Media. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1
CrossRef -
Ren Y, Wu D, Singh A, Kasson E, Huang M, Cavazos-Rehg P. Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification. Frontiers in Big Data 2022;5
CrossRef -
Jeong H, Bayro A, Umesh SP, Mamgain K, Lee M. Social Media Users’ Perceptions of a Wearable Mixed Reality Headset During the COVID-19 Pandemic: Aspect-Based Sentiment Analysis. JMIR Serious Games 2022;10(3):e36850
CrossRef -
Cui J, Wang Z, Ho S, Cambria E. Survey on sentiment analysis: evolution of research methods and topics. Artificial Intelligence Review 2023;56(8):8469
CrossRef -
DURMUŞOĞLU Z, KOCABEY ÇİFTÇİ P. Socio-demographic determinants of smoking: A data mining analysis of the Global Adult Tobacco Surveys. Türkiye Halk Sağlığı Dergisi 2021;
CrossRef -
Baker W, Colditz JB, Dobbs PD, Mai H, Visweswaran S, Zhan J, Primack BA. Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study. JMIR Medical Informatics 2022;10(7):e33678
CrossRef -
Wang Y, Wang G, Li H, Gong L, Wu Z. Mapping and analyzing the construction noise pollution in China using social media platforms. Environmental Impact Assessment Review 2022;97:106863
CrossRef -
dos Santos BS, Steiner MTA, Lima RHP. Proposal of a method to classify female smokers based on data mining techniques. Computers & Industrial Engineering 2022;170:108363
CrossRef -
Zhou R, Tang Q, Xie Z, Li D. Public Perceptions of the Food and Drug Administration’s Proposed Rules Prohibiting Menthol Cigarettes on Twitter: Observational Study. JMIR Formative Research 2023;7:e42706
CrossRef -
Hu M, Benson R, Chen AT, Zhu S, Conway M. Determining the prevalence of cannabis, tobacco, and vaping device mentions in online communities using natural language processing. Drug and Alcohol Dependence 2021;228:109016
CrossRef -
Haupt MR, Xu Q, Yang J, Cai M, Mackey TK. Characterizing Vaping Industry Political Influence and Mobilization on Facebook: Social Network Analysis. Journal of Medical Internet Research 2021;23(10):e28069
CrossRef -
Hébert ET, Vandewater EA, Businelle MS, Harrell MB, Kelder SH, Perry CL. Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach. Addictive Behaviors 2023;139:107601
CrossRef -
Pilipiec P, Samsten I, Bota A, Rocha LM. Surveillance of communicable diseases using social media: A systematic review. PLOS ONE 2023;18(2):e0282101
CrossRef -
Kim I, Begay C, Ma HJ, Orozco FR, Rogers CJ, Valente TW, Unger JB. E-Cigarette–Related Health Beliefs Expressed on Twitter Within the U.S.. AJPM Focus 2023;2(2):100067
CrossRef -
Berg CJ, Abroms LC, Levine H, Romm KF, Khayat A, Wysota CN, Duan Z, Bar-Zeev Y. IQOS Marketing in the US: The Need to Study the Impact of FDA Modified Exposure Authorization, Marketing Distribution Channels, and Potential Targeting of Consumers. International Journal of Environmental Research and Public Health 2021;18(19):10551
CrossRef -
. Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions. Analytics 2022;1(2):72
CrossRef -
Stekelenburg N, Horsham C, O’Hara M, Janda M. Using Social Media to Determine the Affective and Cognitive Components of Tweets about Sunburn. Dermatology 2020;236(2):75
CrossRef -
Groseclose SL, Buckeridge DL. Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation. Annual Review of Public Health 2017;38(1):57
CrossRef -
Russell AM, Colditz JB, Barry AE, Davis RE, Shields S, Ortega JM, Primack B. Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: “Can Someone Tell Me Why Nicotine is So Fire When You’re Drunk?”. Nicotine & Tobacco Research 2022;24(8):1193
CrossRef -
Kasson E, Singh AK, Huang M, Wu D, Cavazos-Rehg P. Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak. International Journal of Medical Informatics 2021;155:104574
CrossRef -
Malakar K, Majumder P, Lu C. Twitterati on COVID-19 pandemic-environment linkage: Insights from mining one year of tweets. Environmental Development 2023;46:100835
CrossRef -
