Editors:
This book is open access, meaning you have free and unlimited access
Explores methodological and ethical challenges in digital migration research
Bridges critical migration and border research, anthropology, feminist theory and more
Calls for new modes of caring for (big) data when researching migrants’ digital practices
Part of the book series: Approaches to Social Inequality and Difference (ATSIAD)
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Table of contents (11 chapters)
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Front Matter
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Digital and Qualitative Data Dynamics
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Front Matter
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Ethical Challenges in Digital Migration Research and Beyond
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Front Matter
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Back Matter
About this book
Keywords
- Migration
- Digital technologies
- Research ethics
- Social media
- Ethnography
- Privacy
- Data Sets
- Big Data
- Digital Humanities
- Open Access
Reviews
Editors and Affiliations
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Centre for Advanced Migration Studies, the SAXO Institute, University of Copenhagen, Copenhagen, Denmark
Marie Sandberg
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Digital Design, IT University of Copenhagen, Copenhagen, Denmark
Luca Rossi
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Center for Digital Welfare, IT University of Copenhagen, Copenhagen, Denmark
Vasilis Galis
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Department of Culture and Learning, Aalborg University, Aalborg, Denmark
Martin Bak Jørgensen
About the editors
Bibliographic Information
Book Title: Research Methodologies and Ethical Challenges in Digital Migration Studies
Book Subtitle: Caring For (Big) Data?
Editors: Marie Sandberg, Luca Rossi, Vasilis Galis, Martin Bak Jørgensen
Series Title: Approaches to Social Inequality and Difference
DOI: https://doi.org/10.1007/978-3-030-81226-3
Publisher: Palgrave Macmillan Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
License: CC BY
Hardcover ISBN: 978-3-030-81225-6Published: 24 November 2021
Softcover ISBN: 978-3-030-81228-7Published: 24 November 2021
eBook ISBN: 978-3-030-81226-3Published: 23 November 2021
Edition Number: 1
Number of Pages: XVI, 262
Number of Illustrations: 7 illustrations in colour
Topics: Sociology of Migration, Social Media, Digital and New Media, Digital Humanities, Big Data