🤖 AI Summary
This paper addresses the contemporary applicability of Deleuze’s “society of control” thesis in the era of big data, interrogating how predictive technologies reconfigure the logic of power. Employing an interdisciplinary methodology that integrates philosophical critique, social theory, and empirical analysis of digital technology impacts, it demonstrates that contemporary control mechanisms have shifted from prohibitive discipline to pleasure-oriented, algorithmically mediated governance—where individuals voluntarily surrender personal data and engage in self-adjustment through personalized recommendations, credit scoring, and behavioral nudging. The study makes two key contributions: first, it conceptualizes “datafied self-discipline” as a novel paradigm of control; second, it identifies two endogenous resistance strategies—data obfuscation practices and algorithmic counter-training. By doing so, the paper not only updates Deleuze’s theoretical framework with empirically grounded insights but also uncovers actionable sites of resistance immanent within the very architecture of control.
📝 Abstract
In 1990, Gilles Deleuze published Postscript on the Societies of Control, an introduction to the potentially suffocating reality of the nascent control society. This thirty-year update details how Deleuze's conception has developed from a broad speculative vision into specific economic mechanisms clustering around personal information, big data, predictive analytics, and marketing. The central claim is that today's advancing control society coerces without prohibitions, and through incentives that are not grim but enjoyable, even euphoric because they compel individuals to obey their own personal information. The article concludes by delineating two strategies for living that are as unexplored as control society itself because they are revealed and then enabled by the particular method of oppression that is control.