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Citing this Article

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Published on 09.08.16 in Vol 18, No 8 (2016): August

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

Works citing "The Importance of Debiasing Social Media Data to Better Understand E-Cigarette-Related Attitudes and Behaviors"

Jon-Patrick Allem, Emilio Ferrara

J Med Internet Res 2016 (Aug 09); 18(8):e219 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6185):

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

  1. Reuter K, Angyan P, Le N, MacLennan A, Cole S, Bluthenthal RN, Lane CJ, El-Khoueiry AB, Buchanan TA. Monitoring Twitter Conversations for Targeted Recruitment in Cancer Trials in Los Angeles County: Protocol for a Mixed-Methods Pilot Study. JMIR Research Protocols 2018;7(9):e177
    CrossRef
  2. 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
    CrossRef
  3. Stens O, Weisman MH, Simard J, Reuter K. Insights From Twitter Conversations on Lupus and Reproductive Health: Protocol for a Content Analysis. JMIR Research Protocols 2020;9(8):e15623
    CrossRef
  4. Allem J, Majmundar A, Dharmapuri L, Cruz TB, Unger JB. E-liquid-related posts to Twitter in 2018: Thematic analysis. Addictive Behaviors Reports 2019;10:100196
    CrossRef
  5. Pozzana I, Ferrara E. Measuring Bot and Human Behavioral Dynamics. Frontiers in Physics 2020;8
    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. Allem J, Dharmapuri L, Unger JB, Cruz TB. Characterizing JUUL-related posts on Twitter. Drug and Alcohol Dependence 2018;190:1
    CrossRef
  8. Kim Y, Huang J, Emery S. The Research Topic Defines “Noise” in Social Media Data – a Response from the Authors. Journal of Medical Internet Research 2017;19(6):e165
    CrossRef
  9. Ahmed W, Vidal-Alaball J, Downing J, López Seguí F. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data. Journal of Medical Internet Research 2020;22(5):e19458
    CrossRef
  10. Hatchard JL, Quariguasi Frota Neto J, Vasilakis C, Evans-Reeves KA, Fu K. Tweeting about public health policy: Social media response to the UK Government’s announcement of a Parliamentary vote on draft standardised packaging regulations. PLOS ONE 2019;14(2):e0211758
    CrossRef
  11. 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
  12. Yang K, Varol O, Davis CA, Ferrara E, Flammini A, Menczer F. Arming the public with artificial intelligence to counter social bots. Human Behavior and Emerging Technologies 2019;1(1):48
    CrossRef
  13. Bunyan A, Venuturupalli S, Reuter K. Expressed Symptoms and Attitudes Toward Using Twitter for Health Care Engagement Among Patients With Lupus on Social Media: Protocol for a Mixed Methods Study. JMIR Research Protocols 2021;10(5):e15716
    CrossRef
  14. Unger JB, Rogers C, Barrington-Trimis J, Majmundar A, Sussman S, Allem J, Soto DW, Cruz TB. “I’m using cigarettes to quit JUUL”: An analysis of Twitter posts about JUUL cessation. Addictive Behaviors Reports 2020;12:100286
    CrossRef
  15. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  16. 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
  17. Lienemann BA, Unger JB, Cruz TB, Chu K. Methods for Coding Tobacco-Related Twitter Data: A Systematic Review. Journal of Medical Internet Research 2017;19(3):e91
    CrossRef
  18. Chu K, Allem J, Unger JB, Cruz TB, Akbarpour M, Kirkpatrick MG. Strategies to find audience segments on Twitter for e-cigarette education campaigns. Addictive Behaviors 2019;91:222
    CrossRef
  19. Lazard AJ, Saffer AJ, Wilcox GB, Chung AD, Mackert MS, Bernhardt JM. E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter. JMIR Public Health and Surveillance 2016;2(2):e171
    CrossRef
  20. Kudugunta S, Ferrara E. Deep neural networks for bot detection. Information Sciences 2018;467:312
