The Datafied Society
Studying Culture through Data
Published on 1. October 2025
268 pages
978-1-040-77846-3 (ISBN)
Description
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 visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
32,87 MB
ISBN-13
978-1-040-77846-3 (9781040778463)
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
Other editions
Additional editions
Book
08/2017
Amsterdam University Press
€77.20
Article not available at the moment
Book
02/2017
1st Edition
Amsterdam University Press
€136.20
Shipment within 15-20 days
Persons
Mirko Tobias Schaefer is Associate Professor of AI, Data & Society at Utrecht University's research area 'Governing the Digital Society' and the Department for Information and Computing Sciences. Mirko is co-founder and Sciences lead of the Data School. He studies the datafication of public management and engages in the development of responsible and accountable AI and data practices. Karin van Es is Associate Professor of Media and Culture Studies and project lead Humanities at Data School, both at Utrecht University.
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.
