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

Infoveillance and Social Listening (153) JMIR Theme Issue: COVID-19 Special Issue (2243) Infodemiology and Infoveillance (1128) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (924) Parent and Caregiver Education and Behavior Change for Vaccination (65) Infectious Diseases (non-STD/STI) (1289) Outbreak and Pandemic Preparedness and Management (1530) Mass Media/Social Media Communication and Campaigns (406) Vaccination and Immunization in the Digital Age (295) COVID-19 Vaccination (105)

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 Boucher 1 Author Orcid Image ;   Kirsten Cornelson 2 Author Orcid Image ;   Jamie L Benham 3, 4 Author Orcid Image ;   Madison M Fullerton 4 Author Orcid Image ;   Theresa Tang 4 Author Orcid Image ;   Cora Constantinescu 5 Author Orcid Image ;   Mehdi Mourali 6 Author Orcid Image ;   Robert J Oxoby 7 Author Orcid Image ;   Deborah A Marshall 3, 4 Author Orcid Image ;   Hadi Hemmati 8 Author Orcid Image ;   Abbas Badami 8 Author Orcid Image ;   Jia Hu 4 Author Orcid Image ;   Raynell Lang 3 Author Orcid Image
Article Authors Cited by (19) Tweetations (85) Metrics

Journals

  1. Tsai R, Hervey J, Hoffman K, Wood J, Johnson J, Deighton D, Clermont D, Loew B, Goldberg S. COVID-19 Vaccine Hesitancy and Acceptance Among Individuals With Cancer, Autoimmune Diseases, or Other Serious Comorbid Conditions: Cross-sectional, Internet-Based Survey. JMIR Public Health and Surveillance 2022;8(1):e29872 View
  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
  6. Gélinas-Gascon F, Khoury R. Modeling and Moderation of COVID-19 Social Network Chat. Information 2023;14(2):124 View
  7. Marcec R, Stjepanovic J, Likic R. Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data. JMIR Bioinformatics and Biotechnology 2022;3(1):e38976 View
  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
  9. Blane J, Bellutta D, Carley K. Social-Cyber Maneuvers During the COVID-19 Vaccine Initial Rollout: Content Analysis of Tweets. Journal of Medical Internet Research 2022;24(3):e34040 View
  10. Gao H, Zhao Q, Ning C, Guo D, Wu J, Li L. Does the COVID-19 Vaccine Still Work That “Most of the Confirmed Cases Had Been Vaccinated”? A Content Analysis of Vaccine Effectiveness Discussion on Sina Weibo during the Outbreak of COVID-19 in Nanjing. International Journal of Environmental Research and Public Health 2021;19(1):241 View
  11. Matenga T, Zulu J, Moonzwe Davis L, Chavula M. Motivating factors for and barriers to the COVID-19 vaccine uptake: A review of social media data in Zambia. Cogent Public Health 2022;9(1) View
  12. Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Puleo V, Melnyk A, Lontano A, Ricciardi W. Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature. eClinicalMedicine 2022;48:101454 View
  13. Arrieta A, García-Prado A, Sarmiento J, Paz Castro C. Identifying early adopters of COVID-19 vaccines in Latin America. Vaccine 2022;40(49):7158 View
  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

Books/Policy Documents

  1. Küçük D, Arıcı N. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View