Uncertain archives

by Nanna Bonde Thylstrup | 22 January 2021
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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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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.
Quantity:
In stock online
Extended Range: Delivery in 2-3 working days
Free Delivery on this item
226 Reward Points

Any purchases for more than €10 are eligible for free delivery anywhere in the UK or Ireland!

€75.40
In stock online
Extended Range: Delivery in 2-3 working days
Free Delivery on this item
Quantity:
226 Reward Points

Any purchases for more than €10 are eligible for free delivery anywhere in the UK or Ireland!

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