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.
Rezensionen / Stimmen
"An illuminating and unsettling depiction of Big Tech as deeply enmeshed in an ethically compromised brand of social science." * Publishers Weekly * "Anita Say Chan illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. . . . Looking to the past to shape our future, Predatory Data effectively charts a path for an alternative historical consciousness grounded in the pursuit of global justice. . . . Invaluable."
* Midwest Book Review * "Chan's book shares lessons that society can learn from today's global justice-based data initiatives and from the data collaborations of earlier feminists, immigrants, and other minorities who refused eugenic models." * Eurasia Review * "Just as eugenicists championed their data collection practices to justify their beliefs and practices as 'evidence-based,' today's tech giants employ data and algorithms that harm minority groups under the guise of technological impartiality and the promise of an optimized future. . . . Chan urges the reader to push back, sharing a playbook for resisting datafication and prediction systems that recreate our biased past and reinforce majority voices." * Choice *
Auflage
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Illustrationen
1 b-w figure, 6 color figures
Maße
Höhe: 224 mm
Breite: 149 mm
Dicke: 18 mm
Gewicht
ISBN-13
978-0-520-40284-3 (9780520402843)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
Contents
Acknowledgments
Introduction: Predatory Data: Civic Amputations in the Global Data Economy
1 * Immigrant Excisions, "Race Suicide," and the Eugenic Information Market
2 * Streamlining's Laboratories: Monitoring Culture and Eugenic Design in the Future City
3 * Of Merit, Metrics, and Myth: Cognitive Elites and Techno-Eugenics in the Knowledge Economy
4 * Relational Infrastructures: Feminist Refusals and Immigrant Data Solidarities
5 * The Coalitional Lives of Data Pluralism: Intergenerational Feminist Resistance to Data Apartheid
6 * Community Data: Pluri-Temporalities in the Aftermath of Big Data
Conclusion: Data Pluralism and a Playbook for Defending Improbable Worlds
Notes
References
Index
