Data Turn and Datascape in Russia

Marina Shilina ()
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Marina Shilina: Plekhanov Russian University of Economics

A chapter in Internet in Russia, 2020, pp 171-195 from Springer

Abstract: Abstract This chapter presents the main features of developing data-driven processes in Russia and their social influence. First, the author analyses the development of the concept of Big Data in a multilevel theoretical framework. This approach serves as a methodological starting point to identify and differentiate this bio–socio–technological phenomenon in Russia (and beyond). The chapter presents a new theoretical concept for the datafied transformation of a capitalistic society, called a Data Turn. Thanks to the Data Turn as a universal theoretical framework, a holistic vision of data-driven relations is opening. A new concept of the data-driven divide is also presented. By describing the current Russian data landscape, the author emphasises the unique opportunities offered by various data-driven practices in a datafied society to open new social problems in their relevant use and research—especially in Russian data art projects, where data artists present their social worries and insights. The chapter finishes with a description of the main findings and future problems to be discussed.

Keywords: Big Data; Data Turn; Hybrid (corpo)reality; Quadro helix of Russian data-driven economy; Data-driven divide; Data ecology; Data art; Bifurcation point (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:socchp:978-3-030-33016-3_9

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DOI: 10.1007/978-3-030-33016-3_9

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