@article{piskorski-etal-2026-corpus,
    title = "A Corpus of Persuasion Techniques in {S}lavic Languages",
    author = "Piskorski, Jakub  and
      Dimitrov, Dimitar Iliyanov  and
      Ernst, Marina  and
      Haneczok, Jacek  and
      Marcinczuk, Michal  and
      Modzelewski, Arkadiusz  and
      Yangarber, Roman",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.289/",
    pages = "3599--3616",
    abstract = "We present a new corpus of persuasion techniques for Slavic languages. The corpus contains documents from parliamentary debates in Bulgarian and Polish, and from social media in Russian, annotated with persuasion techniques at text-span and sentence level. The techniques come from a taxonomy of 25 fine-grained persuasion techniques, grouped under six broader categories of rhetorical persuasion strategies. The corpus contains approximately 7500 text spans annotated with persuasion techniques, from 222 documents that cover hotly debated topics at both international and national level. We describe the process of corpus creation, provide related statistics, elaborate on topic and persuasion technique correlations. We provide baseline models and benchmark results for detection and classification of persuasion techniques at the text-span level and sentence level, which use classic ML-based and generative AI-based models."
}