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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 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 title
Targeting on Social Networking Sites as Sampling Strategy for Online Migrant Surveys: The Challenge of Biases and Search for Possible Solutions
Chapter number 3
Book title
Migration Research in a Digitized World
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-01319-5_3
Book ISBNs
978-3-03-101318-8, 978-3-03-101319-5
Authors

Rocheva, Anna, Varshaver, Evgeni, Ivanova, Nataliya

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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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 > Associate Professor 1 14%
Student > Bachelor 1 14%
Lecturer 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 29%
Social Sciences 2 29%
Unknown 3 43%

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