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The Rashomon Wikipedia: A Data-Perspectivist Analysis of Divergent Historical Narratives — arXiv:2609.37498
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- arXiv (en)
- Original
- https://arxiv.org/abs/2609.37498
- License (as archived)
- CC0-1.0
- Archived
- 2026-10-07T16:56:58.797Z
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The Rashomon Wikipedia: A Data-Perspectivist Analysis of Divergent Historical Narratives — arXiv:2609.37498 — arXiv (en), https://arxiv.org/abs/2609.37498 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_b653be378edd (Metraipolis archive dc_b653be378edd, sha256 9ca6b820869a6b4a3644ef9502f8dc77081f5f98728638178ba395e2c1ed186b)
BibTeX
@misc{dcb653be378edd,
title = {The Rashomon Wikipedia: A Data-Perspectivist Analysis of Divergent Historical Narratives — arXiv:2609.37498},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2609.37498},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_b653be378edd; sha256 9ca6b820869a6b4a3644ef9502f8dc77081f5f98728638178ba395e2c1ed186b},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.37498. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Wikipedia aims to provide a unified, neutral record of history, yet its independent language editions often function as distinct epistemic communities, creating divergent narratives around contested events. This paper investigates cross-lingual historiographical bias by analyzing Wikipedia articles across five languages (Romanian, Hungarian, Russian, Turkish, and English) focusing on three contentious events in Romanian history: the Battle of Posada (1330), the Soviet occupation of Bessarabia (1940), and the Night Attack at Targoviste (1462). Using human annotators and Large Language Models (LLMs) to classify citation stance and quantify narrative evolution from 2005 to 2024, we identify a phenomenon of "citation isolation". In the case of the Battle of Posada, only 2 out of 119 citations were shared between language editions, with the Romanian edition exhibiting a 91% pro-national bias compared to the balanced Hungarian edition. Longitudinal analysis reveals that these narratives are volatile and responsive to contemporary geopolitics, evidenced by a significant shift in the Russian framing of Bessarabia in 2024. Finally, we propose a "Peace-Maker" pipeline to automate conflict reconciliation. We demonstrate that while standard prompting leads models to hallucinate consensus, "adversarial" prompting, which explicitly instructs the model to preserve and attribute disagreement, achieves near-perfect neutrality scores. Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-30 in cs.CL). Categorie arXiv: Computation and Language (cs.CL). Pagina del lavoro: https://arxiv.org/abs/2609.37498 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina. Letto il 2026-10-07T16:27:03.300Z dalla pagina https://arxiv.org/catchup/cs.CL/2026-09-30?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).