Exploring the German-Language Twittersphere: Network Analysis of Discussions on the Syrian and Ukrainian Refugee Crises

Kurzanzeige
dc.contributor.authorKiyak, Sercan
dc.contributor.authorDe Coninck, David
dc.contributor.authorMertens, Stefan
dc.contributor.authord’Haenens, Leen
dc.date.accessioned2023-10-30T14:23:41Z
dc.date.available2023-10-30T14:23:41Z
dc.date.issued2023
dc.description.abstractThis study conducts a comparative analysis of Twitter communication networks relating to the Syrian and Ukrainian refugee crises. Employing a network analysis approach, the study uses approximately 660,000 tweets to gain insights into the online discussion communities surrounding these crises. Tweets specifically discussing Syrian refugees were collected between 2015 and 2023, while those about Ukrainians were harvested from 2022 to 2023, utilizing the full-archive search endpoint of the Twitter API. By transforming retweets into communication networks between users, the study investigates the community structure within these networks. The findings reveal that the online anti-refugee community is smaller in size, more active, highly interconnected, and transcends national boundaries, in contrast to the opposing communities. These results underscore the need for increased social media engagement of pro-refugee voices and improved moderation practices to foster a more inclusive virtual public sphere.
dc.description.sponsorshipThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII121, 16DII122, 16DII123, 16DII124, 16DII125, 16DII126, 16DII127, 16DII128 – “Deutsches Internet-Institut”).
dc.identifier.citationKiyak, S., De Coninck, D., Mertens, S., & d’Haenens, L. (2023). Exploring the German-Language Twittersphere: Network Analysis of Discussions on the Syrian and Ukrainian Refugee Crises. Weizenbaum Conference Proceedings 2023. AI, Big Data, Social Media, and People on the Move, 46–58. https://doi.org/10.34669/wi.cp/5.5
dc.identifier.doihttps://doi.org/10.34669/wi.cp/5.5
dc.identifier.issn2510-7666
dc.identifier.urihttps://doi.org/10.34669/wi.cp/5.5
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/396
dc.language.isoeng
dc.publisherWeizenbaum Institute
dc.relation.ispartofhttps://doi.org/10.34669/wi.cp/5
dc.relation.ispartofseriesWeizenbaum Conference Proceedings
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMigration
dc.subjectSocial Network Analysis
dc.subjectTwitter
dc.subjectSyria
dc.subjectUkraine
dc.subjectGermany
dc.subject.ddc070 Publizistische Medien, Journalismus & Verlagswesen
dc.subject.ddc320 Politikwissenschaft
dc.titleExploring the German-Language Twittersphere: Network Analysis of Discussions on the Syrian and Ukrainian Refugee Crises
dc.typeConferencePaper
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.originalpublisherplaceBerlin
dcterms.bibliographicCitation.pageend58
dcterms.bibliographicCitation.pagestart46
Dateien
OriginalbĂĽndel
Gerade angezeigt 1 - 1 von 1
Vorschaubild
Name:
WI.CP.5.5_Kiyak_ea.pdf
Größe:
1.05 MB
Format:
Adobe Portable Document Format
Beschreibung:
Herunterladen
Sammlungen
Proceedings of the Weizenbaum Conference 2023. AI, Big Data, Social Media and People on the Move