Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Understanding the Ukrainian migrants challenges in the EU: a topic modeling approach
Umeå University, Faculty of Science and Technology, Department of Computing Science. National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine.ORCID iD: 0000-0002-9826-0286
Gdansk University of Technology, Gdansk, Poland.
University of the Aegean, Athens, Greece.
Gdansk University of Technology, Gdansk, Poland.
Show others and affiliations
2024 (English)In: dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research / [ed] Hsin-Chung Liao; David Duenas Cid; Marie Anne Macadar; Flavia Bernardini, Association for Computing Machinery (ACM), 2024, p. 196-205Conference paper, Published paper (Refereed)
Abstract [en]

Confronted with the aggression against Ukraine in 2022, Europe faces one of the most important humanitarian challenges - the migration of war refugees from Ukraine, most of them women with children and the elderly. Both international institutions such as the European Union and the United Nations, but also national governments and, above all, local governments, which are the main providers of services and resources for refugees, are taking a number of measures to meet the needs. The extraordinary nature and extensive humanitarian needs pose exceptional challenges for both governments and Non-Governmental Organizations (NGOs) as well as civil society. The European countries adopted distinct reception procedures to accommodate war refugees in their territories. The purpose of this paper is to examine the challenges of war refugees from Ukraine and gain an understanding of how they vary across selected European countries. Using a text analytics approach such as BERTopic topic modeling, we analyzed text messages published on Telegram channels from February 2022 to September 2023, revealing 12 challenges facing Ukrainian migrants. Furthermore, our study delves into these challenges distribution across 6 major European countries with significant migrant populations, providing insights into regional differences. Additionally, temporal changes in 8 narrative themes in discussions of Ukrainian migration, extracted from official government websites, were examined. Together, this research contributes (1) to demonstrating how analytics-driven methodology can potentially be used to extract in-depth knowledge from textual data freely available on social media; and (2) to a deeper understanding of the various issues affecting the adaptation of Ukrainian migrants in European countries. The study also provides recommendations to improve programs and policies to better support the successful integration of Ukrainian migrants in host countries.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2024. p. 196-205
Series
ACM International Conference Proceeding Series
Keywords [en]
European countries, Migration challenges, Social media, Topic Modelling, Ukraine
National Category
International Migration and Ethnic Relations Computer and Information Sciences
Identifiers
URN: urn:nbn:se:umu:diva-226180DOI: 10.1145/3657054.3657252ISI: 001238979900019Scopus ID: 2-s2.0-85195266600ISBN: 9798400709883 (electronic)OAI: oai:DiVA.org:umu-226180DiVA, id: diva2:1874347
Conference
dg.o 2024: 25th Annual International Conference on Digital Government Research, Taipei, Taiwan, June 11-14, 2024
Available from: 2024-06-20 Created: 2024-06-20 Last updated: 2025-04-24Bibliographically approved

Open Access in DiVA

fulltext(1057 kB)109 downloads
File information
File name FULLTEXT01.pdfFile size 1057 kBChecksum SHA-512
e2e5e1ef8b72c4ebe9de2e7bea00487f476ee32744dba583fa95ebaf28756a6107402045af3ed03a08716a2c962ae3c877c3fd61e9338ff147a7e5c9d654ed8c
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Khairova, Nina

Search in DiVA

By author/editor
Khairova, Nina
By organisation
Department of Computing Science
International Migration and Ethnic RelationsComputer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 111 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 407 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf