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Citing this Article

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Published on 18.10.17 in Vol 3, No 4 (2017): Oct-Dec

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

Works citing "Identifying Sentiment of Hookah-Related Posts on Twitter"

Jon-Patrick Allem, Jagannathan Ramanujam, Kristina Lerman, Kar-Hai Chu, Tess Boley Cruz, Jennifer B Unger

JMIR Public Health Surveill 2017 (Oct 18); 3(4):e74 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.8133):

(note that this is only a small subset of citations)

  1. Majmundar A, Allem J, Boley Cruz T, Unger JB, Xia F. The Why We Retweet scale. PLOS ONE 2018;13(10):e0206076
    CrossRef
  2. 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
  3. Unger JB, Urman R, Cruz TB, Majmundar A, Barrington-Trimis J, Pentz MA, McConnell R. Talking about tobacco on Twitter is associated with tobacco product use. Preventive Medicine 2018;114:54
    CrossRef
  4. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  5. Asfar T, Ben Taleb Z, Osibogun O, Ruano-Herreria EC, Sierra D, Ward KD, Salloum RG, Maziak W. How Do Waterpipe Smoking Establishments Attract Smokers? Implications for Policy. Substance Use & Misuse 2019;54(4):560
    CrossRef
  6. 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
  7. Hammond AS, Paul MJ, Hobelmann J, Koratana AR, Dredze M, Chisolm MS. Perceived Attitudes About Substance Use in Anonymous Social Media Posts Near College Campuses: Observational Study. JMIR Mental Health 2018;5(3):e52
    CrossRef
  8. 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
  9. Kruse G, Park ER, Shahid NN, Abroms L, Haberer JE, Rigotti NA. 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
    CrossRef
  10. Ayers JW, Dredze M, Leas EC, Caputi TL, Allem J, Cohen JE, Sanchez ZM. 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
    CrossRef
  11. Reuter K, MacLennan A, Le N, Unger JB, Kaiser EM, 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
    CrossRef
  12. Majmundar A, Le N, Moran MB, Unger JB, Reuter K. Public Response to a Social Media Tobacco Prevention Campaign: Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e20649
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  16. Reuter K, Wilson ML, Moran M, Le N, Angyan P, Majmundar A, Kaiser EM, Unger JB. General Audience Engagement With Antismoking Public Health Messages Across Multiple Social Media Sites: Comparative Analysis. JMIR Public Health and Surveillance 2021;7(2):e24429
    CrossRef
  17. ELGOHARY EM, ABD-ELAZIZ MM. Data mining framework for analyzing Twitter users' opinion on the drug mefloquine. Gazzetta Medica Italiana Archivio per le Scienze Mediche 2021;180(5)
    CrossRef
  18. Galimov A, Vassey J, Galstyan E, Unger JB, Kirkpatrick MG, Allem J. Ice Flavor–Related Discussions on Twitter: Content Analysis. Journal of Medical Internet Research 2022;24(11):e41785
    CrossRef
  19. 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
  20. Adu AO, Ismail N, Noor SM. How Social Media Makes Shisha Smoking Looks Good? A Systematic Review. Online Journal of Communication and Media Technologies 2022;12(4):e202237
    CrossRef
  21. Pérez A, Spells CE, Bluestein MA, Harrell MB, Hébert ET. 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;15:1179173X2210875
    CrossRef
  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
    CrossRef
  23. Dobbs PD, Boykin AA, Ezike N, Myers AJ, Colditz JB, Primack BA. Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis. JMIR Formative Research 2023;7:e50346
    CrossRef
  24. Allem J, Rodriguez V, Pattarroyo M, Ramirez CM, Beard TA, Soto D, Donaldson SI, Unger JB. Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis. Nicotine and Tobacco Research 2023;
    CrossRef