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

Infoveillance and Social Listening (244) JMIR Theme Issue: COVID-19 Special Issue (2493) Infodemiology and Infoveillance (1448) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Parent and Caregiver Education and Behavior Change for Vaccination (77) Infectious Diseases (non-STD/STI) (1655) Outbreak and Pandemic Preparedness and Management (1779) Mass Media/Social Media Communication and Campaigns (505) Vaccination and Immunization in the Digital Age (399) COVID-19 Vaccination (165)

Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28800, first published .
Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

Authors of this article:

Jean-Christophe Boucher1 Author Orcid Image ;   Kirsten Cornelson2 Author Orcid Image ;   Jamie L Benham3, 4 Author Orcid Image ;   Madison M Fullerton4 Author Orcid Image ;   Theresa Tang4 Author Orcid Image ;   Cora Constantinescu5 Author Orcid Image ;   Mehdi Mourali6 Author Orcid Image ;   Robert J Oxoby7 Author Orcid Image ;   Deborah A Marshall3, 4 Author Orcid Image ;   Hadi Hemmati8 Author Orcid Image ;   Abbas Badami8 Author Orcid Image ;   Jia Hu4 Author Orcid Image ;   Raynell Lang3 Author Orcid Image
Article Authors Cited by (41) Tweetations (45) Metrics

Journals

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  2. Yin J. Media Data and Vaccine Hesitancy: Scoping Review. JMIR Infodemiology 2022;2(2):e37300 View
  3. Bari A, Heymann M, Cohen R, Zhao R, Szabo L, Apas Vasandani S, Khubchandani A, DiLorenzo M, Coffee M. Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms. Clinical Infectious Diseases 2022;74(Supplement_3):e4 View
  4. Hagen L, Fox A, O'Leary H, Dyson D, Walker K, Lengacher C, Hernandez R. The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding. JMIR Infodemiology 2022;2(1):e34231 View
  5. Park S, Suh Y. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e42623 View
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  8. Baird A, Xia Y, Cheng Y. Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis. JAMIA Open 2022;5(2) View
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  14. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  15. Parsons Leigh J, Halperin D, Mizen S, FitzGerald E, Moss S, Fiest K, Di Castri A, Stelfox H, Halperin S. Exploring the impact of media and information on self-reported intentions to vaccinate against COVID-19: A qualitative interview-based study. Human Vaccines & Immunotherapeutics 2022;18(5) View
  16. Skafle I, Nordahl-Hansen A, Quintana D, Wynn R, Gabarron E. Misinformation About COVID-19 Vaccines on Social Media: Rapid Review. Journal of Medical Internet Research 2022;24(8):e37367 View
  17. Boucher J, Kim S, Jessiman-Perreault G, Edwards J, Smith H, Frenette N, Badami A, Scott L. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. BMC Public Health 2023;23(1) View
  18. Fung H, Sgaier S, Huang V. Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network. Scientific Reports 2023;13(1) View
  19. Ionescu C, Licu M. Are TikTok Algorithms Influencing Users’ Self-Perceived Identities and Personal Values? A Mini Review. Social Sciences 2023;12(8):465 View
  20. Saleh S, McDonald S, Basit M, Kumar S, Arasaratnam R, Perl T, Lehmann C, Medford R. Public perception of COVID-19 vaccines through analysis of Twitter content and users. Vaccine 2023;41(33):4844 View
  21. Ramirez L, Wickner P, Cline N, Rehman N, Wu A, Pien L, Stukus D. How Likes and Retweets Impacted Our Patients During the COVID-19 Pandemic. The Journal of Allergy and Clinical Immunology: In Practice 2023;11(11):3356 View
  22. Pelletier C, Labbé F, Bettinger J, Curran J, Graham J, Greyson D, MacDonald N, Meyer S, Steenbeek A, Xu W, Dubé È. From high hopes to disenchantment: A qualitative analysis of editorial cartoons on COVID-19 vaccines in Canadian newspapers. Vaccine 2023;41(30):4384 View
  23. Déom N, Vanderslott S, Kingori P, Martin S. Online on the frontline: A longitudinal social media analysis of UK healthcare workers’ attitudes to COVID-19 vaccines using the 5C framework. Social Science & Medicine 2023;339:116313 View
  24. Abreu C, Martins A, Branco E, Rocha R, Sarmento A, Magro F. Vaccines – beliefs and concerns: the voice of patients with inflammatory immunomediated diseases. European Journal of Gastroenterology & Hepatology 2023;35(8):848 View
  25. Skarpelos Y, Messini S, Roinioti E, Karpouzis K, Kaperonis S, Marazoti M. Emotions during the Pandemic’s First Wave: The Case of Greek Tweets. Digital 2024;4(1):126 View
  26. Harris M, Murtfeldt R, Wang S, Mordecai E, West J, Ognyanova K. Perceived experts are prevalent and influential within an antivaccine community on Twitter. PNAS Nexus 2024;3(2) View
  27. Gallagher M. Polling to vaccination stations: Brexit’s influence on immunisation uptake. New Perspectives 2024;32(2):162 View
  28. Alibudbud R. Philippine COVID-19 Vaccination Through an Infodemiological Lens: A One-year Web-based Search Volume Analysis From 2020 to 2021. Malaysian Journal of Medicine and Health Sciences 2024;20(1):369 View
  29. Doucette E, Pateman M, Fullerton M, Lip A, Houle S, Kellner J, Leal J, MacDonald S, McNeil D, Davidson S, Constantinescu C. “You can push these conversations, but don’t push your patient away”: healthcare learner perspectives on virtual simulation games as an educational approach to address vaccine hesitancy. Frontiers in Public Health 2024;12 View
  30. Gardasevic S, Jaiswal A, Lamba M, Funakoshi J, Chu K, Shah A, Sun Y, Pokhrel P, Washington P. Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review. Information 2024;15(11):690 View
  31. Sinha G, Graaf G, Larrison C, Brooks I. Gender disparities and mental health manifestations in Twitter discourse on student loan debts. Social Work in Mental Health 2025;23(3):272 View
  32. Weerasinghe S, Oyebode O, Orji R. “No claims, no trials, no compensation. Just roll up your sleeve”: social media communication on vaccine uptake sentiments in Canada. Health & New Media Research 2024;8(2):33 View
  33. Jameel R, Greenfield S, Lavis A. A thematic analysis of UK COVID-19 vaccine hesitancy discussions on Twitter. BMC Public Health 2025;25(1) View
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  35. Baykal D, Kutlu L. The Effect of Trust and Verification of Social Media News on the COVID-19 Vaccine Attitude. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 2025;7(1):53 View
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Books/Policy Documents

  1. Küçük D, Arıcı N. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View
  2. Nimanthika S, Kuhaneswaran B, Wijeratne A, Kumara S. Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science. View

Conference Proceedings

  1. AlMeraj Z, Husain F. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. A Preliminary Cross-Language Investigation of Empathy in # Disability Discourse on Twitter View
  2. Dubey A, Athina L, Gokhale S. 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). Is Twitter a News Source or a Social Platform: A Case Study of Covid-19 Vaccine Conversations View
  3. Al Arfaj L, Lee J, Shelton J, Ertem Z, Tran T, Chen Y, Wysocki B, Blowers M, Bharadwaj R. Disruptive Technologies in Information Sciences VIII. The impact of misinformation on the health of underrepresented youth during public health crises: a preliminary study View