Uncertain archives : critical keywords for big data

著者

• Thylstrup, Nanna Bonde

書誌事項

Uncertain archives : critical keywords for big data

edited by Nanna Bonde Thylstrup ... [et al.]

The MIT Press, c2021

• : pbk

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BC00334070
• ISBN:
  • 9780262539883
• LCCN: 2020004704
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Cambridge, Mass.
• ページ数/冊数: xii, 624 p.
• 大きさ: 23 cm
• 分類:
  • LCC : CD931
  • DC23 : 027
• 件名:
  • LCSH : Big data -- Social aspects
  • LCSH : Archival resources -- Management
  • LCSH : Uncertainty (Information theory)