Digital Monitoring of Socio-political Life: Main Directions of Development and Opportunities for Public Control
Yu. D. Artamonova ()
Outlines of global transformations: politics, economics, law, 2020
The article shows the evolution of the theoretical understanding of the â€œmonitoring revolutionâ€ , including the difference between the ideas of â€œpost-capitalismâ€ as the aestheticization and fascization of reality, heterotopia and divid (F. Jameson, J. Deleuze, F. Guattari), as well as the ideas of â€œcognitive capitalismâ€ and modern concepts of â€œplatform capitalismâ€ (N. Srnicek, G. Lovink), â€œcommunicative capitalismâ€ (S. Zizek, etc.). The article shows the fundamental differences between the monitoring model of the new digital society and the old Panopticon, primarily related to the formation of local and closed communities, the complexity of interaction between online and offline behavior and its assessments, the possibility of correcting the algorithm due to rapid changes in behavior patterns, as well as the ability of a person to â€œinteractâ€ consciously with the data collection and processing system for their own purposes. Two directions of digital monitoring are identified â€“ â€œnon-softâ€ and â€œsoftâ€ coer cion. In the first case, we are talking about the actual data collection and rewards for â€œdoing the right thingsâ€ , as in the version of the Chinese social credit system. The second is about creating a reality in which an individual can only act in a â€œsetâ€ way. It is emphasized that, contrary to forecasts, these systems do not develop along the path of â€œvirtualizationâ€ of reality, which implies a conscious, though predetermined choice, but along the path of influencing the brain, bypassing the symbolic. Based on the analysis, the main directions of possible public control of monitoring procedures are identified. These are, first, the problems of â€œlocalizationâ€ of platforms (territorial and other â€œbindingâ€ of them) and the development of the concept of â€œcitizen as userâ€ ; second, the differentiation of data classes to establish responsibility.
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Persistent link: https://EconPapers.repec.org/RePEc:ccs:journl:y:2020:id:621
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