A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866912963575676928 |
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| author | Mohanty, Dikshya Sabadyn, Taisiia Rodrigues, Jelwin Wang, Chenlu Kalugade, Abhishek Banerjee, Ritwik |
| author_facet | Mohanty, Dikshya Sabadyn, Taisiia Rodrigues, Jelwin Wang, Chenlu Kalugade, Abhishek Banerjee, Ritwik |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_16309 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War Mohanty, Dikshya Sabadyn, Taisiia Rodrigues, Jelwin Wang, Chenlu Kalugade, Abhishek Banerjee, Ritwik Computation and Language Social and Information Networks 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. |
| title | A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War |
| topic | Computation and Language Social and Information Networks |
| url | https://arxiv.org/abs/2601.16309 |