Library · book

Algorithms of Oppression

Safiya Umoja Noble
2018·NYU Press

Fuente: https://nyupress.org/9781479837243/algorithms-of-oppression/

Noble's investigation begins with a simple, devastating observation: searching for "black girls" on Google returned pornography and racist stereotypes, while searches for white counterparts returned wholesome content. From that starting point she builds a rigorous case that search engines are not neutral information retrieval systems but advertising platforms whose commercial logic systematically devalues and misrepresents women and people of color. The book draws on critical race theory, library science, and political economy to show how the design decisions embedded in ranking algorithms reflect and reinforce existing power structures. Noble is careful to distinguish between individual bias and structural bias — the problem is not that engineers are personally racist but that the optimization function itself encodes discriminatory outcomes. The work is essential reading for anyone designing systems that mediate access to information, because it demonstrates that technical neutrality is a political position.

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