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Published in 7th Workshop on Inclusive Privacy and Security (WIPS) - USENIX Symposium on Usable Privacy and Security (SOUPS), 2023
By synthesizing over 40 years of developments in the analysis of surveillance, we derive properties of online communities that enable the abuse of user data by fellow community members and suggest key steps to improving security for vulnerable users. Deploying this new framework on new and existing platforms will ensure that online communities are privacy-conscious and designed more inclusively.
Recommended citation: Beadle, Kyle and Vasek, Marie. (2023). "Peer Surveillance in Online Communities." USENIX Symposium on Usable Privacy and Security (SOUPS) 2023. http://kylebeadle.com/files/2023wips.pdf
Published in The British Academy, 2024
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.
Recommended citation: Beadle, Kyle. (2024). "The Possibilities of Data Resistance in a Digital Society." The British Academy. http://kylebeadle.com/files/2024ba.pdf
Published:
Graduate Course, UCL, Department of Computer Science, 2023
Undergraduate Course, UCL, Department of Computer Science, 2024