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Cited by 363Ethics and Social Impacts of AIE-Government and Public ServicesSmart Cities and Technologies

The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.

The challenges and limits of big data algorithms in technocratic governance

Janssen, Marijn, Kuk, George·2016·Government Information Quarterly
DOI 10.1016/j.giq.2016.08.011
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Crossref · 10.1016/j.giq.2016.08.011

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Research works printed but not linked: 2

  1. Barocas, 2016, Big Data's Disparate Impact (August 14, 2015), California Law Review, 104
  2. Sandvig, 2014, Seeing the Sort: The Aesthetic and Industrial Defense of “The Algorithm”, Journal of the New Media Causes

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Metadata

Authors
Janssen, M., & Kuk, G.
Affiliations
  • Delft University of Technology (NL)
  • Nottingham Trent University (GB)
Corresponding author
Janssen, Marijn
ORCID
Venue
Government Information Quarterly
Publisher
Elsevier BV
Published
2016-07
Volume
33
Issue
3
Pages
371-377
ISSN
0740-624X (ISSN-L)
DOI
10.1016/j.giq.2016.08.011
OpenAlex
W2527349292
Cited by
363
References
32
Citations by year
2026: 64 · 2025: 42 · 2024: 43 · 2023: 31 · 2022: 48 · 2021: 47 · 2020: 39 · 2019: 27 · 2018: 16 · 2017: 5 · 2016: 1
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Government Information Quarterly (publishedVersion)
  • Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Urban Studies › Smart Cities and Technologies
Keywords
big data algorithms, technocratic governance, algorithmic bias, algorithmic accountability, governmentality, algorithmic transparency, data curation, algorithmic discrimination, institutional logics, algorithmic governance

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