In this Book

summary
The ability to gather data that can be crunched by machines is valuable for studying society. The new methods needed to work it require new skills and new ways of thinking about best research practices. This book reflects on the role and usefulness of big data, challenging overly optimistic expectations about what it can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.
 

Table of Contents

  1. Cover
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  1. Half-Title Page, Series Page, Title Page
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  1. Table of Contents
  2. pp. 5-10
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  1. Foreword
  2. pp. 11-12
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  1. Introduction: New Brave World / Karin van Es & Mirko Tobias Schäfer
  2. pp. 13-22
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  1. Section 1 – Studying Culture through Data
  1. 1. Humanistic Data Research: An Encounter between Epistemic Traditions / Eef Masson
  2. pp. 23-38
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  1. 2. Towards a ‘Humanistic Cinemetrics’? / Christian Gosvig Olesen
  2. pp. 39-54
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  1. 3. Cultural Analytics, Social Computing and Digital Humanities / Lev Manovich
  2. pp. 55-68
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  1. 4. Case Study: On Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur & Lev Manovich
  2. pp. 69-74
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  1. 5. Foundations of Digital Methods: Query Design / Richard Rogers
  2. pp. 75-94
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  1. 6. Case Study: Webs and Streams – Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content / Natalia Sánchez-Querubín
  2. pp. 95-106
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  1. Section 2 – Data Practices in Digital Data Analysis
  1. 7. Digital Methods: From Challenges to Bildung / Bernhard Rieder & Theo Röhle
  2. pp. 107-124
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  1. 8. Data, Culture and the Ambivalence of Algorithms / William Uricchio
  2. pp. 125-138
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  1. 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Paßmann & Asher Boersma
  2. pp. 139-146
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  1. 10. Social Data APIs: Origin, Types, Issues / Cornelius Puschmann & Julian Ausserhofer
  2. pp. 147-154
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  1. 12. Towards a Reflexive Digital Data Analysis / Karin van Es, Nicolás López Coombs & Thomas Boeschoten
  2. pp. 171-180
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  1. Section 3 – Research Ethics
  1. 13. Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity / Gerwin van Schie, Irene Westra & Mirko Tobias Schäfer
  2. pp. 181-200
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  1. 14. Research Ethics in Context: Decision-Making in Digital Research / Annette Markham & Elizabeth Buchanan
  2. pp. 201-210
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  1. 15. Datafication & Discrimination / Koen Leurs & Tamara Shepherd
  2. pp. 211-232
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  1. Section 4 – Key Ideas in Big Data Research
  1. 16. The Myth of Big Data / Nick Couldry
  2. pp. 233-240
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  1. 17. Data Point Critique / Carolin Gerlitz
  2. pp. 241-244
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  1. 18. Opposing the Exceptionalism of the Algorithm / Evgeny Morozov
  2. pp. 245-248
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  1. 19. The Need for a Dialogue with Technology / Mercedes Bunz
  2. pp. 249-254
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  1. Tools
  2. pp. 255-256
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  1. Notes on Contributors
  2. pp. 257-264
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  1. Index
  2. pp. 265-268
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Additional Information

ISBN
9789048531011
Related ISBN
9789462981362
MARC Record
OCLC
1163843329
Pages
272
Launched on MUSE
2020-07-09
Language
English
Open Access
Yes
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