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        <title>Metaphorical Framing of Refugees, Asylum Seekers and Immigrants in UKs Left and Right-Wing Media</title>
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        <namePart type="given">Yunxiao</namePart>
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            <title>Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)</title>
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        <name type="personal">
            <namePart type="given">Yuri</namePart>
            <namePart type="family">Bizzoni</namePart>
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            <namePart type="given">Stefania</namePart>
            <namePart type="family">Degaetano-Ortlieb</namePart>
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            <namePart type="given">Anna</namePart>
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    <abstract>The metaphorical framing of refugees, asylum seekers, and immigrants (RASIM) has been widely explored in academia, but mainly through close analysis. The present research outlines a large-scale computational investigation of RASIM metaphors in UKs media discourse. We experiment with a method that facilitates automatic identification of RASIM metaphors in 21 years of RASIM-related news reports from eight popular UK newspapers. From the metaphors extracted, four overarching frames are identified. Further analysis reveals correlations between political bias and metaphor usage: overall, right-biased newspapers use RASIM metaphors more frequently than their left-biased counterparts. Within the metaphorical frames, water, disaster, and non-human metaphors are more prevalent in right-biased media. Additionally, diachronic analysis illustrates that the distinctions between left and right media have evolved over time. Water metaphors, for example, have become increasingly more representative of the political right in the past two decades.</abstract>
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        <date>2024-03</date>
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            <start>18</start>
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%0 Conference Proceedings
%T Metaphorical Framing of Refugees, Asylum Seekers and Immigrants in UKs Left and Right-Wing Media
%A Wang, Yunxiao
%Y Bizzoni, Yuri
%Y Degaetano-Ortlieb, Stefania
%Y Kazantseva, Anna
%Y Szpakowicz, Stan
%S Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F wang-2024-metaphorical
%X The metaphorical framing of refugees, asylum seekers, and immigrants (RASIM) has been widely explored in academia, but mainly through close analysis. The present research outlines a large-scale computational investigation of RASIM metaphors in UKs media discourse. We experiment with a method that facilitates automatic identification of RASIM metaphors in 21 years of RASIM-related news reports from eight popular UK newspapers. From the metaphors extracted, four overarching frames are identified. Further analysis reveals correlations between political bias and metaphor usage: overall, right-biased newspapers use RASIM metaphors more frequently than their left-biased counterparts. Within the metaphorical frames, water, disaster, and non-human metaphors are more prevalent in right-biased media. Additionally, diachronic analysis illustrates that the distinctions between left and right media have evolved over time. Water metaphors, for example, have become increasingly more representative of the political right in the past two decades.
%U https://aclanthology.org/2024.latechclfl-1.3
%P 18-27

Markdown (Informal)

[Metaphorical Framing of Refugees, Asylum Seekers and Immigrants in UKs Left and Right-Wing Media](https://aclanthology.org/2024.latechclfl-1.3) (Wang, LaTeCHCLfL-WS 2024)

• Metaphorical Framing of Refugees, Asylum Seekers and Immigrants in UKs Left and Right-Wing Media (Wang, LaTeCHCLfL-WS 2024)

ACL

• Yunxiao Wang. 2024. Metaphorical Framing of Refugees, Asylum Seekers and Immigrants in UKs Left and Right-Wing Media. In Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024), pages 18–27, St. Julians, Malta. Association for Computational Linguistics.