Factual Inconsistencies in Multilingual Wikipedia Tables

Silvia Cappa, Lingxiao Kong, Pille-Riin Peet, Fanfu Wei, Yuchen Zhou +1 more
7/24/2025
cs.CLcs.DBcs.DL

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Abstract

Wikipedia serves as a globally accessible knowledge source with content in over 300 languages. Despite covering the same topics, the different versions of Wikipedia are written and updated independently. This leads to factual inconsistencies that can impact the neutrality and reliability of the encyclopedia and AI systems, which often rely on Wikipedia as a main training source. This study investigates cross-lingual inconsistencies in Wikipedia's structured content, with a focus on tabular data. We developed a methodology to collect, align, and analyze tables from Wikipedia multilingual articles, defining categories of inconsistency. We apply various quantitative and qualitative metrics to assess multilingual alignment using a sample dataset. These insights have implications for factual verification, multilingual knowledge interaction, and design for reliable AI systems leveraging Wikipedia content.

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Cite this paper

@article{cappa2025factual,
  title  = {Factual Inconsistencies in Multilingual Wikipedia Tables},
  author = {Silvia Cappa and Lingxiao Kong and Pille-Riin Peet and Fanfu Wei and Yuchen Zhou and Jan-Christoph Kalo},
  year   = {2025},
  eprint = {2507.18406},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2507.18406v1}
}

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