Our kind of people? Detecting populist references in political debates

Klamm, Christopher ; Rehbein, Ines ; Ponzetto, Simone Paolo

URL: https://aclanthology.org/2023.findings-eacl.91/
Document Type: Conference or workshop publication
Year of publication: 2023
Book title: Findings of EACL 2023 : The 17th Conference of the European Chapter of the Association for Computational Linguistics
Page range: 1227-1243
Conference title: EACL 2023
Location of the conference venue: Dubrovnik, Croatia
Date of the conference: 02.-06.05.2023
Publisher: Moschitti, Alessandro
Place of publication: Dubrovnik, Croatia
Publishing house: Association for Computational Linguistics
ISBN: 978-1-959429-47-0
Related URLs:
Publication language: English
Institution: Außerfakultäre Einrichtungen > SFB 884
School of Business Informatics and Mathematics > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
Subject: 004 Computer science, internet
Abstract: This paper investigates the identification of populist rhetoric in text and presents a novel cross-lingual dataset for this task. Our work is based on the definition of populism as a "communication style of political actors that refers to the people" but also includes anti-elitism as another core feature of populism. Accordingly, we annotate references to The People and The Elite in German and English parliamentary debates with a hierarchical scheme. The paper describes our dataset and annotation procedure and reports inter-annotator agreement for this task. Next, we compare and evaluate different transformer-based model architectures on a German dataset and report results for zero-shot learning on a smaller English dataset. We then show that semi-supervised tri-training can improve results in the cross-lingual setting. Our dataset can be used to investigate how political actors talk about The Elite and The People and to study how populist rhetoric is used as a strategic device.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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