Description
| Product ID: | 9780262539883 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Uncertain Archives |
| Subtitle: | Critical Keywords for Big Data |
| Authors: | Author: Daniela Agostinho, Nanna Bonde Thylstrup |
| Page Count: | 656 |
| Subjects: | Information technology: general topics, Information technology: general issues |
| Description: | Select Guide Rating 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. |
| Imprint Name: | MIT Press |
| Publisher Name: | MIT Press Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2021-02-02 |
