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  1. Privacy at risk? Understanding the perceived privacy protection of health code apps in China.Wenhong Chen, An Hu & Gejun Huang - 2022 - Big Data and Society 9 (2).
    As a key constituent of China's approach to fighting COVID-19, Health Code apps (HCAs) not only serve the pandemic control imperatives but also exercise the agency of digital surveillance. As such, HCAs pave a new avenue for ongoing discussions on contact tracing solutions and privacy amid the global pandemic. This article attends to the perceived privacy protection among HCA users via the lens of the contextual integrity theory. Drawing on an online survey of adult HCA users in Wuhan and Hangzhou (...)
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  • Digital phenotyping and the (data) shadow of Alzheimer's disease.Natassia Brenman, Alessia Costa & Richard Milne - 2022 - Big Data and Society 9 (1).
    In this paper, we examine the practice and promises of digital phenotyping. We build on work on the ‘data self’ to focus on a medical domain in which the value and nature of knowledge and relations with data have been played out with particular persistence, that of Alzheimer's disease research. Drawing on research with researchers and developers, we consider the intersection of hopes and concerns related to both digital tools and Alzheimer's disease using the metaphor of the ‘data shadow’. We (...)
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  • Digital contact tracing in the pandemic cities: Problematizing the regime of traceability in South Korea.Chamee Yang - 2022 - Big Data and Society 9 (1).
    Since 2020, many countries worldwide have deployed digital contact tracing programs that rely on a range of digital sensors in the city to locate and map the routes of viral spread. Many critical commentaries have raised concerns about the privacy risks and trustworthiness of these programs. Extending these analyses, this paper opens up a different line of questioning that goes beyond privacy-centered single-axis critique of surveillance by considering digital contact tracing symptomatic of the broader changes in modes of urban governance (...)
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  • Seeing Like a State, Enacting Like an Algorithm: (Re)assembling Contact Tracing and Risk Assessment during the COVID-19 Pandemic.Chuncheng Liu - 2022 - Science, Technology, and Human Values 47 (4):698-725.
    As states increasingly use algorithms to improve the legibility of society, particularly during the COVID-19 pandemic, it is common for concerns about the expanding power of the algorithm or the state to be raised in a deterministic manner. However, how are the algorithms for states’ legibility projects enacted, contested, and reconfigured? Drawing on interviews and media data, this study fills this gap by examining Health Code, the Chinese contact tracing and risk assessment algorithmic system that serves as the COVID-19 health (...)
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  • Accounting for “the social” in contact tracing applications: The paradox between public health governance and mistrust of government's data use.Yao-Tai Li - 2021 - Big Data and Society 8 (2).
    This essay adopts three accounts of “the social” to get a clearer picture of why there is a barrier faced by the government when implementing contact tracing mobile applications. In Hong Kong's context, the paradox involves declining trust of the government's protection of data privacy and growing concern about data surveillance since the 2019 social unrest I argue that exploring the idea of sociality is valuable in that it re-reconfigures the datafication of pandemic control by revealing different sets of social (...)
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