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Algorithms of Oppression: How Search Engines…
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Algorithms of Oppression: How Search Engines Reinforce Racism (edició 2018)

de Safiya Umoja Noble (Autor)

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4451247,592 (3.77)1
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.… (més)
Membre:yrthroat
Títol:Algorithms of Oppression: How Search Engines Reinforce Racism
Autors:Safiya Umoja Noble (Autor)
Informació:NYU Press (2018), Edition: Illustrated, 256 pages
Col·leccions:La teva biblioteca
Valoració:****
Etiquetes:Cap

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Algorithms of Oppression: How Search Engines Reinforce Racism de Safiya Umoja Noble (Author)

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Rating: 4.5* of five

The Publisher Says: 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.

I RECEIVED A DRC FROM THE PUBLISHER VIA EDELWEISS+. THANK YOU.

My Review
: The world, as the Internet has shaped it, took a promise of information access and educational opportunity unparalleled in human history and screwed it up to the point it reinforces the evils and stupidities it could so easily have alleviated.

The problem, it transpires, is both blindness..."*I* am no racist, or a sexist! Why, some of my best friends..." is not new, nor is it uncommon in any society...and neither is hubristic malevolence (Cambridge Analytica, for example). We're two decades in to a giant, uncontrolled social experiment. Voices like Author Noble's are still notable for their infrequence of prominence in the rarefied world of Congressional hearings and the European Union's creation of the GDPR.

The issues that Author Noble raises in this book need your attention. You, the searcher, are the product that Google and the other search engines are selling to earn their absurd, unconscionable, inadequately taxed profits. Every time you log on to the internet, Google knows...use other search engines, never click on any links, and Google still knows you're there. That's the Orwellian nightmare of it...like East Germany's Stasi, they're everywhere, in every website you visit. Unlike the Stasi, they are possessed of the capacity to quantify and analyze all the information you generate, and sell it to anyone who can use it. For you or against you, as long as the check clears, Google and its brethren couldn't care less.

(There are links to information sources in the blogged version of this review at Expendable Mudge Muses Aloud.) ( )
  richardderus | Apr 24, 2022 |
A thorough overview of the systematic biases in Google in particular, and many other web technologies in general, that adversely impact Black women in particular, and other marginalised groups in general. Because the general idea of this wasn't new to me some of the writing sometimes felt a bit repetitive but it was really good to have all the examples and the narrative tying it all together. And important that libraries don't get off scott-free, with biases embedded in their own classification systems! ( )
  zeborah | Feb 3, 2020 |
Although a solid summary of the larger problem of subtle bias in search engine results, this book promised much more in the way of explaining the source of that bias. Although the author recognizes and criticizes "the idea that it is not the search engine that is the problem but, rather, the users of search engines who are. It suggests that what is popular is simply what rises to the top of the search pile," she does not provide any information to distinguish between the two alternatives. She assumes that the problem is Google, and not Google users, without providing any foundation for that assumption, and frames the entire book in terms of this undefended conclusion. For example, she sees no difference between page results and query auto suggestions, but my understanding at least is that users are much more influential in the latter than the former.

I had hoped for some actual technical discussion of how page results are generated, and what aspects are under the control of Google and which are merely aggregating the preferences of actual users, but that never comes. It does not help that, for a book published in 2018, the bulk of her examples are ancient, often from 2011. The Internet, and Google with it, has changed drastically in the last seven years, but her discussion barely recognizes the fact. I suspect the first section of the book, with the very outdated examples, was the core of her 2012 dissertation, which has here been included with very little change or update. Later chapters attempt to bring in more recent issues, but they feel like quick glosses meant to fill out the need to expand the dissertation to book length, and lack the more serious consideration that went into the earlier section. In all honesty, she should have written an entirely new, current book rather than attempt to update the older material. She has the background to do that, but she is trapped by the confines of trying to publish the dissertation as is.

With more technical expertise, and data more contemporary to the date of publication, this could have been a more exciting contribution. Failing that, it is still interesting on the general points, if dusty and outmoded in the details. ( )
  dono421846 | Sep 23, 2019 |
Google as a fundamentally oppressive search engine, as expressed by the phrase in the introduction "technological redlining", noting especially Google's mistreatment of black women and girls in search results.

It's a scholarly work (for all of those limits). Readers will also like Bowker and Star's "Sorting Things Out: Classification and Its Consequences" (1999). ( )
  superpatron | Feb 25, 2019 |
Everyone should read this! ( )
  francesanngray | Feb 20, 2019 |
Es mostren 1-5 de 12 (següent | mostra-les totes)
In her book, Algorithms of Oppression: How Search Engines Reinforce Racism, which was published by New York University Press this month, Noble delves into the ways search engines misrepresent a variety of people, concepts, types of information and knowledge. Her aim: to get people thinking and talking about the prominent role technology plays in shaping our lives and our future.

afegit per superpatron | editaUSC Annenberg (Feb 16, 2018)
 

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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.

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