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

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

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