Algorithms of oppression: how search engines reinforce racism
Safiya Umoja Noble
- Resource Type:
- Book (Print/Paper)
- Publication:
- New York : New York University Press, [2018]
- Copyright:
- ©2018
Availability
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More Details
- Summary:
- "In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem. Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, especially women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance"--Back cover.
- Table of Contents:
- Introduction: The power of algorithms
- A society, searching
- Searching for Black girls
- Searching for people and communities
- Searching for protections from search engines
- The future of knowledge in the public
- The future of information culture
- Conclusion: Algorithms of oppression.
- Author/Creator:
- Noble, Safiya Umoja , author
- Languages:
- English
- Language Notes:
- Item content: English
- General Notes:
- Includes bibliographical references (pages 201-217) and index.
- Physical Description:
- xv, 229 pages : illustrations, map ; 23 cm
- Call Numbers:
- ZA4230 .N63 2018
- ISBNs:
- 9781479837243 (paperback, alkaline paper)
1479837245 (paperback, alkaline paper)
9781479849949 (hardcover, alkaline paper)
1479849944 (hardcover, alkaline paper) - Library of Congress Control Numbers:
- 2017014187
- OCLC Numbers:
- 987591529