The Social Power of Algorithms (eBook, ePUB)

Redaktion: Beer, David

• Format: ePub

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 166
• Erscheinungstermin: 23. Oktober 2019
• Englisch
• ISBN-13: 9781351200653
• Artikelnr.: 57966573

Autorenporträt

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).

Inhaltsangabe

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