The datafied society : studying culture through data /

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Bibliographic Details
Imprint:Amsterdam : Amsterdam University Press, [2017]
©2017
Description:267 pages : illustrations (some color) ; 24 cm
Language:English
Subject:Digital humanities -- Research.
Big data -- Moral and ethical aspects.
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11039746
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Other authors / contributors:Schäfer, Mirko Tobias, editor.
Van Es, Karin, editor.
ISBN:9789462981362
9462981361
Notes: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.
Table of Contents:
  • Acknowledgements
  • Foreword
  • Introduction
  • New Brave World
  • Section 1. Studying Culture through Data
  • 1. Humanistic Data Research: An Encounter between Epistemic Traditions
  • 2. Towards a 'Humanistic Cinemetrics'?
  • 3. Cultural Analytics, Social Computing and Digital Humanities
  • 4. Case Study: On Broadway
  • 5. Foundations of Digital Methods: Query Design
  • 6. Case Study: Webs and Streams - Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content
  • Section 2. Data Practices in Digital Data Analysis
  • 7. Digital Methods: From Challenges to Bildung
  • 8. Data, Culture and the Ambivalence of Algorithms
  • 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes
  • 10. Social Data APIs: Origin, Types, Issues
  • 11. How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad
  • 12. Towards a Reflexive Digital Data Analysis
  • Section 3. Research Ethics
  • 13. Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity
  • 14. Research Ethics in Context: Decision-Making in Digital Research
  • 15. Datafication & Discrimination
  • Section 4. Key Ideas in Big Data Research
  • 16. The Myth of Big Data
  • 17. Data Point Critique
  • 18. Opposing the Exceptional ism of the Algorithm
  • 19. The Need for a Dialogue with Technology
  • Tools
  • Notes on Contributors
  • Index