Beadle, Kyle;
(2024)
The Possibilities of Data Resistance in a Digital Society.
(What are the possibilities of a good digital society?
).
British Academy: London, UK.
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Abstract
In our digital society, marginalised and vulnerable populations are unequally at risk of discrimination, surveillance, and lack of representation from the collection, analysis, and usage of their data. Instead of submitting to these consequences of our digital society, data resistance, or the subversive and productive act of responding to the power of corporate and governmental data practices, offers a way out. This paper presents acts of data resistance from across the globe to argue that a good digital society mirrors a good democratic society – one that supports individual and collective agency, autonomy, and empowerment, strengthens democratic values and promotes equality and justice, and stimulates market competition. The paper concludes with three, brief policy provocations, imposing a data tax, enabling participatory governance of data regulation, and establishing self-sovereign identity, all of which build upon the work of activists, academics, and artists dedicated to creating a better digital society.
| Type: | Working / discussion paper |
|---|---|
| Title: | The Possibilities of Data Resistance in a Digital Society |
| ISBN-13: | 978-0-85672-689-7 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5871/digital-society/9780856726897.001 |
| Publisher version: | https://www.thebritishacademy.ac.uk/publications/t... |
| Language: | English |
| Additional information: | Copyright © The author. This is an open access publication licensed under a Creative Commons Attribution-NonCommercialNoDerivs 4.0 International License. |
| Keywords: | data resistance; privacy harms; participatory governance |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10198715 |
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