Compromised Data From Social Media to Big Data [Hardcover]

There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enlightenment. But social data is compromised: it is being seized by specific economic interests, it leads to a fundamental shift in the relationship between research and the public good, and it fosters new forms of control and surveillance.

Compromised Data: From Social Media to Big Dataexplores how we perform critical research within a compromised social data framework. The expert, international lineup of contributors explores the limits and challenges of social data research in order to invent and develop new modes of doing public research. At its core, this collection argues that we are witnessing a fundamental reshaping of the social through social data mining.

Ganaele Langloisis Assistant Professor at York University, Canada, and Associate Director of the Infoscape Centre for the Study of Social Media, Ryerson University, Canada. Her research focuses on new media theory, software studies and technoculture.

Joanna Reddenis Assistant Professor of Critical Media Studies at the University of Calgary, Canada. Her work investigates how digital technologies influence political, media, and protest practices specifically as related to poverty, inequality, and governance.

Greg Elmeris Bell Globemedia Research Chair and Director of the Infoscape Centre for the Study of Social Media at Ryerson University, Canada. His research and teaching focus on new media and politics, theories and methods in social media studies, surveillance theory, and media globalization.

Big data promise a more efficient understanding of citizen needs, wants, and desires and cast a wide net of harnessing these tendencies in the hope of bringing about more direct forms of democracy. At the same time, however, they do so at the costl“+