The Datafied Society: Studying Culture Through Data

Description

As more and more aspects of everyday life are turned into machine-readable data, researchers are provided with rich resources for researching society. The novel methods and innovative tools to work with this data not only require new knowledge and skills, but also raise issues concerning the practices of investigation and publication. This book critically reflects on the role of data in academia and society and challenges overly optimistic expectations considering data practices as means for understanding social reality. It introduces its readers to the practices and methods for data analysis and visualization and raises questions not only about the politics of data tools, but also about the ethics in collecting, sifting through data, and presenting data research. AUP S17 Catalogue text As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation. Cover......Page 1 Table of Contents......Page 6 Acknowledgements......Page 0 Foreword......Page 12 Karin van Es & Mirko Tobias Schäfer......Page 14 Section 1 – Studying Culture through Data......Page 24 Eef Masson......Page 26 Christian Gosvig Olesen......Page 40 Lev Manovich......Page 56 Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur & Lev Manovich......Page 70 Richard Rogers......Page 76 Natalia Sánchez-Querubín......Page 96 Section 2 – Data Practices in Digital Data Analysis......Page 108 Bernhard Rieder & Theo Röhle......Page 110 William Uricchio......Page 126 Johannes Paßmann & Asher Boersma......Page 140 Cornelius Puschmann & Julian Ausserhofer......Page 148 Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy & Jonathan Gray......Page 156 Karin van Es, Nicolás López Coombs & Thomas Boeschoten......Page 172 Section 3 – Research Ethics......Page 182 Gerwin van Schie, Irene Westra & Mirko Tobias Schäfer......Page 184 Annette Markham & Elizabeth Buchanan......Page 202 Koen Leurs & Tamara Shepherd......Page 212 Section 4 – Key Ideas in Big Data Research......Page 234 Nick Couldry
......Page 236 Carolin Gerlitz
......Page 242 Evgeny Morozov

......Page 246 Mercedes Bunz......Page 250 Tools......Page 256 Notes on Contributors......Page 258 Index......Page 266