Details
| Original language | English |
|---|---|
| Title of host publication | WWW '23 |
| Subtitle of host publication | Proceedings of the ACM Web Conference 2023 |
| Pages | 2754-2764 |
| Number of pages | 11 |
| ISBN (electronic) | 9781450394161 |
| Publication status | Published - 30 Apr 2023 |
| Event | 2023 World Wide Web Conference, WWW 2023 - Austin, United States Duration: 30 Apr 2023 → 4 May 2023 |
Abstract
The war in Ukraine seems to have positively changed the attitude toward the critical societal topic of migration in Europe - at least towards refugees from Ukraine. We investigate whether this impression is substantiated by how the topic is reflected in online news and social media, thus linking the representation of the issue on the Web to its perception in society. For this purpose, we combine and adapt leading-edge automatic text processing for a novel multilingual stance detection approach. Starting from 5.5M Twitter posts published by 565 European news outlets in one year, beginning September 2021, plus replies, we perform a multilingual analysis of migration-related media coverage and associated social media interaction for Europe and selected European countries. The results of our analysis show that there is actually a reframing of the discussion illustrated by the terminology change, e.g., from "migrant"to "refugee", often even accentuated with phrases such as "real refugees". However, concerning a stance shift in public perception, the picture is more diverse than expected. All analyzed cases show a noticeable temporal stance shift around the start of the war in Ukraine. Still, there are apparent national differences in the size and stability of this shift.
Keywords
- media coverage, migration, multilingual analysis, online discussion, social media, stance detection, stance shift
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Software
Sustainable Development Goals
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WWW '23: Proceedings of the ACM Web Conference 2023. 2023. p. 2754-2764.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Migration Reframed?
T2 - 2023 World Wide Web Conference, WWW 2023
AU - Wildemann, Sergej
AU - Niederée, Claudia
AU - Elejalde, Erick
N1 - Funding Information: This paper is part of a project that has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement No. 101021866
PY - 2023/4/30
Y1 - 2023/4/30
N2 - The war in Ukraine seems to have positively changed the attitude toward the critical societal topic of migration in Europe - at least towards refugees from Ukraine. We investigate whether this impression is substantiated by how the topic is reflected in online news and social media, thus linking the representation of the issue on the Web to its perception in society. For this purpose, we combine and adapt leading-edge automatic text processing for a novel multilingual stance detection approach. Starting from 5.5M Twitter posts published by 565 European news outlets in one year, beginning September 2021, plus replies, we perform a multilingual analysis of migration-related media coverage and associated social media interaction for Europe and selected European countries. The results of our analysis show that there is actually a reframing of the discussion illustrated by the terminology change, e.g., from "migrant"to "refugee", often even accentuated with phrases such as "real refugees". However, concerning a stance shift in public perception, the picture is more diverse than expected. All analyzed cases show a noticeable temporal stance shift around the start of the war in Ukraine. Still, there are apparent national differences in the size and stability of this shift.
AB - The war in Ukraine seems to have positively changed the attitude toward the critical societal topic of migration in Europe - at least towards refugees from Ukraine. We investigate whether this impression is substantiated by how the topic is reflected in online news and social media, thus linking the representation of the issue on the Web to its perception in society. For this purpose, we combine and adapt leading-edge automatic text processing for a novel multilingual stance detection approach. Starting from 5.5M Twitter posts published by 565 European news outlets in one year, beginning September 2021, plus replies, we perform a multilingual analysis of migration-related media coverage and associated social media interaction for Europe and selected European countries. The results of our analysis show that there is actually a reframing of the discussion illustrated by the terminology change, e.g., from "migrant"to "refugee", often even accentuated with phrases such as "real refugees". However, concerning a stance shift in public perception, the picture is more diverse than expected. All analyzed cases show a noticeable temporal stance shift around the start of the war in Ukraine. Still, there are apparent national differences in the size and stability of this shift.
KW - media coverage
KW - migration
KW - multilingual analysis
KW - online discussion
KW - social media
KW - stance detection
KW - stance shift
UR - http://www.scopus.com/inward/record.url?scp=85152291909&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2302.02813
DO - 10.48550/arXiv.2302.02813
M3 - Conference contribution
AN - SCOPUS:85152291909
SP - 2754
EP - 2764
BT - WWW '23
Y2 - 30 April 2023 through 4 May 2023
ER -