 | Big Data for Qualitative Research Subjects: Behavioral Sciences; Research Methods ; Qualitative Methods; Research Methods for Social and Behavioral Sciences; Psychological Science; Psychological Methods & Statistics; 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. Kathy A. Mills is Professor of Literacies and Digital Cultures, Institute for Learning Sciences and Teacher Education, Australian Catholic University, Brisbane. A prolific, award-winning academic author, ethnographer, and Future Fellow of the Australian Research Council, she is also Chair of the American Educational Research Association Writing and Literacies Special Interest Group and serves on a number of international journal editorial boards. |
