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Discriminating Data : Correlation Neighborhoods And The New Politics Of Recognition
Hardback Edition: 1
In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal - not an error - within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data's predictive potential, stems from twentieth-century eugenic attempts to "breed" a better future. Recommender systems foster angry clusters of sameness through homophily. Users are "trained" to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible.
Pages : 344
Publisher : MIT Press
Publication date : 2022-02-01
Subjects: Non-fiction, Lifestyle, Sport And Leisure, Science And Technology, Popular Science, Maths, Maths For Scientists