Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics |
| Subtitle of host publication | Human Language Technologies |
| Editors | Kevin Duh, Helena Gomez, Steven Bethard |
| Place of Publication | Mexico City, Mexico |
| Pages | 3621–3631 |
| Number of pages | 11 |
| ISBN (electronic) | 9798891761148 |
| Publication status | Published - Jun 2024 |
| Event | 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Mexico City, Mexico Duration: 16 Jun 2024 → 21 Jun 2024 |
Publication series
| Name | Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024 |
|---|---|
| Volume | 1 |
Abstract
Metaphorical language is a pivotal element in the realm of political framing. Existing work from linguistics and the social sciences provides compelling evidence regarding the distinctiveness of conceptual framing for political ideology perspectives. However, the nature and utilization of metaphors and the effect on audiences of different political ideologies within political discourses are hardly explored. To enable research in this direction, in this work we create a dataset, originally based on news editorials and labeled with their persuasive effects on liberals and conservatives and extend it with annotations pertaining to metaphorical usage of language. To that end, first, we identify all single metaphors and composite metaphors. Secondly, we provide annotations of the source and target domains for each metaphor. As a result, our corpus consists of 300 news editorials annotated with spans of texts containing metaphors and the corresponding domains of which these metaphors draw from. Our analysis shows that liberal readers are affected by metaphors, whereas conservatives are resistant to them. Both ideologies are affected differently based on the metaphor source and target category. For example, liberals are affected by metaphors in the Darkness & Light (e.g., death) source domains, where as the source domain of Nature affects conservatives more significantly.
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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. ed. / Kevin Duh; Helena Gomez; Steven Bethard. Mexico City, Mexico, 2024. p. 3621–3631 (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; Vol. 1).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Analyzing the Use of Metaphors in News Editorials for Political Framing
AU - Sengupta, Meghdut
AU - El Baff, Roxanne
AU - Alshomary, Milad
AU - Wachsmuth, Henning
N1 - Publisher Copyright: ©2024 Association for Computational Linguistics.
PY - 2024/6
Y1 - 2024/6
N2 - Metaphorical language is a pivotal element in the realm of political framing. Existing work from linguistics and the social sciences provides compelling evidence regarding the distinctiveness of conceptual framing for political ideology perspectives. However, the nature and utilization of metaphors and the effect on audiences of different political ideologies within political discourses are hardly explored. To enable research in this direction, in this work we create a dataset, originally based on news editorials and labeled with their persuasive effects on liberals and conservatives and extend it with annotations pertaining to metaphorical usage of language. To that end, first, we identify all single metaphors and composite metaphors. Secondly, we provide annotations of the source and target domains for each metaphor. As a result, our corpus consists of 300 news editorials annotated with spans of texts containing metaphors and the corresponding domains of which these metaphors draw from. Our analysis shows that liberal readers are affected by metaphors, whereas conservatives are resistant to them. Both ideologies are affected differently based on the metaphor source and target category. For example, liberals are affected by metaphors in the Darkness & Light (e.g., death) source domains, where as the source domain of Nature affects conservatives more significantly.
AB - Metaphorical language is a pivotal element in the realm of political framing. Existing work from linguistics and the social sciences provides compelling evidence regarding the distinctiveness of conceptual framing for political ideology perspectives. However, the nature and utilization of metaphors and the effect on audiences of different political ideologies within political discourses are hardly explored. To enable research in this direction, in this work we create a dataset, originally based on news editorials and labeled with their persuasive effects on liberals and conservatives and extend it with annotations pertaining to metaphorical usage of language. To that end, first, we identify all single metaphors and composite metaphors. Secondly, we provide annotations of the source and target domains for each metaphor. As a result, our corpus consists of 300 news editorials annotated with spans of texts containing metaphors and the corresponding domains of which these metaphors draw from. Our analysis shows that liberal readers are affected by metaphors, whereas conservatives are resistant to them. Both ideologies are affected differently based on the metaphor source and target category. For example, liberals are affected by metaphors in the Darkness & Light (e.g., death) source domains, where as the source domain of Nature affects conservatives more significantly.
UR - http://www.scopus.com/inward/record.url?scp=85199912201&partnerID=8YFLogxK
M3 - Conference contribution
SN - 979-889176114-8
T3 - Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024
SP - 3621
EP - 3631
BT - Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics
A2 - Duh, Kevin
A2 - Gomez, Helena
A2 - Bethard, Steven
CY - Mexico City, Mexico
T2 - 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Y2 - 16 June 2024 through 21 June 2024
ER -