Predatory Data : Eugenics in Big Tech and Our Fight for an Independent Future
Autor: | Anita Say Chan |
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SOCIAL SCIENCE / Technology Studies, BUSINESS & ECONOMICS / Industries / Computers & Information Technology, COMPUTERS / Information Technology, POLITICAL SCIENCE / Colonialism & Post-Colonialism, SOCIAL SCIENCE / Emigration & Immigration, SOCIAL SCIENCE / Feminism & Feminist Theory, SOCIAL SCIENCE / Discrimination, SOCIAL SCIENCE / Media Studies, POLITICAL SCIENCE / Political Process / Media & Internet, SOCIAL SCIENCE / Race & Ethnic Relations, SOCIAL SCIENCE / Activism & Social Justice
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Popis: | 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. |
Databáze: | eBook Index |
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