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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25636, first published .
Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Authors of this article:

Li Crystal Jiang1 Author Orcid Image ;   Tsz Hang Chu1 Author Orcid Image ;   Mengru Sun2 Author Orcid Image

Journals

  1. Calac A, Haupt M, Li Z, Mackey T. Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study. JMIR Infodemiology 2022;2(1):e33587 View
  2. 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
  3. Zhao S, Hu S, Zhou X, Song S, Wang Q, Zheng H, Zhang Y, Hou Z. The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review. JMIR Public Health and Surveillance 2023;9:e40201 View
  4. Sigalo N, St Jean B, Frias-Martinez V. Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets. JMIR Public Health and Surveillance 2022;8(7):e34285 View
  5. Aljedaani W, Saad E, Rustam F, de la Torre Díez I, Ashraf I. Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends. Mathematics 2022;10(17):3199 View
  6. 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
  7. Macdonald E, Gaines J, Taubenfeld E, Labagnara K, Huang A, Winer A, Teper E, Abraham N, Watts K. Analysis of Twitter Engagement in a Progressively More Competitive Urology Match: A Mixed Methods Study. Urology 2022;167:30 View
  8. 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
  9. Schmid-Petri H, Bürger M, Schlögl S, Schwind M, Mitrović J, Kühn R. The multilingual Twitter-discourse on vaccination in Germany during the COVID-19 pandemic. Media and Communication 2023;11(1):293 View
  10. Slavik C, Yiannakoulias N, Buttle C, Darlington J. ‘Vaccinfluencers’: a study of influential voices criticizing COVID-19 vaccination efforts and negative vaccine information discourse on Twitter. The Communication Review 2023;26(3):300 View
  11. Bouabdallaoui I, Guerouate F, Sbihi M. Hybrid Text Embedding and Evolutionary Algorithm Approach for Topic Clustering in Online Discussion Forums. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 2024;13:e31448 View
  12. Taubert F, Meyer-Hoeven G, Schmid P, Gerdes P, Betsch C. Conspiracy narratives and vaccine hesitancy: a scoping review of prevalence, impact, and interventions. BMC Public Health 2024;24(1) View
  13. Fu H, Oh S. Vaccine disclosure and vaccine hesitancy on social Q&A: comparing topical differences and user engagement in COVID-19 vs non-COVID-19 vaccine questions. Aslib Journal of Information Management 2025 View

Conference Proceedings

  1. Platonov K, Svetlov K, Saifulina V. 2022 32nd Conference of Open Innovations Association (FRUCT). Discourse on Vaccination on Russian Social Media: Topics and Controversy View
  2. Alonso del Barrio D, Gatica-Perez D. Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation. Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework View