This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349)

Published on in Vol 15, No 8 (2013): August

Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products

Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products

Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products

Authors of this article:

Mark Myslín1 ;   Shu-Hong Zhu2 ;   Wendy Chapman3 ;   Mike Conway3
Article Authors Cited by (234) Tweetations (59) Metrics

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  138. 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 View
  139. Alnazzawi N, Fiorini N. Building a semantically annotated corpus for chronic disease complications using two document types. PLOS ONE 2021;16(3):e0247319 View
  140. 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 View
  141. Lossio-Ventura J, 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 View
  142. Shah A, 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 View
  143. Sivrikaya E, 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 View
  144. Rutherford B, Lim C, Johnson B, Cheng B, Chung J, Huang S, Sun T, Leung J, Stjepanović D, Chan G. #TurntTrending: a systematic review of substance use portrayals on social media platforms. Addiction 2023;118(2):206 View
  145. Xu Q, Yang J, Haupt M, Cai M, Nali M, Mackey T. 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 View
  146. Benson R, Hu M, Chen A, 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 View
  147. El-Amin S, Kinnunen J, 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 View
  148. 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 View
  149. Gao C, Espinoza Suarez N, Toloza F, Malaga Zuniga A, McCarthy S, Boehmer K, Yao L, Fu S, Brito J. Patients’ Perspective About the Cost of Diabetes Management: An Analysis of Online Health Communities. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2021;5(5):898 View
  150. Wu D, Kasson E, Singh A, Ren Y, Kaiser N, Huang M, Cavazos-Rehg P. 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 View
  151. Pilipiec P, Liwicki M, Bota A. Using Machine Learning for Pharmacovigilance: A Systematic Review. Pharmaceutics 2022;14(2):266 View
  152. Lane J, 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 View
  153. 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) View
  154. Chen J, Xue S, Xie Z, Li D. Perceptions and Discussions of Snus on Twitter: Observational Study. JMIR Medical Informatics 2022;10(8):e38174 View
  155. Fu R, Kundu A, Mitsakakis N, Elton-Marshall T, Wang W, Hill S, Bondy S, Hamilton H, Selby P, Schwartz R, Chaiton M. Machine learning applications in tobacco research: a scoping review. Tobacco Control 2023;32(1):99 View
  156. 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 View
  157. 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 View
  158. Jeong H, Bayro A, Umesh S, 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 View
  159. 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 View
  160. 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 View
  161. Baker W, Colditz J, Dobbs P, Mai H, Visweswaran S, Zhan J, Primack B. Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study. JMIR Medical Informatics 2022;10(7):e33678 View
  162. 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 View
  163. dos Santos B, Steiner M, Lima R. Proposal of a method to classify female smokers based on data mining techniques. Computers & Industrial Engineering 2022;170:108363 View
  164. 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 View
  165. Hu M, Benson R, Chen A, 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 View
  166. Haupt M, Xu Q, Yang J, Cai M, Mackey T. Characterizing Vaping Industry Political Influence and Mobilization on Facebook: Social Network Analysis. Journal of Medical Internet Research 2021;23(10):e28069 View
  167. Hébert E, Vandewater E, Businelle M, Harrell M, Kelder S, Perry C. Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach. Addictive Behaviors 2023;139:107601 View
  168. Pilipiec P, Samsten I, Bota A, Rocha L. Surveillance of communicable diseases using social media: A systematic review. PLOS ONE 2023;18(2):e0282101 View
  169. Kim I, Begay C, Ma H, Orozco F, Rogers C, Valente T, Unger J. E-Cigarette–Related Health Beliefs Expressed on Twitter Within the U.S.. AJPM Focus 2023;2(2):100067 View
  170. Berg C, Abroms L, Levine H, Romm K, Khayat A, Wysota C, 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 View
  171. Thakur N. 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 View
  172. 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 View
  173. Groseclose S, Buckeridge D. Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation. Annual Review of Public Health 2017;38(1):57 View
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  175. Kasson E, Singh A, 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 View
  176. 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 View
  177. Salvatore C. Inference with non-probability samples and survey data integration: a science mapping study. METRON 2023;81(1):83 View
  178. 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 View
  179. Elkaim L, Levett J, Niazi F, Alvi M, Shlobin N, Linzey J, Robertson F, Bokhari R, Alotaibi N, Lasry O. Cervical Myelopathy and Social Media: Mixed Methods Analysis. Journal of Medical Internet Research 2023;25:e42097 View
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  181. Kim K. 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 View
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Books/Policy Documents

  1. Khan I, Naqvi S, Alam M, Rizvi S. Big Data Analytics. View
  2. Grover P, Kar A, Dwivedi Y, Janssen M. Digital Nations – Smart Cities, Innovation, and Sustainability. View
  3. Optican A, Cavazos-Rehg P. Child and Adolescent Psychiatry and the Media. View
  4. Bibi S, Hussain S, Ahmed M, Zeb M. New Knowledge in Information Systems and Technologies. View
  5. Godea A, Caragea C, Bulgarov F, Ramisetty-Mikler S. Artificial Intelligence in Medicine. View
  6. Mayer M, Fernández-Luque L, Leis A. Participatory Health Through Social Media. View
  7. Shah G, Alfonso M, Jolani N. Public Health and Welfare. View
  8. Hu H, Phan N, Geller J, Vo H, Manasi B, Huang X, Di Lorio S, Dinh T, Chun S. Computational Data and Social Networks. View
  9. Epure E, Deneckere R, Salinesi C. Artificial Intelligence in Medicine. View
  10. Nguyen A, Pham H, Nguyen D, Tran T. Public Health Intelligence and the Internet. View
  11. Lazar J, Feng J, Hochheiser H. Research Methods in Human Computer Interaction. View
  12. Anwar M, Yuan Z. Smart Health. View
  13. Shah G, Alfonso M, Jolani N. Implications of Social Media Use in Personal and Professional Settings. View
  14. Lombi L. Clinical Handbook of Air Pollution-Related Diseases. View
  15. Amrani G, Khennou F, Chaoui N. Information and Software Technologies. View
  16. Ohki Y, Ikeda Y, Iyetomi H. Big Data Analysis on Global Community Formation and Isolation. View
  17. Yang Q, Rains S. The International Encyclopedia of Health Communication. View