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

Early Results from COVID-19 Studies (370) Infodemiology and Infoveillance (1588) Vaccination and Immunization in the Digital Age (454) Public (e)Health, Digital Epidemiology and Public Health Informatics (1081) Infectious Diseases (non-STD/STI) (1744) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1155) Outbreak and Pandemic Preparedness and Management (1843) Vaccination Sentiment and Anti-Vaccination Infodemiology (92) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1954) Natural Language Processing (943)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84791, first published .
Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing

Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing

Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing

Authors of this article:

Sangpil Youm1 Author Orcid Image ;   Sou Hyun Jang2 Author Orcid Image ;   Haewoon Kwak3 Author Orcid Image ;   Jaeyoung Choi4 Author Orcid Image ;   Yong Jeong Yi5 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.