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

Infodemic Management (44) JMIR Theme Issue: COVID-19 Special Issue (2394) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Infodemiology and Infoveillance (1278) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Vaccination and Immunization in the Digital Age (347) Machine Learning (1401) 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
Article Authors Cited by (7) Tweetations (17) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually