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Convergence of truth through language links in historical data: convergence beyond battles
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Resumo(s)
Our research examines whether numerical data on historical battles, such as casualty figures or
troop strengths, converge over time across multiple languages on Wikipedia. Our analysis of annual
revisions, reveals no trend of convergence, in most cases the numbers rarely change, with
discrepancies persisting or even increasing over time.
The study also tests these patterns n simpler data categories outside of the battle context, like
bridge length. Findings include persistent barriers, like editorial biases and resource disparities,
that limit numerical consistency and reflect cultural and editing dynamics in global knowledge.
Collectively this thesis finds barriers that limit data alignment across languages and ultimately
reveals that Wikipedia’s goal of unifying knowledge globally faces unaddressed challenges
Descrição
Palavras-chave
Cross-language analysis Historical data convergence Language links Structural categories Data expansion