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Uncertain Archives: Critical Keywords for Big Data
Paperback

Uncertain Archives: Critical Keywords for Big Data

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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.

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MORE INFO
Format
Paperback
Publisher
MIT Press Ltd
Country
United States
Date
2 February 2021
Pages
656
ISBN
9780262539883

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.

Read More
Format
Paperback
Publisher
MIT Press Ltd
Country
United States
Date
2 February 2021
Pages
656
ISBN
9780262539883