The Digital Shift and the Social Research: Methods and Practices

Paolo Diana

in Vernon Press Titles in Economics from Vernon Art and Science Inc

Abstract: 'The Digital Shift and the Social Research Methods and Practices' offers a comprehensive exploration of how the digital era, particularly in the wake of the COVID-19 pandemic, has transformed the field of social research. Drawing on both theoretical discussions and empirical studies, the book provides an in-depth analysis of the impact of digital tools on research methods, behaviour, and interactions, while addressing the ethical challenges that arise in online contexts. The first part of the book examines the expansion of traditional research methods through digital platforms, with a focus on how these innovations shape social norms and practices. The second part shifts attention to education, presenting strategies to improve student engagement and foster collaborative learning in the virtual classroom. The third part highlights groundbreaking case studies from the University of Salerno, illustrating innovative pedagogical approaches in teaching social research methodology. By integrating insights from across the fields of digital research, pedagogy, and ethics, this work challenges researchers and educators alike to rethink conventional approaches and adapt to the rapidly changing digital environment. Ideal for students, educators, and professionals, it serves as both a reference and a practical guide for navigating the evolving landscape of social research. Original and timely, this book will appeal to academics, practitioners, and researchers in social sciences, providing not only theoretical perspectives but also hands-on solutions for digital research and learning environments.

Keywords: Online ethnography; virtual fieldwork; remote teaching tools; digital surveys; data privacy in research; e-learning platforms; hybrid learning models; digital literacy; social media analytics; computational social science; big data in social research; virtual collaboration; user-generated content; network analysis; asynchronous learning; algorithmic bias in research (search for similar items in EconPapers)
Date: 2025 Written 2024-07-24
Edition: 1
ISBN: 979-8-8819-0077-9
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