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Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future

Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future

Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future Paperback / softback - 2025

by Anita Say Chan

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Paperback / softback. New.

A free ebook version of this title is available through Luminos, University of California Press’s Open Access publishing program. Visit www.luminosoa.org to learn more.

The first book to draw a direct line between the datafication and prediction techniques of past eugenicists and today's often violent and extractive "big data" regimes.
 
Predatory Data illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. With this book, Anita Say Chan offers a historical, globally multisited analysis of the relations of dispossession, misrecognition, and segregation expanded by dominant knowledge institutions in the Age of Big Data.
 
While technological advancement has a tendency to feel inevitable, it always has a history, including efforts to chart a path for alternative futures and the important parallel story of defiant refusal and liberatory activism. Chan explores how more than a century ago, feminist, immigrant, and other minoritized actors refused dominant institutional research norms and worked to develop alternative data practices whose methods and traditions continue to reverberate through global justice-based data initiatives today. Looking to the past to shape our future, this book charts a path for an alternative historical consciousness grounded in the pursuit of global justice.
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Details

  • Title Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future
  • Author Anita Say Chan
  • Binding Paperback
  • Condition New
  • Pages 262
  • Volumes 1
  • Language ENG
  • Publisher University of California Press
  • Publication date 2025-01-07
  • Features Bibliography, Index
  • Bookseller's Inventory # B9780520402843
  • ISBN 9780520402843 / 0520402847
  • Weight 0.93 lbs (0.42 kg)
  • Dimensions 9 x 6.25 x 0.65 in (22.86 x 15.88 x 1.65 cm)
  • Themes
    • Ethnic Orientation: Multicultural
  • Category Sociology
  • Library of Congress subjects Technology - Social aspects, Quantitative research - Moral and ethical
  • Library of Congress Catalogue Number 2024026598
  • Dewey Decimal Code 005.7
  • Quantity available 3

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From the publisher

The first book to draw a direct line between the datafication and prediction techniques of past eugenicists and today's often violent and extractive "big data" regimes.

Predatory Data illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. With this book, Anita Say Chan offers a historical, globally multisited analysis of the relations of dispossession, misrecognition, and segregation expanded by dominant knowledge institutions in the Age of Big Data.


While technological advancement has a tendency to feel inevitable, it always has a history, including efforts to chart a path for alternative futures and the important parallel story of defiant refusal and liberatory activism. Chan explores how more than a century ago, feminist, immigrant, and other minoritized actors refused dominant institutional research norms and worked to develop alternative data practices whose methods and traditions continue to reverberate through global justice-based data initiatives today. Looking to the past to shape our future, this book charts a path for an alternative historical consciousness grounded in the pursuit of global justice.

A free ebook version of this title is available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more.

From the rear cover

"Predatory Data is a groundbreaking book that connects historical practices of eugenics to big data's contemporary challenges. Anita Say Chan highlights the power of community-based alternatives to extractive data rooted in feminist, people of color, and Indigenous perspectives. An essential book for anyone looking to envision more equitable technological futures."--Shaka McGlotten, author of Virtual Intimacies: Media, Affect, and Queer Sociality

"Predatory Data is the framework that we have been waiting for--to refuse, resist, and reimagine new possibilities as a part of decolonizing algorithmic and data practices."--Nishant Shah, Associate Professor and Director of the Digital Narratives Studio, Chinese University of Hong Kong

Media reviews

Citations

  • Choice, 08/01/2025, Page 0
  • Publishers Weekly, 11/25/2024, Page 0

About the author

Anita Say Chan is a feminist and decolonial scholar of Science and Technology Studies and Associate Professor of Information Sciences and Media Studies at the University of Illinois, Urbana-Champaign.

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