@inproceedings{piskorski-etal-2025-semeval,
    title = "{S}em{E}val 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News",
    author = "Piskorski, Jakub  and
      Mahmoud, Tarek  and
      Nikolaidis, Nikolaos  and
      Campos, Ricardo  and
      Mario Jorge, Alipio  and
      Dimitrov, Dimitar  and
      Silvano, Purifica{\c{c}}{\~a}o  and
      Yangarber, Roman  and
      Sharma, Shivam  and
      Chakraborty, Tanmoy  and
      Guimaraes, Nuno  and
      Sartori, Elisa  and
      Stefanovitch, Nicolas  and
      Xie, Zhuohan  and
      Nakov, Preslav  and
      Da San Martino, Giovanni",
    editor = "Rosenthal, Sara  and
      Ros{\'a}, Aiala  and
      Ghosh, Debanjan  and
      Zampieri, Marcos",
    booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2025-08/2025.semeval-1.331/",
    pages = "2610--2643",
    ISBN = "979-8-89176-273-2",
    abstract = "We introduce SemEval-2025 Task 10 on Multilingual Characterization and Extraction of Narratives from Online News, which focuses on the identification and analysis of narratives in online news media. The task is structured into three subtasks: (1) Entity Framing, to identify the roles that relevant entities play within narratives, (2) Narrative Classification, to assign documents fine-grained narratives according to a given, topic-specific taxonomy of narrative labels, and (3) Narrative Extraction, to provide a justification for the dominant narrative of the document. To this end, we analyze news articles across two critical domains, Ukraine-Russia War and Climate Change, in five languages: Bulgarian, English, Hindi, Portuguese, and Russian. This task introduces a novel multilingual and multifaceted framework for studying how online news media construct and disseminate manipulative narratives. By addressing these challenges, our work contributes to the broader effort of detecting, understanding, and mitigating the spread of propaganda and disinformation. The task attracted a lot of interest: 310 teams registered, with 66 submitting official results on the test set."
}