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

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

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

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

Journals

  1. Staal Y, 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 View
  2. Pozzana I, Ferrara E. Measuring Bot and Human Behavioral Dynamics. Frontiers in Physics 2020;8 View
  3. Basáñez T, Majmundar A, Cruz T, Unger J. Vaping associated with healthy food words: A content analysis of Twitter. Addictive Behaviors Reports 2018;8:147 View
  4. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  5. 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
  6. Allem J, Majmundar A, Dharmapuri L, Unger J, Cruz T. Insights on electronic cigarette products from reviews on the Reddit forum. Tobacco Prevention & Cessation 2019;5(September) View
  7. Allem J, Majmundar A, Dharmapuri L, Cruz T, Unger J. E-liquid-related posts to Twitter in 2018: Thematic analysis. Addictive Behaviors Reports 2019;10:100196 View
  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 View
  9. Abulaish M, Fazil M. Socialbots: Impacts, Threat-Dimensions, and Defense Challenges. IEEE Technology and Society Magazine 2020;39(3):52 View
  10. Pruss D, Fujinuma Y, Daughton A, Paul M, Arnot B, Albers Szafir D, Boyd-Graber J, Xia F. Zika discourse in the Americas: A multilingual topic analysis of Twitter. PLOS ONE 2019;14(5):e0216922 View
  11. Ferrara E. The history of digital spam. Communications of the ACM 2019;62(8):82 View
  12. Al-Rawi A. The fentanyl crisis & the dark side of social media. Telematics and Informatics 2019;45:101280 View
  13. 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 View
  14. 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 View
  15. Allem J, Dharmapuri L, Unger J, Cruz T. Characterizing JUUL-related posts on Twitter. Drug and Alcohol Dependence 2018;190:1 View
  16. Shu K, Bhattacharjee A, Alatawi F, Nazer T, Ding K, Karami M, Liu H. Combating disinformation in a social media age. WIREs Data Mining and Knowledge Discovery 2020;10(6) View
  17. Robertson L, Hoek J, Blank M, Richards R, Ling P, Popova L, McMillan L. A qualitative exploration of information-seeking by electronic nicotine delivery systems (ENDS) users in New Zealand. BMJ Open 2018;8(10):e023375 View
  18. 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 View
  19. Ledford H. Social scientists battle bots to glean insights from online chatter. Nature 2020;578(7793):17 View
  20. Pokhrel P, Fagan P, Kawamoto C, Okamoto S, Herzog T. Predictors of marijuana vaping onset and escalation among young adults. Drug and Alcohol Dependence 2020;216:108320 View
  21. Gao Y, Xie Z, Sun L, Xu C, Li D. Electronic Cigarette–Related Contents on Instagram: Observational Study and Exploratory Analysis. JMIR Public Health and Surveillance 2020;6(4):e21963 View
  22. Kudugunta S, Ferrara E. Deep neural networks for bot detection. Information Sciences 2018;467:312 View
  23. Reuter K, MacLennan A, Le N, Unger J, Kaiser E, 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 View
  24. Kochigina A. The parallel power in organizations’ defense: Exploring faith-holders and their crisis communication. Public Relations Review 2020;46(4):101950 View
  25. Zhang Y, Allem J, Unger J, 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 View
  26. 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 View
  27. Allem J, Ferrara E. Could Social Bots Pose a Threat to Public Health?. American Journal of Public Health 2018;108(8):1005 View
  28. Zhang J, Centola D. Social Networks and Health: New Developments in Diffusion, Online and Offline. Annual Review of Sociology 2019;45(1):91 View
  29. Giorgi S, Yaden D, Eichstaedt J, Ashford R, Buffone A, Schwartz H, Ungar L, Curtis B. Cultural Differences in Tweeting about Drinking Across the US. International Journal of Environmental Research and Public Health 2020;17(4):1125 View
  30. Jamison A, Broniatowski D, Quinn S. Malicious Actors on Twitter: A Guide for Public Health Researchers. American Journal of Public Health 2019;109(5):688 View
  31. Barker J, Rohde J. Topic Clustering of E-Cigarette Submissions Among Reddit Communities: A Network Perspective. Health Education & Behavior 2019;46(2_suppl):59S View
  32. Allem J, Cruz T, Unger J, Toruno R, Herrera J, Kirkpatrick M. Return of cartoon to market e-cigarette-related products. Tobacco Control 2019;28(5):555 View
