Narrative Media Framing in Political Discourse

Julia Otmakhova; Lea Frermann

doi:10.18653/v1/2025.findings-acl.477

Narrative Media Framing in Political Discourse

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Abstract

Narrative frames are a powerful way of conceptualizing and communicating complex, controversial ideas, however automated frame analysis to date has mostly overlooked this framing device. In this paper, we connect elements of narrativity with fundamental aspects of framing, and present a framework which formalizes and operationalizes such aspects. We annotate and release a data set of news articles in the climate change domain, analyze the dominance of narrative frame components across political leanings, and test LLMs in their ability to predict narrative frames and their components. Finally, we apply our framework in an unsupervised way to elicit components of narrative framing in a second domain, the COVID-19 crisis, where our predictions are congruent with prior theoretical work showing the generalizability of our approach.

Anthology ID:: 2025.findings-acl.477
Volume:: Findings of the Association for Computational Linguistics: ACL 2025
Month:: July
Year:: 2025
Address:: Vienna, Austria
Editors:: Wanxiang Che, Joyce Nabende, Ekaterina Shutova, Mohammad Taher Pilehvar
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 9167–9196
Language:
URL:: https://aclanthology.org/2025.findings-acl.477/
DOI:: 10.18653/v1/2025.findings-acl.477
Bibkey:
Cite (ACL):: Yulia Otmakhova and Lea Frermann. 2025. Narrative Media Framing in Political Discourse. In Findings of the Association for Computational Linguistics: ACL 2025, pages 9167–9196, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):: Narrative Media Framing in Political Discourse (Otmakhova & Frermann, Findings 2025)
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PDF:: https://aclanthology.org/2025.findings-acl.477.pdf

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@inproceedings{otmakhova-frermann-2025-narrative,
    title = "Narrative Media Framing in Political Discourse",
    author = "Otmakhova, Yulia  and
      Frermann, Lea",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-acl.477/",
    doi = "10.18653/v1/2025.findings-acl.477",
    pages = "9167--9196",
    ISBN = "979-8-89176-256-5",
    abstract = "Narrative frames are a powerful way of conceptualizing and communicating complex, controversial ideas, however automated frame analysis to date has mostly overlooked this framing device. In this paper, we connect elements of narrativity with fundamental aspects of framing, and present a framework which formalizes and operationalizes such aspects. We annotate and release a data set of news articles in the climate change domain, analyze the dominance of narrative frame components across political leanings, and test LLMs in their ability to predict narrative frames and their components. Finally, we apply our framework in an unsupervised way to elicit components of narrative framing in a second domain, the COVID-19 crisis, where our predictions are congruent with prior theoretical work showing the generalizability of our approach."
}

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%0 Conference Proceedings
%T Narrative Media Framing in Political Discourse
%A Otmakhova, Yulia
%A Frermann, Lea
%Y Che, Wanxiang
%Y Nabende, Joyce
%Y Shutova, Ekaterina
%Y Pilehvar, Mohammad Taher
%S Findings of the Association for Computational Linguistics: ACL 2025
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-256-5
%F otmakhova-frermann-2025-narrative
%X Narrative frames are a powerful way of conceptualizing and communicating complex, controversial ideas, however automated frame analysis to date has mostly overlooked this framing device. In this paper, we connect elements of narrativity with fundamental aspects of framing, and present a framework which formalizes and operationalizes such aspects. We annotate and release a data set of news articles in the climate change domain, analyze the dominance of narrative frame components across political leanings, and test LLMs in their ability to predict narrative frames and their components. Finally, we apply our framework in an unsupervised way to elicit components of narrative framing in a second domain, the COVID-19 crisis, where our predictions are congruent with prior theoretical work showing the generalizability of our approach.
%R 10.18653/v1/2025.findings-acl.477
%U https://aclanthology.org/2025.findings-acl.477/
%U https://doi.org/10.18653/v1/2025.findings-acl.477
%P 9167-9196

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Markdown (Informal)

[Narrative Media Framing in Political Discourse](https://aclanthology.org/2025.findings-acl.477/) (Otmakhova & Frermann, Findings 2025)

Narrative Media Framing in Political Discourse (Otmakhova & Frermann, Findings 2025)

ACL

Yulia Otmakhova and Lea Frermann. 2025. Narrative Media Framing in Political Discourse. In Findings of the Association for Computational Linguistics: ACL 2025, pages 9167–9196, Vienna, Austria. Association for Computational Linguistics.