A Corpus of Persuasion Techniques in Slavic Languages
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Abstract (arXiv)
Persuasion techniques are powerful rhetorical devices used to sway public opinion in a wide range of media. We present a new corpus of persuasion techniques, focusing on Slavic languages. The corpus contains documents in Bulgarian, Polish, and Russian, annotated with persuasion techniques at the coarse-grained text-span level and fine-grained sentence level. The techniques are drawn from a taxonomy of 25 fine-grained persuasion techniques, grouped under six broad categories of rhetorical persuasion strategies. The corpus contains approximately 7500 text spans from 222 documents that cover topics hotly debated at the national and international levels. We describe the corpus creation process, provide detailed statistics, and examine correlations between topics and persuasion techniques. We use classic ML-based and generative AI-based models to provide baselines and benchmark results for the detection and classification of persuasion techniques at the text-span level and sentence level.
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References · 8
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2019Fine-Grained Analysis of Propaganda in News Articlescited by 133
- 2020SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articlescited by 81
- 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 50
- 2017Argotario: Computational Argumentation Meets Serious Gamescited by 30
- 2019Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detectioncited by 24
- 2025PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformationcited by 11
- 2024Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Modelscited by 1
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