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

Loni Hagen   1 , PhD ;   Ashley Fox   2 , PhD ;   Heather O'Leary   3 , PhD ;   DeAndre Dyson   1 , BA ;   Kimberly Walker   4 , PhD ;   Cecile A Lengacher   5 , PhD ;   Raquel Hernandez   6 , MPH, MD

1 School of Information, University of South Florida, Tampa, FL, United States

2 Rockefeller College of Public Affairs and Policy, University at Albany, State University of New York, Albany, NY, United States

3 Department of Anthropology, University of South Florida, St. Petersburg, FL, United States

4 Zimmerman School of Advertising and Mass Communications, University of South Florida, Tampa, FL, United States

5 College of Nursing, University of South Florida, Tampa, FL, United States

6 Institute for Clinical and Translational Research, Johns Hopkins All Children's Hospital, St. Petersburg, FL, United States

Corresponding Author:

  • Loni Hagen, PhD
  • School of Information
  • University of South Florida
  • 4202 E Fowler Ave
  • Tampa, FL, 33620
  • United States
  • Phone: 1 (813) 974-3520
  • Fax: 1 (813) 974-3520
  • Email: lonihagen@usf.edu