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

Infodemiology and Infoveillance (1349) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Peer-to-Peer Support and Online Communities (636) Smoking Cessation (556) Prevention and Health Promotion (986)

Published on in Vol 17, No 9 (2015): September

What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques

What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques

What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques

Authors of this article:

Annie T Chen1 Author Orcid Image ;   Shu-Hong Zhu2 Author Orcid Image ;   Mike Conway2 Author Orcid Image
Article Authors Cited by (51) Tweetations (9) Metrics

Journals

  1. Chen C, Zhuang Y, Zhu S. E-Cigarette Design Preference and Smoking Cessation. American Journal of Preventive Medicine 2016;51(3):356 View
  2. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1 View
  3. Myneni S, Cobb N, Cohen T. In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community. Journal of Medical Internet Research 2016;18(2):e28 View
  4. Kwon M, Park E. Perceptions and Sentiments About Electronic Cigarettes on Social Media Platforms: Systematic Review. JMIR Public Health and Surveillance 2020;6(1):e13673 View
  5. Glasser A, Collins L, Pearson J, Abudayyeh H, Niaura R, Abrams D, Villanti A. Overview of Electronic Nicotine Delivery Systems: A Systematic Review. American Journal of Preventive Medicine 2017;52(2):e33 View
  6. Sharpe J, Hopkins R, Cook R, Striley C. Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis. JMIR Public Health and Surveillance 2016;2(2):e161 View
  7. De Silva D, Ranasinghe W, Bandaragoda T, Adikari A, Mills N, Iddamalgoda L, Alahakoon D, Lawrentschuk N, Persad R, Osipov E, Gray R, Bolton D, Fiorini N. Machine learning to support social media empowered patients in cancer care and cancer treatment decisions. PLOS ONE 2018;13(10):e0205855 View
  8. Amith M, Cohen T, Cunningham R, Savas L, Smith N, Cuccaro P, Gabay E, Boom J, Schvaneveldt R, Tao C. Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks. Cancer Control 2020;27(1) View
  9. Meacham M, Paul M, Ramo D. Understanding emerging forms of cannabis use through an online cannabis community: An analysis of relative post volume and subjective highness ratings. Drug and Alcohol Dependence 2018;188:364 View
  10. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
  11. Nath C, Huh J, Adupa A, Jonnalagadda S. Website Sharing in Online Health Communities: A Descriptive Analysis. Journal of Medical Internet Research 2016;18(1):e11 View
  12. Huang M, Zolnoori M, Balls-Berry J, Brockman T, Patten C, Yao L. Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017. Journal of Medical Internet Research 2019;21(4):e13316 View
  13. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  14. Robertson L, Hoek J, Blank M, Richards R, Ling P, Popova L, McMillan L. A qualitative exploration of information-seeking by electronic nicotine delivery systems (ENDS) users in New Zealand. BMJ Open 2018;8(10):e023375 View
  15. Meacham M, Roh S, Chang J, Ramo D. Frequently asked questions about dabbing concentrates in online cannabis community discussion forums. International Journal of Drug Policy 2019;74:11 View
  16. Cheung Y, Chan C, Ho K, Fok W, Conway M, Wong C, Li W, Wang M, Lam T. Effectiveness of WhatsApp online group discussion for smoking relapse prevention: protocol for a pragmatic randomized controlled trial. Addiction 2020;115(9):1777 View
  17. Johnston E, Campbell K, Coleman T, Lewis S, Orton S, Cooper S. Safety of Electronic Cigarette Use During Breastfeeding: Qualitative Study Using Online Forum Discussions. Journal of Medical Internet Research 2019;21(8):e11506 View
  18. Chen A, Swaminathan A, Kearns W, Alberts N, Law E, Palermo T. Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain. Journal of Medical Internet Research 2019;21(4):e11756 View
  19. Allem J, Majmundar A, Dharmapuri L, Unger J, Cruz T. Insights on electronic cigarette products from reviews on the Reddit forum. Tobacco Prevention & Cessation 2019;5(September) View
  20. Record R, Silberman W, Santiago J, Ham T. I Sought It, I Reddit: Examining Health Information Engagement Behaviors among Reddit Users. Journal of Health Communication 2018;23(5):470 View
  21. Nguyen T, Venkatesh S, Phung D. Academia versus social media: A psycho-linguistic analysis. Journal of Computational Science 2018;25:228 View
