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  1. Studying the COVID-19 infodemic at scale.Sylvie Briand, Pier Luigi Sacco, Manlio De Domenico & Anatoliy Gruzd - 2021 - Big Data and Society 8 (1).
    This special theme issue of Big Data & Society presents leading-edge, interdisciplinary research that focuses on examining how health-related information is circulating on social media. In particular, we are focusing on how computational and Big Data approaches can help to provide a better understanding of the ongoing COVID-19 infodemic and to develop effective strategies to combat it.
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  • Ideological variation in preferred content and source credibility on Reddit during the COVID-19 pandemic.Tendai Gwanzura, Elmira Akbaripourdibazar, Nicole Gatto, Christopher Krewson & Wallace Chipidza - 2022 - Big Data and Society 9 (1).
    In this exploratory study, we examine political polarization regarding the online discussion of the COVID-19 pandemic. We use data from Reddit to explore the differences in the topics emphasized by different subreddits according to political ideology. We also examine whether there are systematic differences in the credibility of sources shared by the subscribers of subreddits that vary by ideology, and in the tendency to share information from sources implicated in spreading COVID-19 misinformation. Our results show polarization in topics of discussion: (...)
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