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Title Datafied society : studying culture through data / edited by Mirko Tobias Schäfer and Karin van Es.

Publication Info. [Place of publication not identified] : Amsterdam University Press, 2017.

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Description 1 online resource
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Contents Cover; Table of Contents; Acknowledgements; Foreword; Introduction: New Brave World / Karin van Es and Mirko Tobias Schäfer; Section 1 -- Studying Culture through Data; 1. Humanistic Data Research: An Encounter between Epistemic Traditions / Eef Masson; 2. Towards a 'Humanistic Cinemetrics'? / Christian Gosvig Olesen; 3. Cultural Analytics, Social Computing and Digital Humanities / Lev Manovich; 4. Case Study: On Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur and Lev Manovich; 5. Foundations of Digital Methods: Query Design / Richard Rogers.
6. Case Study: Webs and Streams -- Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content / Natalia Sánchez-QuerubínSection 2 -- Data Practices in Digital Data Analysis; 7. Digital Methods: From Challenges to Bildung / Bernhard Rieder and Theo Röhle; 8. Data, Culture and the Ambivalence of Algorithms / William Uricchio; 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Paßmann and Asher Boersma ; 10. Social Data APIs: Origin, Types, Issues / Cornelius Puschmann and Julian Ausserhofer.
11. How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy and Jonathan Gray12. Towards a Reflexive Digital Data Analysis / Karin van Es, Nicolás López Coombs and Thomas Boeschoten; Section 3 -- Research Ethics; 13. Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity / Gerwin van Schie, Irene Westra and Mirko Tobias Schäfer; 14. Research Ethics in Context: Decision-Making in Digital Research / Annette Markham and Elizabeth Buchanan.
15. Datafication and Discrimination / Koen Leurs and Tamara ShepherdSection 4 -- Key Ideas in Big Data Research; 16. The Myth of Big Data / Nick Couldry; 17. Data Point Critique / Carolin Gerlitz; 18. Opposing the Exceptionalism of the Algorithm / Evgeny Morozov; 19. The Need for a Dialogue with Technology / Mercedes Bunz; Tools; Notes on Contributors; Index.
Bibliography Includes bibliographical references and index.
Summary 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.
Subject Digital humanities -- Research.
Big data -- Moral and ethical aspects.
SOCIAL SCIENCE -- Essays.
SOCIAL SCIENCE -- Reference.
Reference, information and interdisciplinary subjects.
Research and information: general.
Sozialwissenschaften.
Forschung.
Kulturwissenschaften.
Datenanalyse.
Other Form: Print version: Datafied society. [Place of publication not identified] : Amsterdam University Press, 2017 9789462981362 9462981361 (OCoLC)967837696
ISBN 9789462981362 (electronic bk.)
9462981361 (electronic bk.)
9789048531011 (electronic bk.)
9048531012 (electronic bk.)
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