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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Smoking Cessation (556) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infoveillance and Social Listening (209)

Published on in Vol 17, No 11 (2015): November

Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study

Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study

Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study

Authors of this article:

Annice E Kim1 Author Orcid Image ;   Timothy Hopper2 Author Orcid Image ;   Sean Simpson1 Author Orcid Image ;   James Nonnemaker1 Author Orcid Image ;   Alicea J Lieberman3 Author Orcid Image ;   Heather Hansen1 Author Orcid Image ;   Jamie Guillory1 Author Orcid Image ;   Lauren Porter4 Author Orcid Image
Article Authors Cited by (67) Tweetations (25) Metrics

Journals

  1. Lazard A, Saffer A, Wilcox G, Chung A, Mackert M, Bernhardt J. 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 View
  2. Curtis B, Giorgi S, Buffone A, Ungar L, Ashford R, Hemmons J, Summers D, Hamilton C, Schwartz H, Emmert-Streib F. Can Twitter be used to predict county excessive alcohol consumption rates?. PLOS ONE 2018;13(4):e0194290 View
  3. Pepper J, Lee Y, Watson K, Kim A, Nonnemaker J, Farrelly M. Risk Factors for Youth E-Cigarette “Vape Trick” Behavior. Journal of Adolescent Health 2017;61(5):599 View
  4. Kim A, Miano T, Chew R, Eggers M, Nonnemaker J. Classification of Twitter Users Who Tweet About E-Cigarettes. JMIR Public Health and Surveillance 2017;3(3):e63 View
  5. McCausland K, Maycock B, Leaver T, Jancey J. The Messages Presented in Electronic Cigarette–Related Social Media Promotions and Discussion: Scoping Review. Journal of Medical Internet Research 2019;21(2):e11953 View
  6. Guillory J, Kim A, Fiacco L, Cress M, Pepper J, Nonnemaker J. An Experimental Study of Nicotine Warning Statements in E-cigarette Tweets. Nicotine & Tobacco Research 2020;22(5):814 View
  7. Lienemann B, Unger J, Cruz T, Chu K. Methods for Coding Tobacco-Related Twitter Data: A Systematic Review. Journal of Medical Internet Research 2017;19(3):e91 View
  8. Li Q, Wang C, Liu R, Wang L, Zeng D, Leischow S. Understanding Users’ Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques. Journal of Medical Internet Research 2018;20(8):e252 View
  9. Maloney S, Soule E, Palafox S, McFadden K, Guy M, Eissenberg T, Fagan P. A longitudinal analysis of electronic cigarette forum participation. Addictive Behaviors 2019;91:75 View
  10. Soneji S, Yang J, Moran M, Tan A, Sargent J, Knutzen K, Choi K. Engagement With Online Tobacco Marketing Among Adolescents in the United States: 2013–2014 to 2014–2015. Nicotine & Tobacco Research 2019;21(7):918 View
  11. Kim Y, Huang J, Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. Journal of Medical Internet Research 2016;18(2):e41 View
  12. Hatchard J, Quariguasi Frota Neto J, Vasilakis C, Evans-Reeves K, 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 View
  13. Zhan Y, Etter J, Leischow S, Zeng D. Electronic cigarette usage patterns: a case study combining survey and social media data. Journal of the American Medical Informatics Association 2019;26(1):9 View
  14. Zhan Y, Liu R, Li Q, Leischow S, Zeng D. Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms. Journal of Medical Internet Research 2017;19(1):e24 View
  15. Johnston E, Campbell K, Coleman T, Lewis S, Orton S, Cooper S. Safety of Electronic Cigarette Use During Breastfeeding: Qualitative Study Using Online Forum Discussions. Journal of Medical Internet Research 2019;21(8):e11506 View
  16. Kostygina G, Tran H, Shi Y, Kim Y, Emery S. ‘Sweeter Than a Swisher’: amount and themes of little cigar and cigarillo content on Twitter. Tobacco Control 2016;25(Suppl 1):i75 View
  17. Lazard A, Wilcox G, Tuttle H, Glowacki E, Pikowski J. Public reactions to e-cigarette regulations on Twitter: a text mining analysis. Tobacco Control 2017;26(e2):e112 View
  18. Kong G, Krishnan-Sarin S. A call to end the epidemic of adolescent E-cigarette use. Drug and Alcohol Dependence 2017;174:215 View
  19. Keller M, Mosadeghi S, Cohen E, Kwan J, Spiegel B. Reproductive Health and Medication Concerns for Patients With Inflammatory Bowel Disease: Thematic and Quantitative Analysis Using Social Listening. Journal of Medical Internet Research 2018;20(6):e206 View
