skip to main content
research-article

Reversal, Disconnect, and Proposition: Noise and Data Politics in the Work of Julian Oliver and Trevor Paglen

Authors Info & Claims
Published:02 August 2021Publication History
Skip Abstract Section

Abstract

This paper examines the potential countertactics of contemporary interactive media art to interrogate the data-mining practices that encode the everyday and exploit user data in the big data economy. It argues that noise is the "other" of information, a way to counter the operation of turning the world into data commodities. Through a Brechtian methodology informed by philosophy and critical theories of media and technology, the paper suggests that amplifying the "noise" of the digital media assemblages deviates from their everyday normative functions and estranges our relationship to them, inviting critical ways of understanding, relating to, and engaging these ubiquitous systems. All three noted artworks destabilize the protocols of data-mining to examine data politics. Specifically, the paper looks at three different tactics that amplify the "noise" of digital culture in different ways: reversing roles, disconnecting, and proposing viable alternatives.

Skip Supplemental Material Section

Supplemental Material

References

  1. Nicole Aschoff. (2020, November 17). Silicon Valley and the Future of Capitalism. https://www.youtube.com/watch?v=FYKfi1DBivg&ab_channel=UBCSchoolofPublicPolicyandGlobalAffairsGoogle ScholarGoogle Scholar
  2. Bertolt Brecht. 1964. Brecht on Theatre: The Development of an Aesthetic. New York, NY: Hill and Wang.Google ScholarGoogle Scholar
  3. Julia Bryan-Wilson, Lauren Cornell, Omar Kholeif, and Trevor Paglen. 2018. Trevor Paglen. New York, NY: Phaidon Press.Google ScholarGoogle Scholar
  4. Manuel Castells. 2010. The Rise of the Network Society. Oxford, UK: Wiley-Blackwell.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Andrew Feenberg. 1999. Questioning Technology. New York, NY: Routledge.Google ScholarGoogle Scholar
  6. Christian Fuchs. 2017. Social Media: A Critical Introduction (2nd ed.). London, UK: Sage.Google ScholarGoogle Scholar
  7. Alexander R. Galloway and Mohammad Salemy. 2013. The question of interface. Fillip, 18.Google ScholarGoogle Scholar
  8. Baruch Gottlieb. 2018. Digital Materialism. London, UK: Sage.Google ScholarGoogle Scholar
  9. Martin Heidegger. 1962. Being and Time. London, UK: SCM Press.Google ScholarGoogle Scholar
  10. John Jacob, Wendy Chun, Kate Crawford, and Luke Skrebowski. 2018. Trevor Paglen: Sites Unseen. Washington, DC: Smithsonian American Art Museum.Google ScholarGoogle Scholar
  11. Colin Koopman. 2019. How We Became Our Data: A Genealogy of the Informational Person. Chicago, IL: University of Chicago Press.Google ScholarGoogle Scholar
  12. Marshall McLuhan. 1966. The Relationship of Environment to Anti-Environment. University of Windsor Review, 2(1), 1--10.Google ScholarGoogle Scholar
  13. Ulises Ali Mejias. 2013. Off the Network: Disrupting the Digital World. Minneapolis, MN: University of Minnesota Press.Google ScholarGoogle Scholar
  14. Joseph Nechvatal. 2011. Immersion into Noise. Ann Arbor, MI: Open Humanities Press.Google ScholarGoogle Scholar
  15. Safiya Umoja Noble. 2018. Algorithms of Oppression. New York, NY: NYU Press.Google ScholarGoogle Scholar
  16. Julian Oliver, Gordan Savičić, and Danja Vasiliev. 2011. The Critical Engineering Manifesto. Retrieved from https://criticalengineering.org/ce.pdfGoogle ScholarGoogle Scholar
  17. Claude Shannon. 1948. A mathematical theory of communication. The Bell System Technical Journal 27, 379--423.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Nick Srnicek. 2016. Platform Capitalism. Oxford, UK: Polity Press.Google ScholarGoogle Scholar
  19. Hito Steyerl. 2014. Proxy politics: Signal and Noise. e-flux 60. Retrieved from http://www.e-flux.com/journal/proxy-politics/Google ScholarGoogle Scholar
  20. Shoshana Zuboff. 2019. The Age of Surveillance Capitalism. The Fight for a Human Future at the New Frontier of Power. New York, NY: Public Affairs.Google ScholarGoogle Scholar

Index Terms

  1. Reversal, Disconnect, and Proposition: Noise and Data Politics in the Work of Julian Oliver and Trevor Paglen

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image Proceedings of the ACM on Computer Graphics and Interactive Techniques
        Proceedings of the ACM on Computer Graphics and Interactive Techniques  Volume 4, Issue 2
        July 2021
        128 pages
        EISSN:2577-6193
        DOI:10.1145/3479233
        Issue’s Table of Contents

        Copyright © 2021 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 August 2021
        Published in pacmcgit Volume 4, Issue 2

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed
      • Article Metrics

        • Downloads (Last 12 months)44
        • Downloads (Last 6 weeks)6

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format