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.
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