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  1. The COVID-19 Infodemic: Twitter versus Facebook.Filippo Menczer, John Bryden, Christopher Torres-Lugo, David Axelrod, Pik-Mai Hui, Francesco Pierri & Kai-Cheng Yang - 2021 - Big Data and Society 8 (1).
    The global spread of the novel coronavirus is affected by the spread of related misinformation—the so-called COVID-19 Infodemic—that makes populations more vulnerable to the disease through resistance to mitigation efforts. Here, we analyze the prevalence and diffusion of links to low-credibility content about the pandemic across two major social media platforms, Twitter and Facebook. We characterize cross-platform similarities and differences in popular sources, diffusion patterns, influencers, coordination, and automation. Comparing the two platforms, we find divergence among the prevalence of popular (...)
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  • Between urgency and data quality: assessing the FAIRness of data in social science research on the COVID-19 pandemic.Veronika Batzdorfer, Wolfgang Zenk-Möltgen, Laura Young, Alexia Katsanidou, Johannes Breuer & Libby Bishop - 2024 - Research Ethics 20 (4):744-763.
    Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular underscores the need for high-quality data and rapid dissemination. Given the importance of behavioural measures and compliance with measures to contain the pandemic, social science research has played a key role in policymaking during this global crisis. This study addresses two key research questions: How FAIR ( findable, accessible, interoperable and reusable) are social science data (...)
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  • Follow *the* science? On the marginal role of the social sciences in the COVID-19 pandemic.Simon Lohse & Stefano Canali - 2021 - European Journal for Philosophy of Science 11 (4):1-28.
    In this paper, we use the case of the COVID-19 pandemic in Europe to address the question of what kind of knowledge we should incorporate into public health policy. We show that policy-making during the COVID-19 pandemic has been biomedicine-centric in that its evidential basis marginalised input from non-biomedical disciplines. We then argue that in particular the social sciences could contribute essential expertise and evidence to public health policy in times of biomedical emergencies and that we should thus strive for (...)
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