  20. Morgan-Lopez A, Kim A, Chew R, Ruddle P, Costello K. Predicting age groups of Twitter users based on language and metadata features. PLOS ONE 2017;12(8):e0183537 View
  21. Jankowski M, Lawson J, Shpakou A, Poznański M, Zielonka T, Klimatckaia L, Loginovich Y, Rachel M, Gereová J, Minarowski Ł, Naumau I, Kornicki K, Pepłowska P, Kovalevskiy V, Raskiliene A, Bielewicz K, Krištúfková Z, Mróz R, Majek P, Skoczyński S, Zejda J, Brożek G. Smoking Cessation and Vaping Cessation Attempts among Cigarette Smokers and E-Cigarette Users in Central and Eastern Europe. International Journal of Environmental Research and Public Health 2019;17(1):28 View
  22. Crocamo C, Viviani M, Bartoli F, Carrà G, Pasi G. Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter’s Users: An Exploratory Content- and Topology-Based Analysis. International Journal of Environmental Research and Public Health 2020;17(5):1510 View
  23. Chu K, Allem J, Cruz T, Unger J. Vaping on Instagram: cloud chasing, hand checks and product placement. Tobacco Control 2017;26(5):575 View
  24. Guillory J, Kim A, Murphy J, Bradfield B, Nonnemaker J, Hsieh Y. Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers. Journal of Medical Internet Research 2016;18(11):e288 View
  25. Doran N, Brikmanis K. Expectancies for and use of e-cigarettes and hookah among young adult non-daily smokers. Addictive Behaviors 2016;60:154 View
  26. Rose S, Jo C, Binns S, Buenger M, Emery S, Ribisl K. Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis. Journal of Medical Internet Research 2017;19(2):e56 View
  27. Sawdey M, Hancock L, Messner M, Prom-Wormley E. Assessing the Association Between E-Cigarette Use and Exposure to Social Media in College Students: A Cross-Sectional Study. Substance Use & Misuse 2017;52(14):1910 View
  28. Soule E, Sakuma K, Palafox S, Pokhrel P, Herzog T, Thompson N, Fagan P. Content analysis of internet marketing strategies used to promote flavored electronic cigarettes. Addictive Behaviors 2019;91:128 View
  29. Azagba S, Shan L, Manzione L. Associations of home and workplace vaping restrictions with e-cigarette use among U.S. adults. Preventive Medicine 2020;139:106196 View
  30. Glasser A, Collins L, Pearson J, Abudayyeh H, Niaura R, Abrams D, Villanti A. Overview of Electronic Nicotine Delivery Systems: A Systematic Review. American Journal of Preventive Medicine 2017;52(2):e33 View
  31. McCloud R, Kohler R, Viswanath K. Cancer Risk–Promoting Information: The Communication Environment of Young Adults. American Journal of Preventive Medicine 2017;53(3):S63 View
  32. Dai H, Deem M, Hao J. Geographic variations in electronic cigarette advertisements on Twitter in the United States. International Journal of Public Health 2017;62(4):479 View
  33. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  34. Majmundar A, Allem J, Cruz T, Unger J. Where Do People Vape? Insights from Twitter Data. International Journal of Environmental Research and Public Health 2019;16(17):3056 View
  35. Murphy J, Hsieh Y, Wenger M, Kim A, Chew R. Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure. Information, Communication & Society 2019;22(5):622 View
  36. Kong G, LaVallee H, Rams A, Ramamurthi D, Krishnan-Sarin S. Promotion of Vape Tricks on YouTube: Content Analysis. Journal of Medical Internet Research 2019;21(6):e12709 View
  37. Collins L, Glasser A, Abudayyeh H, Pearson J, Villanti A. E-Cigarette Marketing and Communication: How E-Cigarette Companies Market E-Cigarettes and the Public Engages with E-cigarette Information. Nicotine & Tobacco Research 2019;21(1):14 View
  38. Martinez L, Hughes S, Walsh-Buhi E, Tsou M. “Okay, We Get It. You Vape”: An Analysis of Geocoded Content, Context, and Sentiment regarding E-Cigarettes on Twitter. Journal of Health Communication 2018;23(6):550 View
  39. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  40. Gao Y, Xie Z, Li D. Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data. JMIR Public Health and Surveillance 2021;7(1):e24859 View
  41. Kim Y, Emery S, 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 View
  42. 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 View
  43. 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
  44. 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 View
