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.
Author(s): Mirko Tobias Schafer, Karin van Es (Editors)
Publisher: Amsterdam University Press
Year: 2017
Language: English
Pages: 269
Tags: Social Media, Data Analysis, Data Journalism, Data Visualization, Internet Research
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