Sengupta, Meghdut und El Baff, Roxanne und Alshomary, Milad und Wachsmuth, Henning (2024) Analyzing the Use of Metaphors in News Editorials for Political Framing. In: 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024. Association for Computational Linguistics. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2024-06-16 - 2024-06-21, Mexico City, Mexico. ISBN 9798891761148. (im Druck)
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Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/203780/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Anderer) | ||||||||||||||||||||
Titel: | Analyzing the Use of Metaphors in News Editorials for Political Framing | ||||||||||||||||||||
Autoren: |
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Datum: | Juni 2024 | ||||||||||||||||||||
Erschienen in: | 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
Herausgeber: |
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Verlag: | Association for Computational Linguistics | ||||||||||||||||||||
Name der Reihe: | NAACL | ||||||||||||||||||||
ISBN: | 9798891761148 | ||||||||||||||||||||
Status: | im Druck | ||||||||||||||||||||
Stichwörter: | metaphors, computational-argumentation, discourse-analysis | ||||||||||||||||||||
Veranstaltungstitel: | 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics | ||||||||||||||||||||
Veranstaltungsort: | Mexico City, Mexico | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 16 Juni 2024 | ||||||||||||||||||||
Veranstaltungsende: | 21 Juni 2024 | ||||||||||||||||||||
Veranstalter : | Katrin Erk, The University of Texas at Austin | ||||||||||||||||||||
HGF - Forschungsbereich: | keine Zuordnung | ||||||||||||||||||||
HGF - Programm: | keine Zuordnung | ||||||||||||||||||||
HGF - Programmthema: | keine Zuordnung | ||||||||||||||||||||
DLR - Schwerpunkt: | keine Zuordnung | ||||||||||||||||||||
DLR - Forschungsgebiet: | keine Zuordnung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | keine Zuordnung | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Softwaretechnologie Institut für Softwaretechnologie > Intelligente und verteilte Systeme | ||||||||||||||||||||
Hinterlegt von: | El Baff, Roxanne | ||||||||||||||||||||
Hinterlegt am: | 02 Jul 2024 09:48 | ||||||||||||||||||||
Letzte Änderung: | 13 Nov 2024 15:18 |
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