Algorithms of Oppression : How Search Engines Reinforce Racism
Saved in:
| Title: | Algorithms of Oppression : How Search Engines Reinforce Racism |
|---|---|
| Description: | 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. |
| Authors: | Safiya Umoja Noble |
| Resource Type: | eBook. |
| Subjects: | Search engines--Sociological aspects, Discrimination, Internet searching--Social aspects, Computer algorithms--Social aspects, Algorithms--Social aspects |
| Categories: | COMPUTERS / Social Aspects, COMPUTERS / Internet / Search Engines, SOCIAL SCIENCE / Discrimination, SOCIAL SCIENCE / Race & Ethnic Relations |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 1497317 RelevancyScore: 1084 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1083.55249023438 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$1497317$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$1497317$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Algorithms of Oppression : How Search Engines Reinforce Racism – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Safiya+Umoja+Noble%22">Safiya Umoja Noble</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Search+engines--Sociological+aspects%22">Search engines--Sociological aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Discrimination%22">Discrimination</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+searching--Social+aspects%22">Internet searching--Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+algorithms--Social+aspects%22">Computer algorithms--Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms--Social+aspects%22">Algorithms--Social aspects</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Social+Aspects%22">COMPUTERS / Social Aspects</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Internet+%2F+Search+Engines%22">COMPUTERS / Internet / Search Engines</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Discrimination%22">SOCIAL SCIENCE / Discrimination</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Race+%26+Ethnic+Relations%22">SOCIAL SCIENCE / Race & Ethnic Relations</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1497317 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 025.04252 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Search engines--Sociological aspects Type: general – SubjectFull: Discrimination Type: general – SubjectFull: Internet searching--Social aspects Type: general – SubjectFull: Computer algorithms--Social aspects Type: general – SubjectFull: Algorithms--Social aspects Type: general Titles: – TitleFull: Algorithms of Oppression : How Search Engines Reinforce Racism Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Safiya Umoja Noble – PersonEntity: Name: NameFull: Safiya Umoja Noble IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2018 – D: 20 M: 02 Type: profile Y: 2018 Identifiers: – Type: isbn-print Value: 9781479849949 – Type: isbn-electronic Value: 9781479833641 Titles: – TitleFull: Algorithms of Oppression : How Search Engines Reinforce Racism Type: main |
| ResultId | 1 |