Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/265541 
Authors: 
Year of Publication: 
2022
Citation: 
[Journal:] Comparative Southeast European Studies [ISSN:] 2701-8202 [Volume:] 70 [Issue:] 3 [Publisher:] de Gruyter [Place:] Berlin [Year:] 2022 [Pages:] 540-553
Publisher: 
de Gruyter, Berlin
Abstract: 
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.
Subjects: 
digital humanities
big data
Ukraine
refugees
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Document Version: 
Published Version
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