Complex Ecologies of Trust in Data Practices and Data-driven Systems

Robin Steedman, Helen Kennedy, Rhianne Jones

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

Abstrakt

Trust in data practices and data-driven systems is widely seen as both important and elusive. A data trust deficit has been identified, to which proposed solutions are often localised or individualised, focusing either on what institutions can do to increase user trust in their data practices or on data management models that empower the individual user. Scholarship on trust often focuses on typologies of trust. This paper shifts the emphasis to those doing the trusting, by presenting findings from empirical research which explored user perspectives on the data practices of the BBC. These findings challenge the assumption that localised or individualised solutions can be effective. They also suggest that conceptualisations of trust in data practices need to account for the complex range of factors which come into play in relation to trust in data and so move beyond the production of typologies. In this paper, we propose the concept of ‘complex ecologies of trust’ as a way of addressing all of these issues.
OriginalsprogEngelsk
TidsskriftInformation, Communication & Society
Vol/bind23
Udgave nummer6
Sider (fra-til)817-832
Antal sider16
ISSN1369-118X
DOI
StatusUdgivet - 2020
Udgivet eksterntJa
BegivenhedThe 20th Annual Conference of the Association-of-Internet-Researchers. AoIR 2019 - Brisbane, Australien
Varighed: 2 okt. 20195 okt. 2019
Konferencens nummer: 20
https://aoir.org/aoir2019/

Konference

KonferenceThe 20th Annual Conference of the Association-of-Internet-Researchers. AoIR 2019
Nummer20
LandAustralien
ByBrisbane
Periode02/10/201905/10/2019
Internetadresse

Bibliografisk note

Published online: 8 April 2020

Emneord

  • Trust
  • Trustworthiness
  • Data
  • Data practices
  • Complex ecologies

Citationsformater