Artikel
Big (Crisis) Data in Refugee and Migration Studies – Case Study of Ukrainian Refugees
This paper presents a review of Big Data sources that could be helpful in determining, estimating, and forecasting the forced emigration flows of refugees from Ukraine. The text shows how a Big Data approach can help assess refugees’ intentions. Using insights from social-media platforms such as Facebook, Instagram, and YouTube is useful, because data here are available faster than any official data in the refugee crisis triggered by the Russian attack on Ukraine on 24 February 2022.
- Language
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Englisch
- Bibliographic citation
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Journal: Comparative Southeast European Studies ; ISSN: 2701-8202 ; Volume: 70 ; Year: 2022 ; Issue: 3 ; Pages: 540-553 ; Berlin: de Gruyter
- Classification
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Wirtschaft
- Subject
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digital humanities
big data
Ukraine
refugees
- Event
-
Geistige Schöpfung
- (who)
-
Jurić, Tado
- Event
-
Veröffentlichung
- (who)
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de Gruyter
- (where)
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Berlin
- (when)
-
2022
- DOI
-
doi:10.1515/soeu-2022-0048
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Jurić, Tado
- de Gruyter
Time of origin
- 2022
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