As seen in Wired and Time

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms.
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, specifically 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.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, and disseminated in the 21st century.

Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism

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• Computers & TechnologyTech Culture & Computer LiteracySocial Aspects
• Politics & Social SciencesSocial SciencesSpecial GroupsAfrican American Studies

• Publication Date: January 8, 2018
• Text-to-Speech: Enabled
• Lending: Disabled
• Print Length: 245 Pages
• File Size: 6,416 KB