Algorithms of Oppression: How Search Engines Reinforce...

Algorithms of Oppression: How Search Engines Reinforce Racism

Safiya Umoja Noble
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A revealing look at how negative biases against women of color are embedded in search engine results & algorithms  

Run a Google search for “black girls”—what will you find? “Big Booty” & other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls,” the results are radically different. The suggested porn sites & un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. 

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, & 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 & discriminate against people of color, specifically women of color

Through an analysis of textual & media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism & sexism in the way discoverability is created online. As search engines & their related companies grow in importance—operating as a source for email, a major vehicle for primary & secondary school learning, & beyond—understanding & reversing these disquieting trends & discriminatory practices is of utmost importance.  

An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, & disseminated in the 21st century.

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عام:
2018
الناشر:
NYU Press
اللغة:
english
الصفحات:
256
ISBN 10:
1479849944
ISBN 13:
9781479849949
ملف:
EPUB, 4.61 MB
IPFS:
CID , CID Blake2b
english, 2018
تحميل (epub, 4.61 MB)
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