
Big Data for Qualitative Research
Kathy A. Mills
Résumé
This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers.
This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.
Foreword
Acknowledgements
Introduction
Chapter 1. What is Big Data?
Chapter 2. Big Data in Historical Context
Chapter 3. Challenges of Big Data for Qualitative Researchers
Chapter 4. Potentials of Big Data Analytics for Qualitative Researchers
Chapter 5. Big Data Ethics, Privacy, and Dataveillance
Chapter 6. Anticipating Big Data Futures for Qualitative Researchers
References
Index
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Taylor&francis |
Auteur(s) | Kathy A. Mills |
Parution | 18/03/2019 |
Nb. de pages | 78 |
EAN13 | 9780367173814 |
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