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Citing this Article

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Published on 20.12.17 in Vol 3, No 4 (2017): Oct-Dec

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

Works citing "E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.8641):

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

  1. Jamison AM, Broniatowski DA, Quinn SC. Malicious Actors on Twitter: A Guide for Public Health Researchers. American Journal of Public Health 2019;109(5):688
    CrossRef
  2. Staal YC, van de Nobelen S, Havermans A, Talhout R. New Tobacco and Tobacco-Related Products: Early Detection of Product Development, Marketing Strategies, and Consumer Interest. JMIR Public Health and Surveillance 2018;4(2):e55
    CrossRef
  3. Basáñez T, Majmundar A, Cruz TB, Unger JB. Vaping associated with healthy food words: A content analysis of Twitter. Addictive Behaviors Reports 2018;8:147
    CrossRef
  4. Kudugunta S, Ferrara E. Deep neural networks for bot detection. Information Sciences 2018;467:312
    CrossRef
  5. Reuter K, MacLennan A, Le N, Unger JB, Kaiser EM, Angyan P. A Matter of Both Quality and Quantity: A Technical Framework for Health Promotion and Intervention Research in the Social Media Era (Preprint). JMIR Public Health and Surveillance 2018;
    CrossRef
  6. Soneji S, Yang J, Moran MB, Tan ASL, Sargent J, Knutzen KE, Choi K. Engagement With Online Tobacco Marketing Among Adolescents in the United States: 2013–2014 to 2014–2015. Nicotine & Tobacco Research 2018;
    CrossRef
  7. 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
  8. Mackey T, Kalyanam J, Klugman J, Kuzmenko E, Gupta R. Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access. Journal of Medical Internet Research 2018;20(4):e10029
    CrossRef
  9. Allem J, Ferrara E. Could Social Bots Pose a Threat to Public Health?. American Journal of Public Health 2018;108(8):1005
    CrossRef
  10. Allem J, Dharmapuri L, Unger JB, Cruz TB. Characterizing JUUL-related posts on Twitter. Drug and Alcohol Dependence 2018;190:1
    CrossRef
  11. Muralidhara S, Paul MJ. #Healthy Selfies: Exploration of Health Topics on Instagram. JMIR Public Health and Surveillance 2018;4(2):e10150
    CrossRef
  12. 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
  13. 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
  14. Yeung D. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94
    CrossRef