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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

Emulating the study by Hagen et al [43] that found political bots’ effect on the network structure, we investigated the proportions of bots among the most influential actors. We were not able to find outstanding evidence of bots systematically interfering with the conversation in our data set to the extent to justify deletion of bot accounts.

Loni Hagen, Ashley Fox, Heather O'Leary, DeAndre Dyson, Kimberly Walker, Cecile A Lengacher, Raquel Hernandez

JMIR Infodemiology 2022;2(1):e34231

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