. Inference with non-probability samples and survey data integration: a science mapping study. METRON 2023;81(1):83
CrossRef -
Mankala S, Durai A, Padiyar A, Gkountouna O, Mahabir R. Understanding public discourse surrounding the impact of bitcoin on the environment in social media. GeoJournal 2023;88(4):4243
CrossRef -
Elkaim LM, Levett JJ, Niazi F, Alvi MA, Shlobin NA, Linzey JR, Robertson F, Bokhari R, Alotaibi NM, Lasry O. Cervical Myelopathy and Social Media: Mixed Methods Analysis. Journal of Medical Internet Research 2023;25:e42097
CrossRef -
Buckley TJ, Egeghy PP, Isaacs K, Richard AM, Ring C, Sayre RR, Sobus JR, Thomas RS, Ulrich EM, Wambaugh JF, Williams AJ. Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency. Environment International 2023;178:108097
CrossRef -
. Scanned information exposure and support for tobacco regulations among US youth and young adult tobacco product users and non-users. Health Education Research 2023;38(5):426
CrossRef -
Walker AL, LoParco C, Rossheim ME, Livingston MD. #Delta8: a retailer-driven increase in Delta-8 THC discussions on Twitter from 2020 to 2021. The American Journal of Drug and Alcohol Abuse 2023;49(4):491
CrossRef -
Yang G, King SG, Lin H, Goldstein RZ. Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts. Journal of Medical Internet Research 2023;25:e45267
CrossRef -
Thakur N, Duggal YN, Liu Z. Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets. Computers 2023;12(10):191
CrossRef -
Rhee JU, Huang Y, Soroosh AJ, Alsudais S, Ni S, Kumar A, Paredes J, Li C, Timberlake DS. The Marketing and Perceptions of Non-Tobacco Blunt Wraps on Twitter. Substance Use & Misuse 2024;59(4):469
CrossRef -
Brassel S, Brunner M, Campbell A, Power E, Togher L. Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis. Journal of Medical Internet Research 2024;26:e45168
CrossRef -
Elmitwalli S, Mehegan J, Wellock G, Gallagher A, Gilmore A, Vellucci P. Topic prediction for tobacco control based on COP9 tweets using machine learning techniques. PLOS ONE 2024;19(2):e0298298
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2534):
-
Khan I, Naqvi SK, Alam M, Rizvi SNA. Big Data Analytics. 2018. Chapter 29:297
CrossRef -
Grover P, Kar AK, Dwivedi YK, Janssen M. Digital Nations – Smart Cities, Innovation, and Sustainability. 2017. Chapter 30:339
CrossRef -
Optican A, Cavazos-Rehg PA. Child and Adolescent Psychiatry and the Media. 2019. :61
CrossRef -
Bibi S, Hussain S, Ahmed M, Zeb MS. New Knowledge in Information Systems and Technologies. 2019. Chapter 49:500
CrossRef -
Godea AK, Caragea C, Bulgarov FA, Ramisetty-Mikler S. Artificial Intelligence in Medicine. 2015. Chapter 27:205
CrossRef -
Mayer M, Fernández-Luque L, Leis A. Participatory Health Through Social Media. 2016. :67
CrossRef -
Shah GH, Alfonso ML, Jolani N. Public Health and Welfare. 2017. chapter 21:437
CrossRef -
Hu H, Phan N, Geller J, Vo H, Manasi B, Huang X, Di Lorio S, Dinh T, Chun SA. Computational Data and Social Networks. 2018. Chapter 28:330
CrossRef -
Epure EV, Deneckere R, Salinesi C. Artificial Intelligence in Medicine. 2017. Chapter 19:182
CrossRef -
Nguyen A, Pham H, Nguyen D, Tran T. Public Health Intelligence and the Internet. 2017. Chapter 7:107
CrossRef -
Lazar J, Feng JH, Hochheiser H. Research Methods in Human Computer Interaction. 2017. :411
CrossRef -
Anwar M, Yuan Z. Smart Health. 2016. Chapter 24:254
CrossRef -
Shah GH, Alfonso ML, Jolani N. Implications of Social Media Use in Personal and Professional Settings. 2015. chapter 2:25
CrossRef -
. Clinical Handbook of Air Pollution-Related Diseases. 2018. Chapter 33:621
CrossRef -
Amrani G, Khennou F, Chaoui NEH. Information and Software Technologies. 2020. Chapter 21:255
CrossRef -
Ohki Y, Ikeda Y, Iyetomi H. Big Data Analysis on Global Community Formation and Isolation. 2021. Chapter 13:435
CrossRef -
Yang Q, Rains SA. The International Encyclopedia of Health Communication. 2022. :1
CrossRef