  33. Pagoto S, Waring M, Xu R. A Call for a Public Health Agenda for Social Media Research. Journal of Medical Internet Research 2019;21(12):e16661 View
  34. 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 View
  35. Muralidhara S, Paul M. #Healthy Selfies: Exploration of Health Topics on Instagram. JMIR Public Health and Surveillance 2018;4(2):e10150 View
  36. Ayers J, Dredze M, Leas E, Caputi T, Allem J, Cohen J, Sanchez Z. 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 View
  37. Albalawi Y, Nikolov N, Buckley J. Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis. Journal of Medical Internet Research 2019;21(10):e14731 View
  38. Allem J, Dharmapuri L, Leventhal A, Unger J, Boley Cruz T. Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis. Journal of Medical Internet Research 2018;20(11):e11669 View
  39. Majmundar A, Le N, Moran M, Unger J, Reuter K. Public Response to a Social Media Tobacco Prevention Campaign: Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e20649 View
  40. Lyu J, Luli G. Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study. Journal of Medical Internet Research 2021;23(2):e25108 View
  41. Wang D, Lyu J, 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 View
  42. Klein E, Czaplicki L, Berman M, Emery S, Schillo B. Visual Attention to the Use of #ad versus #sponsored on e-Cigarette Influencer Posts on Social Media: A Randomized Experiment. Journal of Health Communication 2020;25(12):925 View
  43. 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
  44. Cuomo R, Purushothaman V, Li J, Bardier C, Nali M, Shah N, Obradovich N, Yang J, Mackey T. Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses. Frontiers in Public Health 2021;9 View
  45. Pang R, Dormanesh A, Hoang Y, Chu M, Allem J. Twitter Posts About Cannabis Use During Pregnancy and Postpartum:A Content Analysis. Substance Use & Misuse 2021;56(7):1074 View
  46. 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
  47. Majmundar A, Allem J, Cruz T, Unger J, Pentz M. Monitoring Health Effects of Vaping Discussed on Twitter in 2018 and 2019. Journal of General Internal Medicine 2021 View
  48. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187 View
  49. 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
  50. Shi W, Liu D, Yang J, Zhang J, Wen S, Su J. Social Bots’ Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter. International Journal of Environmental Research and Public Health 2020;17(22):8701 View
  51. Kirkpatrick M, Dormanesh A, Rivera V, Majmundar A, Soto D, Chen-Sankey J, Cruz T, Unger J, Allem J. #FlavorsSaveLives: An Analysis of Twitter Posts Opposing Flavored E-cigarette Bans. Nicotine & Tobacco Research 2021;23(8):1431 View
  52. Reuter K, Rocca E. Correspondence on ‘Mining social media data to investigate patient perceptions regarding DMARD pharmacotherapy for rheumatoid arthritis’. Annals of the Rheumatic Diseases 2021:annrheumdis-2020-219776 View
  53. Williams M, Reddy G, Quinn M, Millikan Bell A. Toxicological assessment of electronic cigarette vaping: an emerging threat to force health, readiness and resilience in the U.S. Army. Drug and Chemical Toxicology 2021:1 View
  54. Allem J, Dormanesh A, Majmundar A, Unger J, Kirkpatrick M, 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 View
  55. Himelein-Wachowiak M, Giorgi S, Devoto A, Rahman M, Ungar L, Schwartz H, Epstein D, Leggio L, Curtis B. Bots and Misinformation Spread on Social Media: Implications for COVID-19. Journal of Medical Internet Research 2021;23(5):e26933 View
  56. Dormanesh A, Allem J. New products that facilitate stealth vaping: the case of SLEAV. Tobacco Control 2021:tobaccocontrol-2020-056408 View
  57. Yang K, Varol O, Davis C, 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 View
  58. Mehmet M, Callaghan K, Lewis C. Lots of bots or maybe nots: A process for detecting bots in social media research. International Journal of Market Research 2021:147078532110274 View
  59. Hswen Y, Yom-Tov E. Analysis of a Vaping-Associated Lung Injury Outbreak through Participatory Surveillance and Archival Internet Data. International Journal of Environmental Research and Public Health 2021;18(15):8203 View
  60. 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

Books/Policy Documents

  1. Ferrara E. Disinformation, Misinformation, and Fake News in Social Media. View
  2. Xu Y, Kim H, Wang Y, Wu J, Hong T, McLaughlin M. Social Computing and Social Media: Experience Design and Social Network Analysis. View
  3. Rittichier K, Kaur D, Uslu S, Durresi A. Advances in Networked-Based Information Systems. View