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Framing War Across Languages: Power, Agency, and Sentiment in Wikipedia's Multilingual War Narratives
- Source
- arXiv — Computers and Society
- Published
- Last verified
- 27 Aug 2026
- Confidence
- High
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Research & Evidence, Technology & Data
Executive summary
What happened, and why should leadership care?
Research into Wikipedia's multilingual war narratives indicates that while the platform aims for neutrality, descriptions of combatants vary systematically across 20 language editions, especially when languages describe conflicts involving their own linguistic communities. This variation is analyzed through connotation frames, assessing power, agency, and sentiment.
Why this matters
Why is this strategically important?
This research highlights challenges in achieving objective information representation in global, collaboratively produced knowledge bases, especially concerning sensitive historical events. Understanding these linguistic and cultural biases is crucial for international relations, information governance, and the development of fair and accurate global communication platforms.
Key insights
What should be noted from the evidence?
- Wikipedia's neutrality objective for historical conflicts is challenged by variations across language editions, authored by distinct linguistic and cultural communities.
- The study analyzed 158 wars since 1900 across 20 Wikipedia language editions.
- Connotation frames (power, agency, sentiment) were used to examine how each language portrays conflict parties.
- Systematic differences were found in how language editions describe wars involving their own communities, with varying directions of asymmetry.
- The abstract suggests that differences are less pronounced when conflicts do not involve the linguistic communities of the language editions, though this specific finding is partially truncated in the provided source text.
Evidence and confidence
How far can this assessment be trusted?
High confidence. Named institution, original document retained and analysis corroborated.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by arXiv — Computers and Society · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication