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

Nanna Bonde Thylstrup, Daniela Agostinho, Annie Ring, Kristin Veel, Catherine D'Ignazio

edited by Nanna Bonde Thylstrup [et al.]

Thylstrup, Nanna Bonde, editor

Cambridge, Massachusetts: The MIT Press

Cambridge, Mass, London, United States, 2021

United States, United States of America

Указ.: 597-624
Библиогр. в конце ст.

РГБ

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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 groundbreaking work offers an interdisciplinary perspective on big data and the archives they accrue, interrogating key terms. Scholars from a range of disciplines analyze concepts relevant to critical studies of big data, arranged glossary stylefrom abuse and aggregate to visualization and vulnerability. They not only challenge conventional usage of such familiar terms as prediction and objectivity but also introduce such unfamiliar ones as overfitting and copynorm . The contributors include a broad range of leading and agenda-setting scholars, including as N. Katherine Hayles, Wendy Hui Kyong Chun, Johanna Drucker, Lisa Gitelman, Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
Uncertainty is inherent to archival practices; the archive as a site of knowledge is fraught with unknowns, errors, and vulnerabilities that are present, and perhaps even amplified, in big data regimes. Bringing lessons from the study of the archive to bear on big data, the contributors consider the broader implications of big data's large-scale determination of knowledge.

xii, 624 pages : 23 cm
"The ambition of this book is to examine in close detail the whole range of epistemological, political and ethical uncertainties that are being raised by big data in our time"--
Includes bibliographical references and index

"The ambition of this book is to examine in close detail the whole range of epistemological, political and ethical uncertainties that are being raised by big data in our time"-- Provided by publisher

2024-07-01