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Digital (mis)trust: ethnographic encounters with computational forms.

James Maguire1, Kristoffer Albris2

  • 1IT University of Copenhagen, Technologies in Practice Research Group, Copenhagen, Denmark.

Journal of Cultural Economy
|November 29, 2024
PubMed
Summary
This summary is machine-generated.

Computational forms in social life mediate trust and mistrust. These issues are complex, mutable social forms, not problems to be solved by technology.

Keywords:
Trustcomputationaldigitalmachinicmistrustmutations

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Area of Science:

  • Social Sciences
  • Computer Science
  • Digital Humanities

Background:

  • Computational forms (practices, logics, technologies, infrastructures) play a significant role in social life.
  • Issues of trust and mistrust, collectively termed (mis)trust, are central to understanding these computational forms.
  • Existing approaches often view trust and mistrust as antonymic and solvable.

Purpose of the Study:

  • To explore the multifaceted role of computational forms in mediating (mis)trust within social contexts.
  • To analyze how (mis)trust is conceptualized, narrated, and designed for by various actors.
  • To challenge the notion that (mis)trust can be solved or eradicated through technological means.

Main Methods:

  • Ethnographic encounters and case studies across diverse settings.
  • Analysis of computational thinking in democratic election discourses.
  • Examination of computational technologies in bureaucratic systems.
  • Investigation of computational practices in subjectivity production and data circulation.

Main Results:

  • (Mis)trust is actively rendered as a concern and shaped through design and discourse.
  • Computational thinking and technologies are integral to establishing order and assuring data flow.
  • The study reveals the dynamic and mutable relationship between trust and mistrust.
  • Technosolutionist approaches fail to resolve or eliminate (mis)trust.

Conclusions:

  • Trust and mistrust exist in a mutable, intertwined relation, not as opposites.
  • Computational forms continuously shape and are shaped by social (mis)trust.
  • Understanding (mis)trust requires moving beyond simplistic, solvable frameworks to embrace its persistent, evolving nature.