The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Datafying anti-poverty programmes: implications for data justice
Open accessAbstract
This paper seeks to illuminate the significance of datafication for anti-poverty programmes, meaning social protection schemes designed specifically for poor people. The conversion of beneficiary populations into machine-readable data enables two core functions of social protection, those of recognising entitled beneficiaries and assigning entitlements connected to each anti-poverty scheme. Drawing on the incorporation of Aadhaar, India’s biometric population database, in the national agenda for social protection, we unpack a techno-rational perspective that crafts datafication as a means to enhance the effectiveness of anti-poverty schemes. Nevertheless, narratives collected in the field show multiple forms of data injustice on recipients, underpinned by Aadhaar’s functionality for a shift of the social protection agenda from in-kind subsidies to cash transfers. Based on such narratives the paper introduces a politically embedded view of data, framing datafication as a transformative force that contributes to reforming existing anti-poverty schemes.
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In the citing paper
“First, as a datafier of the population of Indian residents, Aadhaar converts individual recipients of programs such as the PDS into machine-readable data.”
From Biometric Infrastructures and the Indian Public Distribution System (2020) · cites this paper as Masiero and Das 2019
In the citing paper
“By its own nature, this process allows the automatization of two functions of the scheme: the recognition of entitled vs. non-entitled users and the assignation of entitlements according to data (Masiero and Das 2019).”
From Biometric Infrastructures and the Indian Public Distribution System (2020) · cites this paper as Masiero and Das 2019
In the citing paper
“To our question of whether they would welcome a transition from the current in-kind subsidies to cash transfers, recipients provided quasi-unanimous negative responses, motivated by three main reasons.”
From Biometric Infrastructures and the Indian Public Distribution System (2020) · cites this paper as Masiero and Das 2019
In the citing paper
“A first limitation, of a legal nature, shows how the Aadhaar-based PDS—while remaining within the boundaries of constitutionality—confines access to enrolled residents, effectively subordinating the right-to-food to registration in a biometric identification scheme.”
From Biometric Infrastructures and the Indian Public Distribution System (2020) · cites this paper as Masiero and Das 2019
In the citing paper
“In terms of the informational aspect, the limitation lies in the incompleteness of information received by PDS beneficiaries on the transformative goal of Aadhaar.”
From Biometric Infrastructures and the Indian Public Distribution System (2020) · cites this paper as Masiero and Das 2019
In the citing paper
“A design-related limit relates to the finding that the Aadhaar-based PDS focuses on inclusion errors, while biometric recognition technology leaves exclusion errors unattended.”
From Biometric Infrastructures and the Indian Public Distribution System (2020) · cites this paper as Masiero and Das 2019
Citations
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Cited by
Sorted by citations
Social equity in the data era: A systematic literature review of data‐driven public service research
Ruijer, E. H. J. M., Porumbescu, G. A., Porter, R., & Piotrowski, S. J. (2022) · Public Administration Review · doi:10.1111/puar.13585 · Cited by 132
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Addo, A. (2022) · Journal of Information Technology · doi:10.1177/02683962221088333 · Cited by 87
Digital identity for development: The quest for justice and a research agenda
Masiero, S., & Bailur, S. (2021) · Information Technology for Development · doi:10.1080/02681102.2021.1859669 · Cited by 68
Self-citationTheorising Algorithmic Justice
Marjanovic, O., Ćećez-Kecmanović, D., & Vidgen, R. T. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1934130 · Cited by 82
Metadata
- Authors
- Masiero, S., & Das, S.
- Affiliations
- Loughborough University (GB)
- International Institute of Information Technology Bangalore (IN)
- Corresponding author
- Masiero, Silvia
- ORCID
- Masiero, Silvia
- Venue
- Information, Communication & Society
- Publisher
- Informa UK Limited
- Published
- 2019-05-13
- Volume
- 22
- Issue
- 7
- Pages
- 916-933
- ISSN
- 1369-118X (ISSN-L)
- 1468-4462
- OpenAlex
- W2946326213
- Cited by
- 103
- References
- 37
- Citations by year
- 2026: 12 · 2025: 5 · 2024: 11 · 2023: 9 · 2022: 41 · 2021: 12 · 2020: 11 · 2019: 2
- FWCI
- 28.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Information Communication & Society (publishedVersion, cc-by-nc-nd)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Development › Poverty, Education, and Child Welfare
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Keywords
- datafication, anti-poverty programmes, social protection, data justice, Aadhaar, biometric identification, cash transfers, India
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