Uncertain Archives: Critical Keywords for Big Data

Uncertain Archives: Critical Keywords for Big Data

Nanna Bonde Thylstrup, Daniela Agostinho, Annie Ring, Catherine D'Ignazio, Kristin Veel
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Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability.
This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
Categorias:
Ano:
2021
Editora:
The MIT Press
Idioma:
english
Páginas:
656
ISBN 10:
0262539888
ISBN 13:
9780262539883
Arquivo:
EPUB, 4.40 MB
IPFS:
CID , CID Blake2b
english, 2021
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