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

Infodemiology and Infoveillance (1349) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Outbreak and Pandemic Preparedness and Management (1727) Vaccination and Immunization in the Digital Age (374) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infectious Diseases (non-STD/STI) (1575) Early Results from COVID-19 Studies (299)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49753, first published .
Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study

Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study

Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study

Authors of this article:

Xinyu Zhou1, 2, 3 Author Orcid Image ;   Suhang Song4 Author Orcid Image ;   Ying Zhang1, 2 Author Orcid Image ;   Zhiyuan Hou1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (11) Metrics

Journals

  1. Ward J, Peretti-Watel P, Dubé E, Verger P, Attwell K. Context matters: How to research vaccine attitudes and uptake after the COVID-19 crisis. Human Vaccines & Immunotherapeutics 2024;20(1) View
  2. Coleman B, Gutmanis I, Bondy S, Harrison R, Langley J, Fischer K, Cooper C, Valiquette L, Muller M, Powis J, Bowdish D, Katz K, Loeb M, Smieja M, McNeil S, Mubareka S, Nadarajah J, Arnoldo S, McGeer A. Canadian health care providers' and education workers' hesitance to receive original and bivalent COVID-19 vaccines. Vaccine 2024;42(24):126271 View
  3. Albarrak K, Sorour S. Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions. Systems 2024;12(11):475 View