Algorithms of Oppression

How Search Engines Reinforce Racism

No cover

Shayna Small, Safiya Umoja Noble: Algorithms of Oppression (AudiobookFormat, Audible Studios on Brilliance, Audible Studios on Brilliance Audio)

mp3 cd

English language

Published by Audible Studios on Brilliance, Audible Studios on Brilliance Audio.

ISBN:
978-1-7213-0723-4
Copied ISBN!

View on OpenLibrary

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"-what will you find? "Big Booty" and 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 and 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, 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 …

3 editions

A Mostly Timeless Classic

This book is already a classic in the technology ethics literature, and despite the fading of search engine bias from the public consciousness the lessons Noble draws out unfortunately remain widely applicable. The appeal to black box algorithms as a neutral arbiter of authority has only increased since this book's publication, and Noble vividly demonstrates how many factors - from the biases of developers, to the inherently subjective and normative nature of quality metrics and interface design, to the data used to train the algorithms - can bring algorithmic outputs to a very dark, racist place. The implications of that are also examined, with the amplification, scaling up, and ossification of current biases being a huge concern. Highly recommend

avatar for bwaber@bookwyrm.social

rated it