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

Infodemiology and Infoveillance (1364) Public (e)Health, Digital Epidemiology and Public Health Informatics (743) Outbreak and Pandemic Preparedness and Management (1740) Vaccination and Immunization in the Digital Age (378) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Infectious Diseases (non-STD/STI) (1586) Early Results from COVID-19 Studies (307)

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 (4) Tweetations (11) Metrics