The Datafied Society : Studying Culture Through Data.
Material type:
TextPublisher: Amsterdam : Amsterdam University Press, 2017Copyright date: ©2017Edition: 1st edDescription: 1 online resource (269 pages)Content type: - text
- computer
- online resource
- 9789048531011
- 303.4833
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-Querubín -- Section 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 Gray -- 12. 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 Shepherd -- Section 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.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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