@inproceedings{mohanty-etal-2026-longitudinal,
title = "A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-{U}krainian War",
author = "Mohanty, Dikshya and
Sabadyn, Taisiia and
Rodrigues, Jelwin and
Wang, Chenlu and
Kalugade, Abhishek and
Banerjee, Ritwik",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.512/",
doi = "10.63317/5ecxdux9s9ft",
pages = "6452--6471",
abstract = "We present DNIPRO, a corpus of 246K news articles from the Russo-Ukrainian war (Feb 2022 {--} Aug 2024) spanning eleven outlets across five nation-states (Russia, Ukraine, U.S., U.K., China) and three languages. The corpus features comprehensive metadata and human-evaluated annotations for stance, sentiment, and topical framing, enabling systematic analysis of competing geopolitical narratives. It is uniquely suited for empirical studies of narrative divergence, media framing, and information warfare. Our exploratory analyses reveal how media outlets construct incompatible realities through divergent attribution and topical selection without direct refutation of opposing narratives. dnipro empowers empirical research on narrative evolution, cross-lingual information flow, and computational detection of implicit contradictions in fragmented information ecosystems."
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<abstract>We present DNIPRO, a corpus of 246K news articles from the Russo-Ukrainian war (Feb 2022 – Aug 2024) spanning eleven outlets across five nation-states (Russia, Ukraine, U.S., U.K., China) and three languages. The corpus features comprehensive metadata and human-evaluated annotations for stance, sentiment, and topical framing, enabling systematic analysis of competing geopolitical narratives. It is uniquely suited for empirical studies of narrative divergence, media framing, and information warfare. Our exploratory analyses reveal how media outlets construct incompatible realities through divergent attribution and topical selection without direct refutation of opposing narratives. dnipro empowers empirical research on narrative evolution, cross-lingual information flow, and computational detection of implicit contradictions in fragmented information ecosystems.</abstract>
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%0 Conference Proceedings
%T A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War
%A Mohanty, Dikshya
%A Sabadyn, Taisiia
%A Rodrigues, Jelwin
%A Wang, Chenlu
%A Kalugade, Abhishek
%A Banerjee, Ritwik
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F mohanty-etal-2026-longitudinal
%X We present DNIPRO, a corpus of 246K news articles from the Russo-Ukrainian war (Feb 2022 – Aug 2024) spanning eleven outlets across five nation-states (Russia, Ukraine, U.S., U.K., China) and three languages. The corpus features comprehensive metadata and human-evaluated annotations for stance, sentiment, and topical framing, enabling systematic analysis of competing geopolitical narratives. It is uniquely suited for empirical studies of narrative divergence, media framing, and information warfare. Our exploratory analyses reveal how media outlets construct incompatible realities through divergent attribution and topical selection without direct refutation of opposing narratives. dnipro empowers empirical research on narrative evolution, cross-lingual information flow, and computational detection of implicit contradictions in fragmented information ecosystems.
%R 10.63317/5ecxdux9s9ft
%U https://aclanthology.org/2026.lrec-1.512/
%U https://doi.org/10.63317/5ecxdux9s9ft
%P 6452-6471
Markdown (Informal)
[A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War](https://aclanthology.org/2026.lrec-1.512/) (Mohanty et al., LREC 2026)
ACL
- Dikshya Mohanty, Taisiia Sabadyn, Jelwin Rodrigues, Chenlu Wang, Abhishek Kalugade, and Ritwik Banerjee. 2026. A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 6452–6471, Palma de Mallorca, Spain. ELRA Language Resource Association.