PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles
Nikolaos Nikolaidis, Nicolas Stefanovitch, Purificação Silvano, Dimitar Iliyanov Dimitrov, Roman Yangarber, Nuno Guimarães, Elisa Sartori, Ion Androutsopoulos
Abstract
We present polyNarrative, a new multilingual dataset of news articles, annotated for narratives. Narratives are overt or implicit claims, recurring across articles and languages, promoting a specific interpretation or viewpoint on an ongoing topic, often propagating mis/disinformation. We developed two-level taxonomies with coarse- and fine-grained narrative labels for two domains: (i) climate change and (ii) the military conflict between Ukraine and Russia. We collected news articles in four languages (Bulgarian, English, Portuguese, and Russian) related to the two domains and manually annotated them at the paragraph level. We make the dataset publicly available, along with experimental results of several strong baselines that assign narrative labels to news articles at the paragraph or the document level. We believe that this dataset will foster research in narrative detection and enable new research directions towards more multi-domain and highly granular narrative related tasks.
BibTeX
@inproceedings{nikolaidis-etal-2025-polynarrative,
title = "{P}oly{N}arrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles",
author = "Nikolaidis, Nikolaos and
Stefanovitch, Nicolas and
Silvano, Purifica{\c{c}}{\~a}o and
Dimitrov, Dimitar Iliyanov and
Yangarber, Roman and
Guimar{\~a}es, Nuno and
Sartori, Elisa and
Androutsopoulos, Ion and
Nakov, Preslav and
Da San Martino, Giovanni and
Piskorski, Jakub",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.1513/",
doi = "10.18653/v1/2025.acl-long.1513",
pages = "31323--31345",
ISBN = "979-8-89176-251-0"
}