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From hacking to simulation: Periodizing digitally-inspired social theory

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  • Palmås, Karl

Abstract

Interrogating the question of whether critique can be reimagined through inspiration from the world of digital computing and hacking, this article explores the work of four theorists who converged on that very topic in major texts published just after the turn of the millennium. Structured as a historical literature review, the article compares this body of theory with recent work by the same authors. The literature is, in turn, analyzed through the lens of a theoretical framework that stipulates that in any given “machinic era”, social theory tends to operationalize conceptual models abstracted from dominant technologies.

Suggested Citation

  • Palmås, Karl, 2019. "From hacking to simulation: Periodizing digitally-inspired social theory," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 105-112.
    • Handle: RePEc:eee:tefoso:v:145:y:2019:i:c:p:105-112
    DOI: 10.1016/j.techfore.2019.05.008
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    References listed on IDEAS

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    1. Heylighen, Francis, 2017. "Towards an intelligent network for matching offer and demand: From the sharing economy to the global brain," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 74-85.
    2. Heylighen, Francis & Lenartowicz, Marta, 2017. "The Global Brain as a model of the future information society: An introduction to the special issue," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 1-6.
    3. Roth, Steffen & Clark, Carlton & Trofimov, Nikolay & Mkrtichyan, Artur & Heidingsfelder, Markus & Appignanesi, Laura & Pérez-Valls, Miguel & Berkel, Jan & Kaivo-oja, Jari, 2017. "Futures of a distributed memory. A global brain wave measurement (1800–2000)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 307-323.
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