    CrossRef
  21. Budhwani H, Sun R. Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data. Journal of Medical Internet Research 2020;22(5):e19301
    CrossRef
  22. Aramburu MJ, Berlanga R, Lanza I. Social Media Multidimensional Analysis for Intelligent Health Surveillance. International Journal of Environmental Research and Public Health 2020;17(7):2289
    CrossRef
  23. Chu K, Colditz J, Malik M, Yates T, Primack B. Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking. Journal of Medical Internet Research 2019;21(7):e12443
    CrossRef
  24. Allem J, Uppu SP, Boley Cruz T, Unger JB. Characterizing Swisher Little Cigar–Related Posts on Twitter in 2018: Text Analysis. Journal of Medical Internet Research 2019;21(7):e14398
    CrossRef
  25. Allem J, Ramanujam J, Lerman K, Chu K, Boley Cruz T, Unger JB. Identifying Sentiment of Hookah-Related Posts on Twitter. JMIR Public Health and Surveillance 2017;3(4):e74
    CrossRef
  26. Majmundar A, Allem J, Cruz TB, Unger JB. Where Do People Vape? Insights from Twitter Data. International Journal of Environmental Research and Public Health 2019;16(17):3056
    CrossRef
  27. 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
    CrossRef
  28. 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
  29. He L, Yin T, Hu Z, Chen Y, Hanauer DA, Zheng K. Developing a standardized protocol for computational sentiment analysis research using health-related social media data. Journal of the American Medical Informatics Association 2021;28(6):1125
    CrossRef
  30. Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media. Rheumatology 2021;60(SI):SI77
    CrossRef
  31. Reuter K, Lee D. Perspectives Toward Seeking Treatment Among Patients With Psoriasis: Protocol for a Twitter Content Analysis. JMIR Research Protocols 2021;10(2):e13731
    CrossRef
  32. Allem J, Dormanesh A, Majmundar A, Unger JB, Kirkpatrick MG, 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
    CrossRef
  33. Majmundar A, Allem J, Cruz TB, Unger JB, Pentz MA. Twitter Surveillance at the Intersection of the Triangulum. Nicotine & Tobacco Research 2022;24(1):118
    CrossRef
  34. Cai M, Luo H, Meng X, Cui Y, Wang W. Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media. Information Processing & Management 2023;60(2):103197
    CrossRef
  35. Allem J, Majmundar A, Dormanesh A, Donaldson SI. Identifying Health-Related Discussions of Cannabis Use on Twitter by Using a Medical Dictionary: Content Analysis of Tweets. JMIR Formative Research 2022;6(2):e35027
    CrossRef
  36. Khaund T, Kirdemir B, Agarwal N, Liu H, Morstatter F. Social Bots and Their Coordination During Online Campaigns: A Survey. IEEE Transactions on Computational Social Systems 2022;9(2):530
    CrossRef
  37. Donaldson SI, Dormanesh A, Majmundar A, Pérez C, Lopez H, Saghian M, Beard TA, Unger JB, Allem J. Examining the Peer-Reviewed Literature on Tobacco-Related Social Media Data: Scoping Review. Nicotine and Tobacco Research 2024;26(4):413
    CrossRef
  38. Wenjia Y, Yitian W, Xinyu L, Jinyue G, Yiyuan N. Comparing the video information about the HPV vaccine: a content analysis between Bilibili and YouTube. Health & New Media Research 2020;4(2):169
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6185):

  1. Raspopovic Milic M, Vukmirovic M, Cvetanovic S. Handbook of Research on Urban-Rural Synergy Development Through Housing, Landscape, and Tourism. 2020. chapter 7:139
    CrossRef
  2. . Complex Spreading Phenomena in Social Systems. 2018. Chapter 13:229
    CrossRef
  3. Mondal S, Rehena Z. Internet of Things Based Smart Healthcare. 2022. Chapter 14:307
    CrossRef
  4. Martinez LS, Tsou M, Spitzberg BH. Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. 2021. Chapter 11:203
    CrossRef