The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse

Open Access
Authors
Publication date 2020
Host editors
  • T. Cohn
  • Y. He
  • Y. Liu
Book title Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020
Book subtitle 16-20 November, 2020
ISBN (electronic)
  • 9781952148903
Event 2020 Conference on Empirical Methods in Natural Language Processing
Pages (from-to) 4479-4488
Number of pages 10
Publisher Stroudsburg, PA: The Association for Computational Linguistics
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
  • Faculty of Social and Behavioural Sciences (FMG)
Abstract
There has been an increased interest in modelling political discourse within the natural language processing (NLP) community, in tasks such as political bias and misinformation detection, among others. Metaphor-rich and emotion-eliciting communication strategies are ubiquitous in political rhetoric, according to social science research. Yet, none of the existing computational models of political discourse has incorporated these phenomena. In this paper, we present the first joint models of metaphor, emotion and political rhetoric, and demonstrate that they advance performance in three tasks: predicting political perspective of news articles, party affiliation of politicians and framing of policy issues.
Document type Conference contribution
Note Volume comprises papers selected from those submitted to EMNLP 2020 which were not selected to appear at the main conference.
Language English
Published at https://doi.org/10.18653/v1/2020.findings-emnlp.402
Downloads
2020.findings-emnlp.402 (Final published version)
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