This book explores the big data evolution by interrogating the notion that big data is a disruptive innovation that appears to be challenging existing epistemologies inthe humanities and social sciences. Exploring various (controversial) facets of big data such as ethics, data power, and data justice, the book attempts to clarify the trajectoryof the epistemology of (big) data-driven science in the humanities and social sciences.
- 205 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
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Table of contents
- Cover
- Back
- Title Page
- Imprint
- Contents
- List of figures
- List of tables
- Acknowledgements
- Foreword
- Introduction
- 1. The (fuzzy) origins of big data and the dangers of ignoring history
- 2. Locating big data in the (digital) humanities and (computational) social sciences
- 3. Big Data, big despair: Myths debunked and lessons learned
- 4. Big Data needs big ethics
- 5. Does big data visualisation make our endeavours less humanistic?
- 6. Data power in the era of big data: Friend or foe?
- 7. The place of qualitative data analysis software (QDAS) programmes in a big data world
- 8. The nitty-gritty: Big data infrastructure
- 9. Leveraging social scientific and humanistic expertise in the world of (big) data science
- 10. An example: Big data analysis in the humanities in South Africa
- References
- Index
- Back