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Book Synopsis
How big data and machine learning encode discrimination and create agitated clusters of comforting rage.

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.
 
Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algori

Discriminating Data Correlation Neighborhoods and

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A Hardback by Wendy Hui Kyong Chun

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    View other formats and editions of Discriminating Data Correlation Neighborhoods and by Wendy Hui Kyong Chun

    Publisher: MIT Press Ltd
    Publication Date: 02/11/2021
    ISBN13: 9780262046220, 978-0262046220
    ISBN10: 0262046229
    Also in:
    Sociology and anthropology

    Description

    Book Synopsis
    How big data and machine learning encode discrimination and create agitated clusters of comforting rage.

    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.
     
    Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algori

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