Rychwalska, Agnieszka;
Goodell, Geoffrey;
Roszczynska-Kurasinska, Magdalena;
(2021)
Data Management for Platform-Mediated Public Services: Challenges and Best Practices.
Surveillance & Society
, 19
(1)
pp. 22-36.
10.24908/ss.v19i1.13986.
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Abstract
Data harvesting and profiling have become a de facto business model for many businesses in the digital economy. The surveillance of individual persons through their use of private sector platforms has a well-understood effect on personal autonomy and democratic institutions. In this article, we explore the consequences of implementing data-rich services in the public sector and, specifically, the dangers inherent to undermining the universality of the reach of public services, the implicit endorsement of the platform operators by the government, and the inability of members of the public to avoid using the platforms in practice. We propose a set of good practices in the form of design principles that infrastructure services can adopt to mitigate the risks, and we specify a set of design primitives that can be used to support the development of infrastructure that follows the principles. We argue that providers of public infrastructure should adopt a practice of critical assessment of the consequences of their technology choices.
| Type: | Article |
|---|---|
| Title: | Data Management for Platform-Mediated Public Services: Challenges and Best Practices |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.24908/ss.v19i1.13986 |
| Publisher version: | https://doi.org/10.24908/ss.v19i1.13986 |
| Language: | English |
| Additional information: | Creative Commons License Surveillance & Society uses a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. The author. The author licenses the article to the Surveillance Studies Network (SSN) for inclusion in Surveillance & Society (S&S), right of first publication. The copyright to the article remains with the author and any subsequent commercial reuse must be agreed by both parties. Non-commercial Users. SSN authorises all persons to use material published in S&S in any manner that is not primarily intended for or directed to commerical advantage or private monetary compensation, also provided that it is not modified and retains all attribution notices. Commercial Users. SSN retains the right to benefit from commerical reuse, in each specific case subject to the agreement of the author, and payment to SSN of a standard per-page fee (set by a vote of the Network and Editorial Board) by the Commercial User. Surveillance & Society supports open access archives and the free distribution of the results of academic work. Authors are encouraged to place copies of the final published version of their article in their university and / or other open access archives. We only ask that you make sure to include a link to the original published version on the Surveillance & Society website. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10160724 |
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