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

Vaccination and Immunization in the Digital Age (244) Machine Learning (954) Public Health Informatics (35) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (785) Parent and Caregiver Education and Behavior Change for Vaccination (58) Mass Media/Social Media Communication and Campaigns (394) Infodemiology and Infoveillance (967) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1225)

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 Argyris 1 Author Orcid Image ;   Kafui Monu 2 Author Orcid Image ;   Pang-Ning Tan 1 Author Orcid Image ;   Colton Aarts 3 Author Orcid Image ;   Fan Jiang 3 Author Orcid Image ;   Kaleigh Anne Wiseley 1 Author Orcid Image
Article Authors Cited by Tweetations (10) 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 , US

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

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

Corresponding Author: