Review of "Algorithms of oppression: how search engines reinforce racism," by Noble, S. U. (2018). New York, New York: NYU Press.

Review of "Algorithms of oppression: how search engines reinforce racism," by Noble, S. U. (2018). New York, New York: NYU Press.
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对“压迫算法:搜索引擎如何强化种族主义”的评论,Noble, S. U.(2018 年)。

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发表时间:
2019
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通讯作者:
Gregory Zobel
Gregory Zobel
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作者:
Gregory Zobel

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阅读并仔细思考,Safiya Umoja Noble的压迫算法:搜索引擎如何加强种族主义是毁灭性的。它将技术是中立的、不受意识形态影响的概念夷为平地。诺布尔打破了中立神话,这有几个作用。首先,这一行为为她的论点奠定了基础:只有当你认识到并理解技术是建立在偏见之上的,并且整合了偏见,你才能对她的主要论点持开放态度:搜索引擎促进了歧视性的,往往是种族主义的内容。其次,它消除了许多自认为精英硅谷“赢家”及其支持者的方便反应。阅读后,一些人可能会保留他们对中立和无意识形态技术的信仰,尽管诺布尔带来了压倒性的证据和引用。有效反驳来宝的主张不太可能发生。对于从事技术,信息,论证和/或修辞研究的专业人士来说,压迫算法令人耳目一新。对结构性种族主义及其防御的激动,在其证据陈述中一心一意,在承认他人的学术和研究中合作,诺布尔模型许多学术,批判和社会运动。技术学者和作家会在《压迫算法》中找到一本关于如何成为一名积极的研究学者的大师级导师文本。Noble也让这种令人愉快的阅读。这是罕见的找到学术书籍,可以同时阅读,使用和应用的学者和非学者一样。
Read and considered thoughtfully, Safiya Umoja Noble's Algorithms of Oppression: How Search Engines Reinforce Racism is devastating. It reduces to rubble the notion that technology is neutral and ideology-free. Noble's crushing the neutrality myth does several things. First, this act lays foundations for her argument: only if you recognize and understand that technology is built with, and integrates, bias, can you then be open to her primary thesis: search engines advance discriminatory and often racist content. Second, it banishes a convenient response for many self-identified meritocratic Silicon Valley "winners" and their supporters. Post-reading, some individuals may retain their beliefs in a neutral and ideology-free technology in spite of the overwhelming evidence and citations Noble brings to bear. Effective countering of Noble's claims is unlikely to occur. For professionals working in technology, information, argumentation, and/or rhetorical studies, Algorithms of Oppression is refreshing. Agonistic towards structural racism and its defenses, single-minded in its evidentiary presentation, collaborative in its acknowledgement of others' scholarship and research, Noble models many academic, critical, and social moves. Technology scholars and writers will find in Algorithms of Oppression a masterful mentor text on how to be an activist researcher scholar. Noble also makes this enjoyable reading. It is uncommon to find academic books that can simultaneously be read, used, and applied by academics and non-academics alike.