# Algorithms of Oppression Safiya Umoja Noble's study of how search engines — Google above all — encode and amplify racism and sexism while presenting their results as neutral reflections of relevance. The book's anchor example: for years, searching "black girls" returned pornography as the top results. Noble names the underlying mechanism **"technological redlining"**: commercially driven ranking systems that reproduce discrimination at scale while hiding behind the apparent objectivity of math. ## The Argument Search results are advertising products, not public information utilities; what ranks is what profits. Because the engineers, training data, and ad incentives all skew toward dominant groups, marginalized people are systematically misrepresented — and the public's faith in algorithmic neutrality makes the distortion more damaging than overt bias. Noble argues for treating information access as a public-interest question requiring regulation, not a market question to be optimized. ## RWKB Relevance Bridges the vault's disinformation and tech-power clusters: the same ranking-as-neutrality myth that launders search bias also launders radicalization pipelines and algorithmic amplification of far-right content. Key citation for arguments that platform "neutrality" is itself an ideological position.