Issue Number Two: Crowds and Clouds

Issue Number Two: Crowds and Clouds

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This issue of LIMN focuses on new social media, data mining and surveillance, crowdsourcing, cloud computing, big data, and Internet revolutions. Rather than follow the well-worn paths of argument typical today, our contributors address the problems in new ways and at odd angles: from the power and politics of statistics and algorithms to crowdsourcing’s discontents to the capriciousness of collectives in an election; from the focus group and the casino to the worlds of micro-finance and data-intensive policing. Together they raise questions about the relationship of technology and the collectives that form in and through them.

Contributors:  Christopher Kelty, Alain Desrosières, Lilly Irani, Chris Csikszentmihályi, Gabriella Coleman, Nick Seaver, Emmanuel Didier, Alek Felstiner, Tarleton Gillespie, Roma Jhaveri, Daniel Kreiss, Natasha Dow Schüll, Rebecca Lemov, Maria Vidart, Amira Pettus, Jonathan R. Baldwin, and Ruben Hickman

Preface: Crowds and Clouds

This issue of LIMN aims to raise the level of discussion about new social media, crowdsourcing, cloud computing, big data, and Internet revolutions.  Too often, writing about these things follows well-worn paths of argument—paths that become increasingly worn with every

Occupy Sourcing

Amira Pettus diagrams how Occupy recreates the structures and organization of collectives.

Microworking the Crowd

How do you turn millions of people into a CPU? Lilly Irani unravels the mysteries of human-as-computation in Amazon Mechanical Turk

Am I Anonymous?

Learning how Anonymous works means learning to be one. Gabriella Coleman narrates her experience of being in between worlds.

Public Safety and Wall Street

Compstat and the Real Time Crime Center are at the epicenter of Bloomberg’s New York. Emmanuel Didier explores how they are turning public safety into a commodity for Wall Street.

The Weakness of Crowds

Why can’t crowds defend themselves? Alek Felstiner explores how the power of crowds to decide is also a weakness when it comes to organizing.

Can an Algorithm be Wrong?

How do we know if we are where it’s at? Tarleton Gillespie explores the controversy over Twitter Trends and the algorithmic ‘censorship’ of #occupywallstreet.