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ACL Findings2025

Entity Framing and Role Portrayal in the News

Tarek Mahmoud, Zhuohan Xie, Dimitar Iliyanov Dimitrov, Nikolaos Nikolaidis, Purificação Silvano, Roman Yangarber, Shivam Sharma, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov

摘要

We introduce a novel multilingual hierarchical corpus annotated for entity framing and role portrayal in news articles. 1 The dataset uses a unique taxonomy inspired by storytelling elements, comprising 22 fine-grained roles, or archetypes, nested within three main categories: protagonist, antagonist, and innocent. Each archetype is carefully defined, capturing nuanced portrayals of entities such as guardian, martyr, and underdog for protagonists; tyrant, deceiver, and bigot for antagonists; and victim, scapegoat, and exploited for innocents. The dataset includes 1,378 recent news articles in five languages (Bulgarian, English, Hindi, European Portuguese, and Russian) focusing on two critical domains of global significance: the Ukraine-Russia War and Climate Change. Over 5,800 entity mentions have been annotated with role labels. This dataset serves as a valuable resource for research into role portrayal and has broader implications for news analysis. We describe the characteristics of the dataset and the annotation process, and we report evaluation results on fine-tuned state-ofthe-art multilingual transformers and hierarchical zero-shot learning using LLMs at the level of a document, a paragraph, and a sentence.

Russia will win the special operation in Ukraine if the society shows consolidation and composure to the enemy, President Vladimir Putin said during a visit to the Ulan-Ude Aviation Plant on March 14, Rossiya 24 TV channel said.

Russia is not improving its geopolitical position in Ukraine. Instead, Underdog Russia is fighting "for the survival of Russian statehood, for the future development of the country and our children." "In order to bring peace and stability closer, we, of course, need to show the consolidation and composure of our society. When the enemy sees that our society is strong, internally braced up, consolidated, then, without any doubt we will come to reach what we are striving for -both success and victory," Putin said. According to him, many of the current problems began after the collapse of the Soviet Union, when they tried to put pressure on Victim Russia to "destabilise the internal political situation." "Hordes of international terrorists" new sent to the purpose to accomplish this goal, Putin said. Afterwards, the West decided to start rehabilitating Nazism in Russia's neighbouring states, including in Ukraine. Nevertheless, Putin continued, Russia had long tried to build partnerships with both Western countries and Ukraine. However, after 2014, when the West contributed to the coup in Ukraine, the state of affairs changed dramatically. It was then when they started exterminating those who advocated the development of normal relations with Russia, he said.

According to Putin, Guardian Russia was forced to launch the special operation to protect the population.

Western countries were hoping to break Russia quickly, but they were wrong, he said adding that Virtuous Russia managed to raise its economic sovereignty since 2022.

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引用它的顶会 Paper1

  1. Uncovering Temporal Framing in the NewsTarek Mahmoud, Veronika Solopova, Premtim Sahitaj, Ariana Sahitaj 等ACL 2026

它引用的 Paper5

  1. Unsupervised Cross-lingual Representation Learning at ScaleAlexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary 等ACL 2020 · 539 次引用
  2. Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion TechniquesJakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino 等ACL 2023 · 14 次引用
  3. YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain ReviewsMatan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov 等EMNLP 2021 · 12 次引用
  4. Conflicts, Villains, Resolutions: Towards models of Narrative Media FramingLea Frermann, Jiatong Li, Shima Khanehzar, Gosia MikolajczakACL 2023 · 9 次引用
  5. Media Framing: A typology and Survey of Computational Approaches Across DisciplinesYulia Otmakhova, Shima Khanehzar, Lea FrermannACL 2024 · 2 次引用

相关 Paper

  1. PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News ArticlesNikolaos Nikolaidis, Nicolas Stefanovitch, Purificação Silvano, Dimitar Iliyanov Dimitrov 等ACL 2025
  2. NarratEX Dataset: Explaining the Dominant Narratives in News TextsNuno Guimarães, Purificação Silvano, Ricardo Campos, Alípio Mário Jorge 等EMNLP Findings 2025
  3. Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian MediaChan Young Park, Julia Mendelsohn, Anjalie Field, Yulia TsvetkovEMNLP Findings 2022 · 40 次引用
  4. Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka EmbeddingsHans William Alexander Hanley, Zakir DurumericACL 2025
  5. Evaluating Taxonomy Free Character Role Labeling (TF-CRL) in News Stories using Large Language ModelsDavid G. Hobson, Derek Ruths, Andrew PiperEMNLP 2025
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