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

Vaccination and Immunization in the Digital Age (374) Machine Learning (1458) Public Health Informatics (91) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1040) Parent and Caregiver Education and Behavior Change for Vaccination (74) Mass Media/Social Media Communication and Campaigns (461) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1639) Discourse (38)

Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23105, first published .
Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study

Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study

Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study

Authors of this article:

Young Anna Argyris1 Author Orcid Image ;   Kafui Monu2 Author Orcid Image ;   Pang-Ning Tan1 Author Orcid Image ;   Colton Aarts3 Author Orcid Image ;   Fan Jiang3 Author Orcid Image ;   Kaleigh Anne Wiseley1 Author Orcid Image
Article Authors Cited by (14) Tweetations (7) Metrics

Young Anna Argyris   1 , PhD ;   Kafui Monu   2 , PhD ;   Pang-Ning Tan   1 , PhD ;   Colton Aarts   3 , BSc ;   Fan Jiang   3 , PhD ;   Kaleigh Anne Wiseley   1 , MA

1 Michigan State University, East Lansing, MI, United States

2 School of Business, University of Northern British Columbia, Prince George, BC, Canada

3 Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada

Corresponding Author:

  • Young Anna Argyris, PhD
  • Michigan State University
  • 404 Wilson Road
  • East Lansing, MI, 48823
  • United States
  • Phone: 1 517-353-2198
  • Email: argyris@msu.edu