Discursive dynamics and local contexts on Twitter: The refugee crisis in Europe
In today’s hybrid media environment, traditional news organizations extend their presence on Online Social Networks (OSNs) and compete with political and civil society organizations, public figures, and other influential digital storytelling individuals. This article examines conversations on Twitte...
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| Published in: | Discourse & communication Vol. 17; no. 3; pp. 354 - 380 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London, England
SAGE Publications
01.06.2023
SAGE PUBLICATIONS, INC |
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| ISSN: | 1750-4813, 1750-4821 |
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| Abstract | In today’s hybrid media environment, traditional news organizations extend their presence on Online Social Networks (OSNs) and compete with political and civil society organizations, public figures, and other influential digital storytelling individuals. This article examines conversations on Twitter, one of the most widely used OSNs, about Europe’s refugee crisis in 2014 and 2015. We use, in particular, topic modeling techniques to deduce the existence of a complex network of Twitter topics formed in response to coverage of and opinion formation surrounding the European refugee crisis. We collected more than 11 million tweets in six different languages. One of our most significant findings is that while most conversations happen in English, the refugee crisis has had different rhythms in other languages. Our assumption is that this could be evidence that the power of mainstream local media on Twitter to set the agenda is considerable, at least regarding refugee-related conversations in Europe. |
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| AbstractList | In today’s hybrid media environment, traditional news organizations extend their presence on Online Social Networks (OSNs) and compete with political and civil society organizations, public figures, and other influential digital storytelling individuals. This article examines conversations on Twitter, one of the most widely used OSNs, about Europe’s refugee crisis in 2014 and 2015. We use, in particular, topic modeling techniques to deduce the existence of a complex network of Twitter topics formed in response to coverage of and opinion formation surrounding the European refugee crisis. We collected more than 11 million tweets in six different languages. One of our most significant findings is that while most conversations happen in English, the refugee crisis has had different rhythms in other languages. Our assumption is that this could be evidence that the power of mainstream local media on Twitter to set the agenda is considerable, at least regarding refugee-related conversations in Europe. |
| Author | Stojkov, Aleksandar Warin, Thierry |
| Author_xml | – sequence: 1 givenname: Thierry surname: Warin fullname: Warin, Thierry email: thierry.warin@hec.ca organization: HEC Montréal, Canada – sequence: 2 givenname: Aleksandar surname: Stojkov fullname: Stojkov, Aleksandar organization: Ss. Cyril and Methodius University, North Macedonia |
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| Keywords | Agenda-setting theory natural language processing discourse analysis authority structural topic modeling refugee crisis social media influence |
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| Title | Discursive dynamics and local contexts on Twitter: The refugee crisis in Europe |
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