Exploring Data Justice: Conceptions, Applications and Directions
Open accessAbstract
In May 2018 over 200 people from around the world met at Cardiff University in the United Kingdom to participate in a conference on ‘Data Justice’ hosted by the Data Justice Lab. They included scho...
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The problem of technical fragility affected multiple states in India, for instance causing violent demonstrations and vandalism of ration shop POS machines in Rajasthan.
“The problem of technical fragility emerged with particular visibility early in the Aadhaar-based PDS adoption process and affected multiple states in the nation, for instance in Rajasthan there were violent demonstrations and cases of vandalism of ration shop POS machines, motivated by people’s frustration with the malfunctions of the new system.9”
From Biometric Infrastructures and the Indian Public Distribution System (2020) · cites this paper as [9]
The citation lists haven’t been fetched yet
References 14 · Cited by 300
- Authors
- Dencik, L., Hintz, A., Redden, J., & Treré, E.
- Affiliations
- Cardiff University (GB)
- Corresponding author
- Dencik, Lina
- Venue
- Information, Communication & Society
- Publisher
- Informa UK Limited
- Published
- 2019-05-13
- Volume
- 22
- Issue
- 7
- Pages
- 873-881
- ISSN
- 1369-118X (ISSN-L)
- 1468-4462
- OpenAlex
- W2945268660
- Cited by
- 300
- References
- 14
- Citations by year
- 2026: 55 · 2025: 42 · 2024: 30 · 2023: 42 · 2022: 63 · 2021: 36 · 2020: 25 · 2019: 7
- FWCI
- 57.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Information Communication & Society (publishedVersion)
- Goldsmiths (University of London) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- European Research Council (759903)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
- Keywords
- data justice, data ethics, datafication, data governance, algorithmic fairness, social justice, research agenda
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
