Simon Lindgren Boeken

The datafication of our world offers huge challenges and opportunities for social science. The ‘data-drivenness’ of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the ‘quantitative’ dimensions of big data with the ‘qualitative’ sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiry. In this experimental and provocative book, Simon Lindgren argues that a hybrid approach to data and theory must be developed in order to make sense of today's ambivalent, turbulent, and media-saturated political landscape. He pushes for the development of a critical science of data, joining the interpretive theoretical and ethical sensibilities of social science with the predictive and prognostic powers of data science and computational methods. In order for theories and research methods to be more useful and relevant, they must be dismantled and put together in new, alternative, and unexpected ways. Data Theory is essential reading for social scientists and data scientists, as well as students taking courses in social theory and data, digital methods, big data, and data and society.

This book is about online subcultures thriving in the border zones between pop cultural and political engagement. Combining classic theories of space, power and resistance with current case studies of digital piracy, online activism and remix culture, the book develops a cultural theory of social movements in the digital age.

Cutting-edge student exploration of what it means to live in a digital society. Introduces key concepts and research essential for digital media, social media and media/data and society modules.

An introduction to both the scope and potential of researching digital media and society and to the use and application of a range of popular methods for doing research.Â