Discriminating Data
Correlation, Neighborhoods, and the New Politics of Recognition
$57.03
- Paperback
344 pages
- Release Date
9 April 2024
Summary
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” t…
Book Details
| ISBN-13: | 9780262548526 |
|---|---|
| ISBN-10: | 0262548526 |
| Author: | Wendy Hui Kyong Chun, Alex Barnett |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Paperback |
| Number of Pages: | 344 |
| Release Date: | 9 April 2024 |
| Weight: | 369g |
| Dimensions: | 229mm x 152mm |
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About The Author
Wendy Hui Kyong Chun
Wendy Hui Kyong Chun is Simon Fraser University’s Canada 150 Research Chair in New Media and Professor of Communication and Director of the SFU Digital Democracies Institute. She is the author of Control and Freedom, Programmed Visions, and Updating to Remain the Same.
Alex Barnett is Group Leader for Numerical Analysis at the Center for Computational Mathematics at the Flatiron Institute in New York. He has published more than 50 research papers in scientific computing, differential equations, fluids, waves, imaging, physics, neuroscience, and statistics.
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