Predatory Data
Eugenics in Big Tech and Our Fight for an Independent Future
Seiten
2025
University of California Press (Verlag)
978-0-520-40284-3 (ISBN)
University of California Press (Verlag)
978-0-520-40284-3 (ISBN)
- Lieferbar (Termin unbekannt)
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
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.
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.
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.
| Erscheinungsdatum | 10.12.2024 |
|---|---|
| Zusatzinfo | 1 b-w figure, 6 color figures |
| Verlagsort | Berkerley |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 408 g |
| Themenwelt | Naturwissenschaften |
| Sozialwissenschaften ► Kommunikation / Medien ► Medienwissenschaft | |
| Sozialwissenschaften ► Soziologie | |
| ISBN-10 | 0-520-40284-7 / 0520402847 |
| ISBN-13 | 978-0-520-40284-3 / 9780520402843 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Eine Einführung
Buch | Softcover (2022)
Springer VS (Verlag)
CHF 46,15
wie KI und virtuelle Welten von uns Besitz ergreifen – und die …
Buch | Hardcover (2023)
Heyne (Verlag)
CHF 29,90
