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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Smoking Cessation (556)

Published on in Vol 3, No 4 (2017): Oct-Dec

Identifying Sentiment of Hookah-Related Posts on Twitter

Identifying Sentiment of Hookah-Related Posts on Twitter

Identifying Sentiment of Hookah-Related Posts on Twitter

Authors of this article:

Jon-Patrick Allem1 Author Orcid Image ;   Jagannathan Ramanujam2 Author Orcid Image ;   Kristina Lerman3 Author Orcid Image ;   Kar-Hai Chu4 Author Orcid Image ;   Tess Boley Cruz2 Author Orcid Image ;   Jennifer B Unger2 Author Orcid Image
Article Authors Cited by (24) Tweetations (9) Metrics

Journals

  1. Majmundar A, Allem J, Boley Cruz T, Unger J, Xia F. The Why We Retweet scale. PLOS ONE 2018;13(10):e0206076 View
  2. Allem J, Ferrara E, Uppu S, Cruz T, Unger J. E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends. JMIR Public Health and Surveillance 2017;3(4):e98 View
  3. Unger J, Urman R, Cruz T, Majmundar A, Barrington-Trimis J, Pentz M, McConnell R. Talking about tobacco on Twitter is associated with tobacco product use. Preventive Medicine 2018;114:54 View
  4. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  5. Asfar T, Ben Taleb Z, Osibogun O, Ruano-Herreria E, Sierra D, Ward K, Salloum R, Maziak W. How Do Waterpipe Smoking Establishments Attract Smokers? Implications for Policy. Substance Use & Misuse 2019;54(4):560 View
  6. Allem J, Dharmapuri L, Leventhal A, Unger J, Boley Cruz T. Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis. Journal of Medical Internet Research 2018;20(11):e11669 View
  7. Hammond A, Paul M, Hobelmann J, Koratana A, Dredze M, Chisolm M. Perceived Attitudes About Substance Use in Anonymous Social Media Posts Near College Campuses: Observational Study. JMIR Mental Health 2018;5(3):e52 View
  8. Zhang Y, Allem J, Unger J, 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 View
  9. Kruse G, Park E, Shahid N, Abroms L, Haberer J, Rigotti N. Combining Real-Time Ratings With Qualitative Interviews to Develop a Smoking Cessation Text Messaging Program for Primary Care Patients. JMIR mHealth and uHealth 2019;7(3):e11498 View
  10. Ayers J, Dredze M, Leas E, Caputi T, Allem J, Cohen J, Sanchez Z. Next generation media monitoring: Global coverage of electronic nicotine delivery systems (electronic cigarettes) on Bing, Google and Twitter, 2013-2018. PLOS ONE 2018;13(11):e0205822 View
  11. Reuter K, MacLennan A, Le N, Unger J, Kaiser E, Angyan P. A Software Tool Aimed at Automating the Generation, Distribution, and Assessment of Social Media Messages for Health Promotion and Education Research. JMIR Public Health and Surveillance 2019;5(2):e11263 View
  12. Majmundar A, Le N, Moran M, Unger J, Reuter K. Public Response to a Social Media Tobacco Prevention Campaign: Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e20649 View
  13. Stirling E, Willcox J, Ong K, Forsyth A. Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours. Public Health Nutrition 2021;24(6):1193 View
  14. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187 View
  15. 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
  16. Reuter K, Wilson M, Moran M, Le N, Angyan P, Majmundar A, Kaiser E, Unger J. General Audience Engagement With Antismoking Public Health Messages Across Multiple Social Media Sites: Comparative Analysis. JMIR Public Health and Surveillance 2021;7(2):e24429 View
  17. ELGOHARY E, ABD-ELAZIZ M. Data mining framework for analyzing Twitter users' opinion on the drug mefloquine. Gazzetta Medica Italiana Archivio per le Scienze Mediche 2021;180(5) View
  18. Galimov A, Vassey J, Galstyan E, Unger J, Kirkpatrick M, Allem J. Ice Flavor–Related Discussions on Twitter: Content Analysis. Journal of Medical Internet Research 2022;24(11):e41785 View
  19. 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
  20. Adu A, Ismail N, Noor S. How Social Media Makes Shisha Smoking Looks Good? A Systematic Review. Online Journal of Communication and Media Technologies 2022;12(4):e202237 View
  21. Pérez A, Spells C, Bluestein M, Harrell M, Hébert E. The Longitudinal Impact of Seeing and Posting Tobacco-related Social Media on Tobacco Use Behaviors Among Youth (Aged 12-17): Findings From the 2014-2016 Population Assessment of Tobacco and Health (PATH) Study. Tobacco Use Insights 2022;15 View
  22. Zheng Z, Xie Z, Goniewicz M, Rahman I, Li D. Potential Impact of the COVID-19 Pandemic on Public Perception of Water Pipes on Reddit: Observational Study. JMIR Infodemiology 2023;3:e40913 View
  23. Dobbs P, Boykin A, Ezike N, Myers A, Colditz J, Primack B. Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis. JMIR Formative Research 2023;7:e50346 View
  24. Allem J, Rodriguez V, Pattarroyo M, Ramirez C, Beard T, Soto D, Donaldson S, Unger J. Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis. Nicotine and Tobacco Research 2024;26(6):759 View