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Algorithms of Oppression

How Search Engines Reinforce Racism

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Algorithms of Oppression

By: Safiya Umoja Noble
Narrated by: Shayna Small
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About this listen

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 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.

PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.

©2018 New York University (P)2018 Audible, Inc.
African American Studies Americas Engineering Gender Studies History & Culture Programming & Software Development Racism & Discrimination Social Sciences Software Development & Engineering Specific Demographics Technology & Society United States Technology Discrimination Social justice Software Development Software Capitalism Equality Socialism Human Rights
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Everyone should be aware of the algorithmic bias that exists everywhere, and how it’s exponentially present in big tech

What an eye opener!

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i’m not going to lie, this book was difficult to listen to, but i’m glad i did as the testimony at the end is really important- however the main argument of the book, which i agree with, was repetitive and had the book included more case studies like the hairdresser on yelp it would have been more compelling

important topic and powerful testimony at end

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Some interesting parts. The book highlights many problems and issues that seem much more societal than algorithmic. I found it hard to listen to the whole thing because of the strong ideological position of the author. My wife is a different nationality to me and we have two kids. I can't conceive of viewing everything in our relationship through the lens of critical race theory; whereas this book does. The interview at the end with the hairdresser was very powerful and is worth listening to. The author read the book very well, but the content was frustrating. I have a lot to reflect on after listening to this. The big question I have is what is the end goal? What should companies do to be ethical and equitable?

I regret buying this book, but not listening to it

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In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.