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 , US

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

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

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

5 College of Nursing , University of South Florida , Tampa , FL , US

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

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