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Published on 27.10.15 in Vol 17, No 10 (2015): October

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

Works citing "Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4969):

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

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  6. Rose SW, Jo CL, Binns S, Buenger M, Emery S, Ribisl KM. Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis. Journal of Medical Internet Research 2017;19(2):e56
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  7. 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
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  25. 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
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  26. Astill Wright L, Golder S, Balkham A, McCambridge J. Understanding public opinion to the introduction of Minimum Unit Pricing in Scotland: a qualitative study using Twitter. (Preprint). JMIR Public Health and Surveillance 2018;
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  27. Gibson LA, Siegel L, Kranzler E, Volinsky A, O’Donnell MB, Williams S, Yang Q, Kim Y, Binns S, Tran H, Maidel Epstein V, Leffel T, Jeong M, Liu J, Lee S, Emery S, Hornik RC. Combining Crowd-Sourcing and Automated Content Methods to Improve Estimates of Overall Media Coverage: Theme Mentions in E-cigarette and Other Tobacco Coverage. Journal of Health Communication 2019;24(12):889
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  31. 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
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  32. Li Q, Wang C, Liu R, Wang L, Zeng DD, Leischow SJ. Understanding Users’ Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques. Journal of Medical Internet Research 2018;20(8):e252
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  33. Chu K, Majmundar A, Allem J, Soto DW, Cruz TB, Unger JB. Tobacco Use Behaviors, Attitudes, and Demographic Characteristics of Tobacco Opinion Leaders and Their Followers: Twitter Analysis. Journal of Medical Internet Research 2019;21(6):e12676
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  34. Briganti M, Wackowski OA, Delnevo CD, Brown L, Hastings SE, Singh B, Steinberg MB. Content Analysis of Electronic Nicotine Delivery System Publications in Core Clinical Journals from 2012 to 2018. International Journal of Environmental Research and Public Health 2020;17(7):2201
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  35. Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
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  37. Lee A, Hart J, Sears C, Walker K, Siu A, Smith C. A picture is worth a thousand words: Electronic cigarette content on Instagram and Pinterest. Tobacco Prevention & Cessation 2017;3(July)
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  38. Pearson JL, Amato MS, Wang X, Zhao K, Cha S, Cohn AM, Papandonatos GD, Graham AL. How US Smokers Refer to E-cigarettes: An Examination of User-Generated Posts From a Web-Based Smoking Cessation Intervention, 2008–2015. Nicotine & Tobacco Research 2017;19(2):253
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  39. Young-Wolff KC, Klebaner D, Folck B, Carter-Harris L, Salloum RG, Prochaska JJ, Fogelberg R, Tan AS. Do you vape? Leveraging electronic health records to assess clinician documentation of electronic nicotine delivery system use among adolescents and adults. Preventive Medicine 2017;105:32
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  40. Miller CA, Guidry JPD, Fuemmeler BF. Breast Cancer Voices on Pinterest: Raising Awareness or Just an Inspirational Image?. Health Education & Behavior 2019;46(2_suppl):49S
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  41. 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
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  42. Blank M, Hoek J, George M, Gendall P, Conner TS, Thrul J, Ling PM, Langlotz T. An Exploration of Smoking-to-Vaping Transition Attempts Using a “Smart” Electronic Nicotine Delivery System. Nicotine & Tobacco Research 2019;21(10):1339
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  43. Glasser AM, Collins L, Pearson JL, Abudayyeh H, Niaura RS, Abrams DB, Villanti AC. Overview of Electronic Nicotine Delivery Systems: A Systematic Review. American Journal of Preventive Medicine 2017;52(2):e33
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  44. Maloney SF, Soule EK, Palafox S, McFadden K, Guy MC, Eissenberg T, Fagan P. A longitudinal analysis of electronic cigarette forum participation. Addictive Behaviors 2019;91:75
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  46. Cavazos-Rehg PA, Sowles SJ, Krauss MJ, Agbonavbare V, Grucza R, Bierut L. A content analysis of tweets about high-potency marijuana. Drug and Alcohol Dependence 2016;166:100
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  47. Marcon AR, Klostermann P, Caulfield T. Chiropractic and Spinal Manipulation Therapy on Twitter: Case Study Examining the Presence of Critiques and Debates. JMIR Public Health and Surveillance 2016;2(2):e153
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  48. Tomeny TS, Vargo CJ, El-Toukhy S. Geographic and demographic correlates of autism-related anti-vaccine beliefs on Twitter, 2009-15. Social Science & Medicine 2017;191:168
