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

Infodemic Management (49) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Vaccination and Immunization in the Digital Age (378) Machine Learning (1501) Discourse (38)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34231, first published .
The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding

The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding

The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding

Authors of this article:

Loni Hagen1 Author Orcid Image ;   Ashley Fox2 Author Orcid Image ;   Heather O'Leary3 Author Orcid Image ;   DeAndre Dyson1 Author Orcid Image ;   Kimberly Walker4 Author Orcid Image ;   Cecile A Lengacher5 Author Orcid Image ;   Raquel Hernandez6 Author Orcid Image
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