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Beaulieu, A., & Leonelli, S. (2021). Data and society. A critical introduction. Sage. The book is also available as a preprint at , but page numbering differs from the print version. The book is available at Göteborgs universitetsbibliotek for articles copies.

Selected chapters:
Chapter 1, pp. 3-14
Chapter 3, pp. 35-50
Chapter 4, pp. 51-64

Davies, T., & Frank, M. (2013). “There’s no such thing as raw data”. Exploring the socio-technical life of a government dataset. Web 91̽�� 2013.

Price, D. (2024). Becoming objective: an ethnography of COVID-19 data on the move. Human Organization,��83(2), 183–193.

Zhou, M., Abhishek, V., Derdenger, T., Kim, J., & Srinivasan, K. (2024). Bias in Generative AI. arXiv.

Bender, E. M., Gebru, T., McMillan-Major, A., & Mitchell, M. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21) (pp. 610–623). Association for Computing Machinery.

Dencik, L., Hintz, A., Redden, J., & Treré, E. (2019). Exploring Data Justice: Conceptions, Applications and Directions. Information, Communication & Society, 22(7), 873–881.

de Souza, S. P. (2025). Can data justice be global? Exploring the practice of digital rights, and the search for cognitive data justice. Information, Communication & Society, 28(6), 1006–1022.

Kalluri, P.R., Agnew, W., Cheng, M. et al. (2025)* *Computer-vision research powers surveillance technology. *Nature* 643, 73–79.

Verhulst, S., Chafetz, H., & Zahuranec, A. (2024). Data Commons: Under Threat by or The Solution for a Generative AI Era? Rethinking data access and re-use. Available at SSRN: or

Couldry, N., & Ubayasiri, K. (2025). Through thick and thin: Data commons, community and the struggle for collective data governance. Technology and Regulation, 2025, 114–136.

Murray, Elena and Shaikh, Moiz Raja and Verhulst, Stefaan and Dosh, Hinali and Leapciuc, Romeo and Mamutalieva, Perizat and Tunga, Mahadia, Who Decides What and How Data is Re-Used? Lessons Learned from Youth-Led Co-Design for Responsible Data Reuse in Services (March 31, 2025). Available at SSRN: ���ǰ���