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Algorithms, advertising and the intimacy of surveillance

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  • Minna Ruckenstein
  • Julia Granroth

Abstract

This article develops the notion of the intimacy of surveillance, a characteristic of contemporary corporate marketing and dataveillance fueled by the accumulation of consumers’ economically valuable digital traces. By focusing on emotional reactions to targeted advertisements, we demonstrate how consumers want contradictory things: they oppose intrusive and creepy advertising based on tracking their activities, yet expect more relevant real-time analysis and probabilistic predictions anticipating their needs, desires, and plans. The tension between the two opposing aspects of corporate surveillance is crucial in terms of the intimacy of surveillance: it explains how corporate surveillance that is felt as disturbing can co-exist with pleasurable moments of being ‘seen’ by the market. The study suggests that the current situation where social media users are trying to comprehend, typically alone with their devices, what is going on in terms of continuously changing algorithmic systems, is undermining public culture. This calls for collective responses to the shared pleasures and pains while living alongside algorithms. The everyday distress and paranoia to which users of social media are exposed is an indicator of failed social arrangements in need of urgent repair.

Suggested Citation

  • Minna Ruckenstein & Julia Granroth, 2020. "Algorithms, advertising and the intimacy of surveillance," Journal of Cultural Economy, Taylor & Francis Journals, vol. 13(1), pages 12-24, January.
  • Handle: RePEc:taf:jculte:v:13:y:2020:i:1:p:12-24
    DOI: 10.1080/17530350.2019.1574866
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    Cited by:

    1. Chou, Yixuan & Tang, Wenjin, 2023. "Corporate advertising expense and share price synchronization," Finance Research Letters, Elsevier, vol. 56(C).
    2. Ash Watson & Deborah Lupton, 2022. "What Happens Next? Using the Story Completion Method to Surface the Affects and Materialities of Digital Privacy Dilemmas," Sociological Research Online, , vol. 27(3), pages 690-706, September.

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