Big Data for Qualitative Research

Big Data for Qualitative Research 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 discusses new concerns about ethics, privacy, and data surveillance for big data qualitative researchers.

Format: Paperback / softback
Length: 78 pages
Publication date: 22 February 2022
Publisher: Taylor & Francis Ltd

Big Data for Qualitative Research delves into the realm of big data, encompassing a comprehensive range of topics essential for small data researchers to grasp. From the immense potential of big data analytics to the methodological and ethical challenges it presents, this book serves as a comprehensive guide. The data we generate in our daily lives is increasingly being digitized, stored, and analyzed by various entities, including web sites, companies, institutions, and governments. Big data refers to vast volumes of rapidly generated, digitally encoded information that often interlinks with other networked data, offering valuable insights into diverse phenomena.

In this book, we explore the transformative possibilities of qualitative methods and analysis for big data. We delve into diverse techniques such as text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. These methods offer innovative approaches to unravel the rich narratives and insights hidden within large datasets.

Furthermore, this book engages in critical debates surrounding new concerns about ethics, privacy, and data surveillance for big data qualitative researchers. It sheds light on the ethical dilemmas and considerations that arise when utilizing qualitative methods in the context of big data, ensuring that researchers navigate these complex issues with integrity and responsibility.

As researchers, it is imperative that we embrace the opportunities presented by big data while also addressing the challenges it presents. This book serves as a valuable resource for those engaged in qualitative and mixed methods research, providing a comprehensive understanding of the potential and limitations of big data. It encourages curiosity, excitement, and even skepticism about the future of big data, urging researchers to engage in meaningful discussions and envision the transformative possibilities it holds for our field.

In conclusion, Big Data for Qualitative Research is a crucial text for researchers seeking to navigate the complex terrain of big data. It offers a comprehensive exploration of the potentials and challenges of qualitative methods and analysis in the context of big data, empowering researchers to leverage this powerful tool for their research endeavors. As the field of big data continues to evolve and expand, this book will remain a valuable resource for researchers, guiding them toward new insights and discoveries.

Dimension: 216 x 138 (mm)
ISBN-13: 9781032288789