The Social Power of Algorithms

Introduction: The social power of algorithms David Beer

1. Thinking critically about and researching algorithms Rob Kitchin

2. The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms Taina Bucher

3. Algorithmic IF .THEN rules and the conditions and consequences of power Daniel Neyland and Norma Möllers

4. Algorithmically recognizable: Santorum's Google problem, and Google's Santorum problem Tarleton Gillespie

5. Computing brains: learning algorithms and neurocomputation in the smart city Ben Williamson

6. Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality Bernhard Rieder

7. 'Hypernudge': Big Data as a mode of regulation by design Karen Yeung

8. Algorithms (and the) everyday Michele Willson

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.

1st editionHM742Online social networks.|Machine learning.|Computer algorithms.1EnglandLondonedited by David Beer.