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The Social Power of Algorithms -

The Social Power of Algorithms

David Beer (Herausgeber)

Buch | Softcover
156 Seiten
2020
Routledge (Verlag)
978-0-367-59281-3 (ISBN)
CHF 67,95 inkl. MwSt
Algorithms can shape how we are retreated, what we know, who we connect with and what we encounter. As they continue to spread throughout our software dense and data rich social world, this book reflects on the power of these decision-making bits of code. This book was first published as a special issue of Information, Communication & Soc
The vast circulations of mobile devices, sensors and data mean that the social world is now defined by a complex interweaving of human and machine agency. Key to this is the growing power of algorithms – the decision-making parts of code – in our software dense and data rich environments. Algorithms can shape how we are retreated, what we know, who we connect with and what we encounter, and they present us with some important questions about how society operates and how we understand it.



This book offers a series of concepts, approaches and ideas for understanding the relations between algorithms and power. Each chapter provides a unique perspective on the integration of algorithms into the social world. As such, this book directly tackles some of the most important questions facing the social sciences today. This book was originally published as a special issue of Information, Communication & Society.

David Beer is Reader in Sociology at the University of York, UK. He is the author of Metric Power (2016), Punk Sociology (2014), Popular Culture and New Media: The Politics of Circulation (2013), and New Media: The Key Concepts (2008, with Nicholas Gane).

Introduction: The social power of algorithms 1. Thinking critically about and researching algorithms 2. The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms 3. Algorithmic IF …THEN rules and the conditions and consequences of power 4. Algorithmically recognizable: Santorum’s Google problem, and Google’s Santorum problem 5. Computing brains: learning algorithms and neurocomputation in the smart city 6. Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality 7. ‘Hypernudge’: Big Data as a mode of regulation by design 8. Algorithms (and the) everyday

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 174 x 246 mm
Gewicht 340 g
Themenwelt Informatik Theorie / Studium Algorithmen
Sozialwissenschaften Kommunikation / Medien Kommunikationswissenschaft
Sozialwissenschaften Kommunikation / Medien Medienwissenschaft
ISBN-10 0-367-59281-9 / 0367592819
ISBN-13 978-0-367-59281-3 / 9780367592813
Zustand Neuware
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