Big Data

Author:

Kappler Karolin Eva

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Anderson, Chris. 2008. The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired. https://www.wired.com/2008/06/pb-theory/. Zugegriffen am 20.02.2022.

2. Bender, Emily M., Timnit Gebru, Angelina McMillan-Major und Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623.

3. Boellstorff, Tom. 2013. Making big data, in theory. First Monday 18(10).

4. Boyd, Danah, und Kate Crawford. 2011. Six Provocations for Big Data. Oxford Internet Institute’s “A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society”. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1926431. Zugegriffen am 11.05.2020.

5. Crawford, Kate. 2021. Atlas of AI. Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven. London: Yale University Press.

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