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Migration Research in a Digitized World

Overview of attention for book
Migration Research in a Digitized World
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Using Innovative Technologies to Tackle Methodological Challenges in Migration Research
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    Chapter 2 Innovative Sample Designs for Studies of Refugees and Internally Displaced Persons
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    Chapter 3 Targeting on Social Networking Sites as Sampling Strategy for Online Migrant Surveys: The Challenge of Biases and Search for Possible Solutions
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    Chapter 4 Web-Based Respondent-Driven Sampling in Research on Multiple Migrants: Challenges and Opportunities
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    Chapter 5 Computer-Assisted Migration Research: What We Can Learn About Source Questionnaire Design and Translation from the Software Localization Field
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    Chapter 6 Surveying Illiterate Individuals: Are Audio Files in Computer-Assisted Self-Interviews a Useful Supportive Tool?
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    Chapter 7 Leveraging the Web for Migration Studies: Data Sources and Data Extraction
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    Chapter 8 How Canada’s Data Ecosystem Offers Insights on the Options for Studying Migration in an Unprecedented Era of Information
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    Chapter 9 Assessing Transnational Human Mobility on a Global Scale
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    Chapter 10 Google Trends as a Tool for Public Opinion Research: An Illustration of the Perceived Threats of Immigration
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    Chapter 11 Conclusion: Migration Research in Times of Ubiquitous Digitization
Attention for Chapter 7: Leveraging the Web for Migration Studies: Data Sources and Data Extraction
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Readers on

mendeley
7 Mendeley
Summary
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Chapter title
Leveraging the Web for Migration Studies: Data Sources and Data Extraction
Chapter number 7
Book title
Migration Research in a Digitized World
Published by
Springer, Cham, July 2022
DOI 10.1007/978-3-031-01319-5_7
Book ISBNs
978-3-03-101318-8, 978-3-03-101319-5
Authors

Sebastian Rinken, José Luis Ortega, Rinken, Sebastian, Ortega, José Luis

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Social Sciences 2 29%
Arts and Humanities 1 14%
Economics, Econometrics and Finance 1 14%
Computer Science 1 14%
Unknown 2 29%

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