  45. Yang Q, Clendennen S, Loukas A. How Does Social Media Exposure and Engagement Influence College Students’ Use of ENDS Products? A Cross-lagged Longitudinal Study. Health Communication 2023;38(1):31 View
  46. Ransom E. Impossible solutions: Competing values in marketing alternative proteins for sustainable food systems. Journal of Rural Studies 2021;86:694 View
  47. Bardier C, Yang J, Li J, Mackey T. Characterizing alternative and emerging tobacco product transition of use behavior on Twitter. BMC Research Notes 2021;14(1) View
  48. Lyu J, Luli G, Ling P, Doran N. Vaping discussion in the COVID-19 pandemic: An observational study using Twitter data. PLOS ONE 2021;16(12):e0260290 View
  49. Gao Y, Xie Z, Sun L, Xu C, Li D. Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study. JMIR Public Health and Surveillance 2021;7(11):e29600 View
  50. Cantrell J, Bingenheimer J, Tulsiani S, Hair E, Vallone D, Mills S, Gerard R, Evans W. Assessing digital advertising exposure using a virtual experimental protocol. DIGITAL HEALTH 2022;8:205520762211022 View
  51. Xu Q, Yang J, Haupt M, Cai M, Nali M, Mackey T. Digital Surveillance to Identify California Alternative and Emerging Tobacco Industry Policy Influence and Mobilization on Facebook. International Journal of Environmental Research and Public Health 2021;18(21):11150 View
  52. Gao Y, Zhu L, Mao Z. How to improve public health literacy based on polycentric public goods theory: preferences of the Chinese general population. BMC Public Health 2022;22(1) View
  53. Jun J, Zhang N, Zain A, Mohammadi E. Social Media Discussions on the FDA’s Modified Risk Tobacco Product Authorization of IQOS. Substance Use & Misuse 2022;57(3):472 View
  54. Ezike N, Ames Boykin A, Dobbs P, Mai H, Primack B. Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series. JMIR Infodemiology 2022;2(2):e37412 View
  55. Pebley K, Wang X, Fahey M, Patten C, Mallawaarachchi I, Talcott G, Klesges R, Little M. Examination of Tobacco-Related Messaging and Tobacco Use over Time among U.S. Military Young Adults. Substance Use & Misuse 2023;58(1):146 View
  56. Haupt M, Xu Q, Yang J, Cai M, Mackey T. Characterizing Vaping Industry Political Influence and Mobilization on Facebook: Social Network Analysis. Journal of Medical Internet Research 2021;23(10):e28069 View
  57. Greene A, Carr S, Jia H. Tech, Sex, and E-cigarettes: The Gendering of Vape Promotion on Instagram. Journal of Health Communication 2022;27(9):682 View
  58. Steele S, Sarcevic L, Ruskin G, Stuckler D. Confronting potential food industry ‘front groups’: case study of the international food information Council’s nutrition communications using the UCSF food industry documents archive. Globalization and Health 2022;18(1) View
  59. Purushothaman V, Cuomo R, Li J, Mackey T. Examining the association between California tobacco licensed retail density and public support or opposition to state anti-tobacco legislation. Tobacco Prevention & Cessation 2023;9(January):1 View
  60. Kim I, Begay C, Ma H, Orozco F, Rogers C, Valente T, Unger J. E-Cigarette–Related Health Beliefs Expressed on Twitter Within the U.S.. AJPM Focus 2023;2(2):100067 View
  61. Dobbs P, Boykin A, Ezike N, Myers A, Colditz J, Primack B. Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis. JMIR Formative Research 2023;7:e50346 View
  62. Walker A, LoParco C, Rossheim M, Livingston M. #Delta8: a retailer-driven increase in Delta-8 THC discussions on Twitter from 2020 to 2021. The American Journal of Drug and Alcohol Abuse 2023;49(4):491 View
  63. Farrelly M, Levine B, Cavazos M. Advancing youth tobacco surveillance with novel methods. Health Education Research 2024;39(4):323 View
  64. Ma S, Kaareen A, Park H, He Y, Jiang S, Qiu Z, Xie Z, Li D, Chen J, O’Connor R, Fong G, Shang C. How to Identify e-Cigarette Brands Available in the United States During 2020-2022: Development and Usability Study. JMIR Formative Research 2024;8:e47570 View
  65. Murthy D, Keshari S, Arora S, Yang Q, Loukas A, Schwartz S, Harrell M, Hébert E, Wilkinson A. Categorizing E-Cigarette-related Tweets using BERT Topic Modeling. Emerging Trends in Drugs, Addictions, and Health 2024:100160 View

Books/Policy Documents

  1. Optican A, Cavazos-Rehg P. Child and Adolescent Psychiatry and the Media. View