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

Infodemiology and Infoveillance (1365) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Smoking Cessation (561) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049)

Published on in Vol 20, No 11 (2018): November

Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis

Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis

Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis

Authors of this article:

Jon-Patrick Allem1 Author Orcid Image ;   Likhit Dharmapuri2 Author Orcid Image ;   Adam M Leventhal1 Author Orcid Image ;   Jennifer B Unger1 Author Orcid Image ;   Tess Boley Cruz1 Author Orcid Image
Article Authors Cited by (24) Tweetations (5) Metrics

Journals

  1. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  2. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  3. Allem J, Uppu S, Boley Cruz T, Unger J. Characterizing Swisher Little Cigar–Related Posts on Twitter in 2018: Text Analysis. Journal of Medical Internet Research 2019;21(7):e14398 View
  4. Allem J, Majmundar A, Dharmapuri L, Cruz T, Unger J. E-liquid-related posts to Twitter in 2018: Thematic analysis. Addictive Behaviors Reports 2019;10:100196 View
  5. Allem J, Escobedo P, Dharmapuri L. Cannabis Surveillance With Twitter Data: Emerging Topics and Social Bots. American Journal of Public Health 2020;110(3):357 View
  6. Kienhuis A, Talhout R. Options for waterpipe product regulation: A systematic review on product characteristics that affect attractiveness, addictiveness and toxicity of waterpipe use. Tobacco Induced Diseases 2020;18(August) View
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  9. 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
  10. Allem J, Dormanesh A, Majmundar A, Unger J, Kirkpatrick M, Choube A, Aithal A, Ferrara E, Boley Cruz T. Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study. Journal of Medical Internet Research 2021;23(6):e25579 View
  11. Majmundar A, Allem J, Cruz T, Unger J, Pentz M. Twitter Surveillance at the Intersection of the Triangulum. Nicotine & Tobacco Research 2022;24(1):118 View
  12. Allem J, Dormanesh A, Majmundar A, Rivera V, Chu M, Unger J, Cruz T. Leading Topics in Twitter Discourse on JUUL and Puff Bar Products: Content Analysis. Journal of Medical Internet Research 2021;23(7):e26510 View
  13. Russell A, Colditz J, Barry A, Davis R, Shields S, Ortega J, 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 View
  14. 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
  15. 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
  16. Nimma V, Lingam A, Gaffar A, Kadam S, Ramaswami E, Ramchandani A. Perception and Assumptions of Young Waterpipe Smokers in Mumbai, India. Annals of African Medicine 2022;21(4):410 View
  17. Azagba S, Shan L. Exposure to tobacco and e-cigarette advertisements by sexual identity status among high school students. Addictive Behaviors 2022;125:107165 View
  18. Chan L, Harris-Roxas B, Freeman B, MacKenzie R, Woodland L, O'Hara B. Attitudes towards the ‘Shisha No Thanks’ campaign video: Content analysis of Facebook comments. Tobacco Induced Diseases 2022;20(October):1 View
  19. Russell A, Valdez D, Chiang S, Montemayor B, Barry A, Lin H, Massey P. Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2022;24(11):e40160 View
  20. 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
  21. Wu D, Shead H, Ren Y, Raynor P, Tao Y, Villanueva H, Hung P, Li X, Brookshire R, Eichelberger K, Guille C, Litwin A, Olatosi B. Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e53171 View
  22. Bold K, Kong G, O'Malley S. The Scientific Basis for the Regulation of Flavors in Tobacco Products. Annual Review of Clinical Psychology 2024;20(1):381 View
  23. Kostygina G, Feng M, Czaplicki L, Tran H, Tulsiani S, Perks S, Emery S, Schillo B. Exploring the Discursive Function of Hashtags: A Semantic Network Analysis of JUUL-Related Instagram Messages. Social Media + Society 2021;7(4) View
  24. Han E, Biyani M, Hrywna M, Donaldson S, Allem J. Identifying Topics Around Nicotine Gum: A Machine Learning Approach with Twitter Data. Substance Use & Misuse 2024:1 View