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Language-Agnostic Modeling of Source Reliability on Wikipedia

arXiv — cs.LG•Wednesday, November 5, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

Language-Agnostic Modeling of Source Reliability on Wikipedia

A new language-agnostic model has been developed to evaluate the reliability of web sources cited in Wikipedia articles, aiming to improve the credibility of information across different language editions. This innovative approach assesses domain reliability without relying on language-specific features, making it applicable to a wide range of Wikipedia versions. The model is particularly focused on controversial topics such as climate change, where source reliability is critical. By providing a consistent measure of source trustworthiness, it seeks to enhance the quality of references used in Wikipedia content globally. This development reflects ongoing efforts to address challenges related to misinformation and biased sourcing in online knowledge repositories. The model’s language-agnostic nature allows it to function effectively across diverse linguistic contexts, supporting Wikipedia’s mission to provide accurate and reliable information to a worldwide audience.

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