Disinformation and vaccines on social networks: Behavior of hoaxes on Twitter
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Author/sNoguera Vivo, Jose Manuel; Grandío Pérez, María del Mar; Villar Rodríguez, Guillermo; Martín, Alejandro; Camacho, David
Discipline/sCiencias de la Comunicación
Anti-vaccine disinformation is highly dangerous due to its direct effects on society. Although there is relevant research on typologies of hoaxes, denialist discourses on networks, or the popularity of vaccines, this study provides a complementary and pioneering vision about the antivaccine discourse of COVID-19 on Twitter, focused on its spreaders’ behavior. Methodology: Given an initial sample of a hundred hoaxes (from December 2020 to September 2021) for the download of 200,246 tweets, around 36,000 tweets (N=36.292) that support or deny disinformation have been filtered through an algorithm for Natural Language Inference (NLI) to analyze their spreaders’ through their metrics in the platform. Results: In relative numbers, the results show, among others, more hoaxes with original content (not retweets) among accounts with more followers and those verified; more irruption of disinformation as opposed to its objection by accounts created between 2013 and 2020, and the associa...