UID:
edocfu_9958936664902883
Format:
1 online resource :
,
20 color plates, 9 halftones, 2 line art
ISBN:
9789048531011
Content:
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.
Note:
Frontmatter --
,
Table of Contents --
,
Acknowledgements /
,
Foreword /
,
Introduction /
,
Section 1. Studying Culture through Data --
,
1. Humanistic Data Research /
,
2. Towards a ‘Humanistic Cinemetrics’? /
,
3. Cultural Analytics, Social Computing and Digital Humanities /
,
4. Case Study /
,
5. Foundations of Digital Methods /
,
6. Case Study /
,
Section 2. Data Practices in Digital Data Analysis --
,
7. Digital Methods /
,
8. Data, Culture and the Ambivalence of Algorithms /
,
9. Unknowing Algorithms /
,
10. Social Data APIs /
,
11. How to Tell Stories with Networks /
,
12. Towards a Reflexive Digital Data Analysis /
,
Section 3. Research Ethics --
,
13. Get Your Hands Dirty /
,
14. Research Ethics in Context /
,
15. Datafication & Discrimination /
,
Section 4. Key Ideas in Big Data Research --
,
16. The Myth of Big Data /
,
17. Data Point Critique /
,
18. Opposing the Exceptionalism of the Algorithm /
,
19. The Need for a Dialogue with Technology /
,
Tools --
,
Notes on Contributors --
,
Index
,
In English.
Language:
English
DOI:
10.1515/9789048531011
URL:
https://doi.org/10.1515/9789048531011
