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Searching for migration: estimating Japanese migration to Europe with Google Trends data
Bert Leysen1, Pieter-Paul Verhaeghe1
1Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, Room 2.05, 1050 Brussels, Belgium.
Quality & Quantity
|November 21, 2022
Summary
Google Trends data shows potential for predicting migration flows, even for complex cases like Japanese migration to Europe. However, careful consideration and further research are needed to overcome limitations.
Area of Science:
- Computational Social Science
- Migration Studies
- Data Science
Background:
- Traditional migration flow data is limited.
- Google Trends data offers a novel complement or replacement for traditional data.
- Existing research on Google Trends for migration prediction has a Western bias.
Purpose of the Study:
- To evaluate the predictive potential of Google Trends data for Japanese migration flows to Europe.
- To address the challenges posed by the Japanese language and migration characteristics.
- To test the aspirations and (cap)ability theory using Google Trends data.
Main Methods:
- Utilizing Google Trends data (search frequencies).
- Applying methods to Japanese migration flows to Europe.
- Analyzing Japanese language complexities (writing systems).
- Examining migration flow stability and size.
Main Results:
- Google Trends data demonstrates potential for satisfactory migration flow predictions.
- Significant challenges exist, requiring careful investigation.
- The method can be used to empirically test theoretical approaches to migration.
Conclusions:
- Google Trends is a promising tool for migration flow prediction, but not without obstacles.
- Thorough prior investigation is crucial for non-standard cases.
- Further research is necessary to validate findings and address limitations.
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