Algorithms of Oppression: How Search Engines Reinforce Racism
暫譯: 壓迫的演算法：搜尋引擎如何加強種族主義

Safiya Umoja Noble

Algorithms of Oppression: How Search Engines Reinforce Racism
  • 出版商: NYU Press
  • 出版日期: 2018-02-20
  • 售價: $1,530
  • 貴賓價: 9.5 折 $1,454
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Paperback
  • ISBN: 1479837245
  • ISBN-13: 9781479837243
  • 相關分類: Algorithms-data-structures

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商品描述

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

商品描述(中文翻譯)

一個揭示女性有色人種所面臨的負面偏見如何嵌入搜尋引擎結果和演算法的深刻觀察

在 Google 搜尋「黑女孩」時，你會發現什麼？「大屁股」和其他性暗示的詞彙可能會成為熱門搜尋詞。然而，如果你輸入「白女孩」，結果則截然不同。建議的色情網站和未經審核的討論，例如「為什麼黑女人這麼有個性」或「為什麼黑女人這麼生氣」，呈現出現代社會中黑女性的令人不安的肖像。

在《壓迫的演算法》中，Safiya Umoja Noble 挑戰了搜尋引擎（如 Google）提供所有形式的思想、身份和活動平等競爭環境的觀念。數據歧視是一個真實的社會問題；Noble 主張，推廣某些網站的私人利益與相對少數的互聯網搜尋引擎的壟斷地位相結合，導致了一組偏見的搜尋演算法，這些演算法偏袒白人並歧視有色人種，特別是有色女性。

透過對文本和媒體搜尋的分析，以及對付費在線廣告的廣泛研究，Noble 揭露了在線可發現性創造過程中的種族主義和性別歧視文化。隨著搜尋引擎及其相關公司在重要性上不斷增長——作為電子郵件的來源、主要和次要學校學習的重要工具等——理解並逆轉這些令人不安的趨勢和歧視性做法至關重要。

《壓迫的演算法》是一部原創、驚人且有時令人不安的關於互聯網偏見的敘述，對我們理解21世紀種族主義的創造、維持和傳播提供了貢獻。

Safiya Noble 在與南加州大學安嫩伯格傳播與新聞學院的訪談中討論了搜尋引擎的偏見。

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