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Book Cover
E-book
Author Mills, Kathy, 1974- author

Title Big data for qualitative research / Kathy A. Mills
Published London ; New York, NY : Routledge, 2019

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Description 1 online resource
Contents Introduction -- What is big data? -- Big data in historical context -- Challenges of big data for qualitative researchers -- Potentials of big data analytics for qualitative researchers -- Big data ethics, privacy, and dataveillance -- Anticipating big data futures for qualitative researchers
Summary Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. 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
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Qualitative research.
Big data.
REFERENCE -- Questions & Answers.
PSYCHOLOGY -- Research & Methodology.
SOCIAL SCIENCE -- Research.
Big data
Qualitative research
Form Electronic book
LC no. 2020693704
ISBN 9780429056413
0429056419
9780429509292
0429509294
0429508670
9780429508677
9780429509919
042950991X