The Datafied Society
Studying Culture through Data
Published on 21. February 2017
256 pages
978-90-485-3101-1 (ISBN)
Description
This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal.
More details
Edition
Digital original
Language
English
Place of publication
Amsterdam
Netherlands
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
Illustrations
9 s/w Abbildungen, 20 farbige Abbildungen
20 color plates, 9 halftones, 2 line art; 20 Illustrations, color; 9 Illustrations, black and white
File size
1,44 MB
ISBN-13
978-90-485-3101-1 (9789048531011)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Schaefer Mirko Tobias :
Mirko Tobias Schaefer is Associate Professor at Utrecht University's research area Governing the Digital Society. He is co-founder and project leader of the Utrecht Data School. He is author of the book Bastard Culture! How User Participation Transforms Cultural Production (Amsterdam University Press 2011). Together with Karin van Es, he edited the volume The Datafied Society. Studying Culture through Data (Amsterdam University Press 2017).Es Karin :
Karin van Es is Associate Professor of Media and Culture Studies and project lead Humanities at Data School at Utrecht University. Her research focuses on the impact of datafication and algorithmization on culture and society, with a focus on the media industry.
Mirko Tobias Schaefer is Associate Professor at Utrecht University's research area Governing the Digital Society. He is co-founder and project leader of the Utrecht Data School. He is author of the book Bastard Culture! How User Participation Transforms Cultural Production (Amsterdam University Press 2011). Together with Karin van Es, he edited the volume The Datafied Society. Studying Culture through Data (Amsterdam University Press 2017).Es Karin :
Karin van Es is Associate Professor of Media and Culture Studies and project lead Humanities at Data School at Utrecht University. Her research focuses on the impact of datafication and algorithmization on culture and society, with a focus on the media industry.
Content
Acknowledgements Foreword Introduction: New Brave World Karin van Es and Mirko Tobias Schaefer Section 1: Studying Culture through Data Humanistic Data Research: An Encounter between Epistemic Traditions Eef Masson Towards a 'Humanistic Cinemetrics'? Christian Gosvig Olesen Cultural Analytics, Social Computing, and Digital Humanities Lev Manovich Case Study: On Broadway Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur, and Lev Manovich Foundations of Digital Methods: Query Design Richard Rogers Case Study: Webs and Streams: Mapping Issue-Networks Using Hyperlinks, Hashtags, and (Potentially) Embedded Content Natalia Sanchez-Querubin Section 2: Data Practices in Digital Data Analysis Digital Methods: From Challenges to Bildung Bernhard Rieder and Theo Roehle Data, Culture, and the Ambivalence of Algorithms William Uricchio Unknowing Algorithms: On Transparency of Un-operable Black Boxes Johannes Passmann and Asher Boersma Social Data APIs: Origin, Types, Issues Cornelius Puschmann and Julian Ausserhofer How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy, and Jonathan Gray Towards a Reflexive Digital Data Analysis Karin van Es, Nicolas Lopez Coombs and Thomas Boeschoten Section 3: Research Ethics Get Your Hands Dirty: Research Ethics in an Age of Big Data: How Digital Methods and 'Big Data' Practices Challenge Traditional Guidelines for Research Integrity Gerwin van Schie, Irene Westra, and Mirko Tobias Schaefer Research Ethics in Context: Decision-Making in Digital Research Annette Markham and Elizabeth Buchanan Data and Discrimination Koen Leurs and Tamara Shepherd Section 4: Key Ideas in Big Data Research: The Myth of Big Data, Data Point Critique, Algorithmic Exceptionalism of Algorithms and the Need for a Dialogue with Technology The Myth of Big Data Nick Couldry Data-Point Critique Carolin Gerlitz Opposing the Exceptionalism of the Algorithm Evgeny Morozov The Need for a Dialogue with Technology Mercedes Bunz Tools Notes on Contributors Index
