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  1. Viral Data.Matthew Zook & Agnieszka Leszczynski - 2020 - Big Data and Society 7 (2).
    We are experiencing a historical moment characterized by unprecedented conditions of virality: a viral pandemic, the viral diffusion of misinformation and conspiracy theories, the viral momentum of ongoing Hong Kong protests, and the viral spread of #BlackLivesMatter demonstrations and related efforts to defund policing. These co-articulations of crises, traumas, and virality both implicate and are implicated by big data practices occurring in a present that is pervasively mediated by data materialities, deeply rooted dataist ideologies that entrench processes of datafication as (...)
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  • Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic.Ricardo Vinuesa & Wim Naudé - 2021 - Big Data and Society 8 (2).
    This paper draws lessons from the COVID-19 pandemic for the relationship between data-driven decision making and global development. The lessons are that users should keep in mind the shifting value of data during a crisis, and the pitfalls its use can create; predictions carry costs in terms of inertia, overreaction and herding behaviour; data can be devalued by digital and data deluges; lack of interoperability and difficulty reusing data will limit value from data; data deprivation, digital gaps and digital divides (...)
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  • Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study.Sally Sheard, Roberto Vivancos, Alex Singleton, Henrdramoorthy Maheswaran, Emily Dearden, Andrew Davies, John Tulloch, Patricia Rossini, Andrew Morse, Chris Kypridemos, Frances Darlington Pollock, Darren Charles, Francisco Rowe, Elena Musi & Mark Green - 2021 - Big Data and Society 8 (1).
    COVID-19 is unique in that it is the first global pandemic occurring amidst a crowded information environment that has facilitated the proliferation of misinformation on social media. Dangerous misleading narratives have the potential to disrupt ‘official’ information sharing at major government announcements. Using an interrupted time-series design, we test the impact of the announcement of the first UK lockdown on short-term trends of misinformation on Twitter. We utilise a novel dataset of all COVID-19-related social media posts on Twitter from the (...)
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  • Materialities of digital disease control in Taiwan during COVID-19.Sung-Yueh Perng - 2022 - Big Data and Society 9 (1).
    During the course of the COVID-19 pandemic, a wide range of digital technologies and data analytics have been incorporated into pandemic response models globally, in the hope of better detecting, tracking, monitoring and containing outbreaks. This increased digital involvement in disease control has offered the prospect of heightened effectiveness in all of the above, but not without raising other concerns. This paper contributes to ongoing discussions of the digital transformation in disease control by proposing a materialist analysis of how such (...)
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  • Techno-solutionism and the standard human in the making of the COVID-19 pandemic.Stefania Milan - 2020 - Big Data and Society 7 (2).
    Quantification is particularly seductive in times of global uncertainty. Not surprisingly, numbers, indicators, categorizations, and comparisons are central to governmental and popular response to the COVID-19 pandemic. This essay draws insights from critical data studies, sociology of quantification and decolonial thinking, with occasional excursion into the biomedical domain, to investigate the role and social consequences of counting broadly defined as a way of knowing about the virus. It takes a critical look at two domains of human activity that play a (...)
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