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Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practic...|View full journal description

Committee on Publication Ethics (COPE) member journal.

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Articles most recently published online for this journal.

Open accessResearch articleFirst published 2026-06-01
Legitimacy practices,algorithms,and the new bureaucratic quantification
Amina A. AbduORCIDAbigail Z. JacobsORCID
Open accessResearch articleFirst published 2026-06-01
Artificial intelligence,conceptions of distillation and the reframing of reasoning
David BeerORCIDBenjamin N JacobsenORCID
Open accessResearch articleFirst published 2026-06-01
‘You can’t put the cat back in the bag once it's out’: Australians’ understandings,practices and imaginaries concerning generative AI
Deborah LuptonORCIDBronwyn Bailey-CharterisORCID
Open accessResearch articleFirst published 2026-06-01
Making machine learning good enough – studying the political endeavour of finding ‘right’ metrics and thresholds
Anna Schjøtt HansenORCIDTobias BlankeORCID

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Legitimacy practices,algorithms,and the new bureaucratic quantification

Artificial intelligence,conceptions of distillation and the reframing of reasoning

‘You can’t put the cat back in the bag once it's out’: Australians’ understandings,practices and imaginaries concerning generative AI

Making machine learning good enough – studying the political endeavour of finding ‘right’ metrics and thresholds