Big (Crisis) Data in Refugee and Migration Studies – Case Study of Ukrainian Refugees

Tado Jurić

EconStor Open Access Articles and Book Chapters, 2022, vol. 70, issue 3, 540-553

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.

Keywords: digital humanities; big data; Ukraine; refugees (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:265541

DOI: 10.1515/soeu-2022-0048

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