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  50. Kwon M, Park E. Perceptions and Sentiments About Electronic Cigarettes on Social Media Platforms: Systematic Review. JMIR Public Health and Surveillance 2020;6(1):e13673
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  51. Hébert ET, Vandewater EA, Businelle MS, Harrell MB, Kelder SH, Perry CL. Feasibility and reliability of a mobile tool to evaluate exposure to tobacco product marketing and messages using ecological momentary assessment. Addictive Behaviors 2017;73:105
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  52. Wang X, Yu Y, Lin L. Tweeting the United Nations Climate Change Conference in Paris (COP21): An analysis of a social network and factors determining the network influence. Online Social Networks and Media 2020;15:100059
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  55. Murphy J, Hsieh YP, Wenger M, Kim AE, Chew R. Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure. Information, Communication & Society 2019;22(5):622
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  57. Pearson JL, Amato MS, Papandonatos GD, Zhao K, Erar B, Wang X, Cha S, Cohn AM, Graham AL. Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use. Addictive Behaviors 2018;87:39
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  58. Morphett K, Herron L, Gartner C. Protectors or puritans? Responses to media articles about the health effects of e-cigarettes. Addiction Research & Theory 2020;28(2):95
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  59. Crannell WC, Clark E, Jones C, James TA, Moore J. A pattern-matched Twitter analysis of US cancer-patient sentiments. Journal of Surgical Research 2016;206(2):536
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  60. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  61. McCausland K, Maycock B, Leaver T, Wolf K, Freeman B, Jancey J. E-Cigarette Advocates on Twitter: Content Analysis of Vaping-Related Tweets. JMIR Public Health and Surveillance 2020;6(4):e17543
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  62. Lucas B, Landman T. Social listening, modern slavery, and COVID-19. Journal of Risk Research 2021;24(3-4):314
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  63. Wang D, Lyu JC, Zhao X. Public Opinion About E-Cigarettes on Chinese Social Media: A Combined Study of Text Mining Analysis and Correspondence Analysis. Journal of Medical Internet Research 2020;22(10):e19804
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  64. Kim Y, Emery SL, Vera L, David B, Huang J. At the speed of Juul: measuring the Twitter conversation related to ENDS and Juul across space and time (2017–2018). Tobacco Control 2021;30(2):137
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  65. Aversa J, Jacobson J, Hernandez T, Cleave E, Macdonald M, Dizonno S. The social media response to the rollout of legalized cannabis retail in Ontario, Canada. Journal of Retailing and Consumer Services 2021;61:102580
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  66. Yang B, Barbati JL, Choi Y. Will E-Cigarette Modified Risk Messages with a Nicotine Warning Polarize Smokers’ Beliefs about the Efficacy of Switching Completely to E-Cigarettes in Reducing Smoking-Related Risks?. International Journal of Environmental Research and Public Health 2021;18(11):6094
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  67. Lyu JC, Han EL, Luli GK. COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2021;23(6):e24435
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  69. Haupt MR, Xu Q, Yang J, Cai M, Mackey TK. Characterizing Vaping Industry Political Influence and Mobilization on Facebook: Social Network Analysis. Journal of Medical Internet Research 2021;23(10):e28069
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  70. Lu J, Lee EWJ. Examining Twitter Discourse on Electronic Cigarette and Tobacco Consumption During National Cancer Prevention Month in 2018: Topic Modeling and Geospatial Analysis. Journal of Medical Internet Research 2021;23(12):e28042
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  71. Salim NA, Jubair F, Hassona YM, Izriqi S, Al-Fuqaha’a D, Nuvvula S. Esthetic Dentistry on Twitter: Benefits and Dangers. International Journal of Dentistry 2021;2021:1
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  72. Lu X, Sun L, Xie Z, Li D. Perception of the Food and Drug Administration Electronic Cigarette Flavor Enforcement Policy on Twitter: Observational Study. JMIR Public Health and Surveillance 2022;8(3):e25697
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  73. Lee E, Hoek J, Fenton E, Joshi A, Evans-Reeves K, Robertson L. An Analysis of Arguments Advanced via Twitter in an Advocacy Campaign to Promote Electronic Nicotine Delivery Systems. Nicotine & Tobacco Research 2023;25(3):533
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  75. 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
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  1. Chen X, Hao T. Social Web and Health Research. 2019. Chapter 3:31
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  2. Optican A, Cavazos-Rehg PA. Child and Adolescent Psychiatry and the Media. 2019. :61
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  3. Valdez R, Keim-Malpass J. Social Web and Health Research. 2019. Chapter 13:259
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  4. Xuan Z, Ranker L. Encyclopedia of Child and Adolescent Health. 2023. :211
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