  22. Zhan Y, Liu R, Li Q, Leischow S, Zeng D. Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms. Journal of Medical Internet Research 2017;19(1):e24 View
  23. 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 View
  24. Westmaas J, McDonald B, Portier K. Topic Modeling of Smoking- and Cessation-Related Posts to the American Cancer Society’s Cancer Survivor Network (CSN): Implications for Cessation Treatment for Cancer Survivors Who Smoke. Nicotine & Tobacco Research 2017;19(8):952 View
  25. Lee H, Lee H, Kim Y, Kim S, Lee Y. Network Support Using Social Networking Services to Increase Exercise Adherence Among Korean-Chinese Middle-Aged Migrant Women: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(11):e19159 View
  26. Tangherlini T, Roychowdhury V, Glenn B, Crespi C, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166 View
  27. Alberts N, Law E, Chen A, Ritterband L, Palermo T. Treatment engagement in an internet-delivered cognitive behavioral program for pediatric chronic pain. Internet Interventions 2018;13:67 View
  28. Maloney S, Soule E, Palafox S, McFadden K, Guy M, Eissenberg T, Fagan P. A longitudinal analysis of electronic cigarette forum participation. Addictive Behaviors 2019;91:75 View
  29. McCausland K, Maycock B, Leaver T, Wolf K, Freeman B, Thomson K, Jancey J. E-Cigarette Promotion on Twitter in Australia: Content Analysis of Tweets. JMIR Public Health and Surveillance 2020;6(4):e15577 View
  30. 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 View
  31. Zakkar M, Lizotte D. Analyzing Patient Stories on Social Media Using Text Analytics. Journal of Healthcare Informatics Research 2021;5(4):382 View
  32. Hallam K. Moving on from trials and errors: a discussion on the use of a forum as an online focus group in qualitative research. International Journal of Social Research Methodology 2022;25(4):429 View
  33. Silberman W, Record R. We Post It, U Reddit: Exploring the Potential of Reddit for Health Interventions Targeting College Populations. Journal of Health Communication 2021:1 View
  34. Struik L, Yang Y. e-Cigarette Cessation: Content Analysis of a Quit Vaping Community on Reddit. Journal of Medical Internet Research 2021;23(10):e28303 View
  35. Chen A, Johnny S, Conway M. Examining stigma relating to substance use and contextual factors in social media discussions. Drug and Alcohol Dependence Reports 2022;3:100061 View
  36. Hagg L, Merkouris S, O’Dea G, Francis L, Greenwood C, Fuller-Tyszkiewicz M, Westrupp E, Macdonald J, Youssef G. Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review. Journal of Medical Internet Research 2022;24(11):e33166 View
  37. 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
  38. Lu J, Lee E. Examining Twitter Discourse on Electronic Cigarette and Tobacco Consumption During National Cancer Prevention Month in 2018: Topic Modeling and Geospatial Analysis. Journal of Medical Internet Research 2021;23(12):e28042 View
  39. Westrupp E, Greenwood C, Fuller-Tyszkiewicz M, Berkowitz T, Hagg L, Youssef G, Mahmoud A. Text mining of Reddit posts: Using latent Dirichlet allocation to identify common parenting issues. PLOS ONE 2022;17(2):e0262529 View
  40. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941 View
  41. 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
  42. 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
  43. Priya C, Deepalakshmi P. Sentiment analysis from unstructured hotel reviews data in social network using deep learning techniques. International Journal of Information Technology 2023;15(7):3563 View
  44. Chi Y, Chen H. Investigating Substance Use via Reddit: Systematic Scoping Review. Journal of Medical Internet Research 2023;25:e48905 View
  45. Kramer T, Groh G, Stüben N, Soyka M, Mitra S. Analysis of addiction craving onset through natural language processing of the online forum Reddit. PLOS ONE 2024;19(5):e0301682 View
  46. Almeida A, Patton T, Conway M, Gupta A, Strathdee S, Bórquez A. The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review. JMIR Infodemiology 2024;4:e51156 View

Books/Policy Documents

  1. Nguyen T, Borland R, Yearwood J, Yong H, Venkatesh S, Phung D. Web Information Systems Engineering – WISE 2016. View
  2. de Alencar Almeida R, Carvalho D. Computational Neuroscience. View
  3. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. View