The Datafied Society : Studying Culture through Data /
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...
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| Format: | Electronic eBook |
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| Language: | English |
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[Place of publication not identified] :
Amsterdam University Press,
2017.
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| Series: | Book collections on Project MUSE.
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| Online Access: | Full text available: |
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Table of Contents:
- Cover; Table of Contents; Acknowledgements; Foreword; Introduction: New Brave World / Karin van Es & 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 & 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 & Theo Röhle; 8. Data, Culture and the Ambivalence of Algorithms / William Uricchio; 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Passmann & Asher Boersma ; 10. Social Data APIs: Origin, Types, Issues / Cornelius Puschmann & Julian Ausserhofer.
- 11. How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy & Jonathan Gray12. Towards a Reflexive Digital Data Analysis / Karin van Es, Nicolás López Coombs & Thomas Boeschoten; Section 3
- Research Ethics; 13. Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity / Gerwin van Schie, Irene Westra & Mirko Tobias Schäfer; 14. Research Ethics in Context: Decision-Making in Digital Research / Annette Markham & Elizabeth Buchanan.
- 15. Datafication & Discrimination / Koen Leurs & 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.