Uncertain Archives: Critical Keywords for Big Data
| PUBLISHER | MIT Press (02/02/2021) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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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Product Format
Product Details
ISBN-13:
9780262539883
ISBN-10:
0262539888
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
656
Carton Quantity:
10
Product Dimensions:
6.00 x 1.10 x 8.90 inches
Weight:
1.49 pound(s)
Feature Codes:
Bibliography,
Index,
Price on Product,
Glossary,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Social Aspects
Computers | Media Studies
Computers | Social Aspects
Dewey Decimal:
027
Library of Congress Control Number:
2020004704
Descriptions, Reviews, Etc.
publisher marketing
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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Your Price
$54.45