How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
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Abstract (arXiv)
Metaphors are widely used in political rhetoric as an effective framing device. While the efficacy of specific metaphors such as the war metaphor in political discourse has been documented before, those studies often rely on small number of hand-coded instances of metaphor use. Larger-scale topic-agnostic studies are required to establish the general persuasiveness of metaphors as a device, and to shed light on the broader patterns that guide their persuasiveness. In this paper, we present a large-scale data-driven study of metaphors used in political discourse. We conduct this study on a publicly available dataset of over 85K posts made by 412 US politicians in their Facebook public pages, up until Feb 2017. Our contributions are threefold: we show evidence that metaphor use correlates with ideological leanings in complex ways that depend on concurrent political events such as winning or losing elections; we show that posts with metaphors elicit more engagement from their audience overall even after controlling for various socio-political factors such as gender and political party affiliation; and finally, we demonstrate that metaphoricity is indeed the reason for increased engagement of posts, through a fine-grained linguistic analysis of metaphorical vs. literal usages of 513 words across 70K posts.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 4 of its 53 references that are in the map. First posted on arXiv 8 Apr 2021.
Builds on
4 of 53 references.
References · 4
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
- 2018Neural Metaphor Detection in Contextcited by 34
- 2014The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twittercited by 21
- 2017Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detectioncited by 7
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 1; 2026: 1.
4 papers.
- 2022Leveraging a New Spanish Corpus for Multilingual and Crosslingual Metaphor Detectioncited by 5
- 2024Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretationcited by 5
- 2025When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Modelscited by 4
- 2026Not all ANIMALs are equal: metaphorical framing through source domains and semantic framescited by 2
- 2026Not all ANIMALs are equal: metaphorical framing through source domains and semantic frames22 Apr 2026
- 2025When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models18 Feb 2025
- 2024Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation10 Apr 2024
- 2022Leveraging a New Spanish Corpus for Multilingual and Crosslingual Metaphor Detection19 Oct 2022