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Social Science Bites

Safiya Noble on Search Engines

Jan 8, 2024
Safiya Noble, author and scholar, discusses how search engines reveal the biases of their programmers. She exposes the appalling material highlighted by search engines and offers recommendations for improvement. The podcast covers biased search results, the presence of stereotypes, the need for disambiguation, and the potential changes to Google's algorithm to tackle biases.
28:24

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Podcast summary created with Snipd AI

Quick takeaways

  • Search engines can perpetuate harmful biases and stereotypes in their search results, impacting social behavior and resource distribution.
  • Efforts to combat biases in search engine algorithms are crucial, including developing alternative search engines curated by experts and establishing regulation and accountability.

Deep dives

Search Engines and the Evolution of Information Retrieval

Search engines revolutionized the way we access information by indexing web content and ranking it based on relevance. Traditional methods of organizing information, such as web directories, were replaced by the more efficient and algorithm-driven approach of search engines. Google, the dominant search engine, used hyperlinks as a credibility factor, determining the quality and trustworthiness of websites. However, this also opened the door for biases in search results. For instance, searches for black girls would yield results predominantly related to pornography, perpetuating harmful stereotypes. The study highlights the need to recognize the biased nature of search engines and the dangers it poses to accurate information retrieval.

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