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  1. The old in the new: Voter surveillance in political clientelism and datafied campaigning.Isabel Kusche - 2020 - Big Data and Society 7 (1).
    This article compares political clientelism and datafied campaigning as two modes of relating politicians/parties and voters that are centred around voter surveillance. It contributes to the discussion on consequences of Big Data by showing similarities of datafied campaigns with a type of electoral politics that pre-dates the advent of mass media and is usually regarded as deficient. It thus departs from the predominant perspective on datafication and surveillance, which draws on Foucault, in order to identify the particular challenges that datafication (...)
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  • Digital, politics, and algorithms: Governing digital data through the lens of data protection.Rocco Bellanova - 2017 - European Journal of Social Theory 20 (3):329-347.
    Many actors mobilize the cognitive, legal and technical tool-box of data protection when they discuss and address controversial issues such as digital mass surveillance. Yet, critical approaches to the digital only barely explore the politics of data protection in relation to data-driven governance. Building on governmentality studies and Actor-Network-Theory, this article analyses the potential and limits of using data protection to critique the ‘digital age’. Using the conceptual tool of dispositifs, it sketches an analytics of data protection and the emergence (...)
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  • Politics of prediction: Security and the time/space of governmentality in the age of big data.Tobias Blanke & Claudia Aradau - 2017 - European Journal of Social Theory 20 (3):373-391.
    From ‘connecting the dots’ and finding ‘the needle in the haystack’ to predictive policing and data mining for counterinsurgency, security professionals have increasingly adopted the language and methods of computing for the purposes of prediction. Digital devices and big data appear to offer answers to a wide array of problems of (in)security by promising insights into unknown futures. This article investigates the transformation of prediction today by placing it within governmental apparatuses of discipline, biopower and big data. Unlike disciplinary and (...)
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