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Uncertain archives : critical keywords for big data / edited by Nanna Bonde Thylstrup [and four others].
- Format:
- Book
- Language:
- English
- Subjects (All):
- Uncertainty (Information theory).
- Archival resources--Management.
- Archival resources.
- Big data--Social aspects.
- Big data.
- Physical Description:
- 1 online resource e (xii, 624 pages) : illustrations (some color)
- Place of Publication:
- Cambridge, Massachusetts : The MIT Press, [2021]
- Summary:
- 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.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 0-262-36127-2
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