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Initial Evaluation of Potential Bias in Coverage of Humans in Wikidata

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Introduction. Open collaborative knowledge graphs such as Wikidata increasingly ground agentic artificial intelligence, information retrieval, and language modeling systems, making systematic auditing of their demographic representation and overall equity a research imperative. Methods. Herein, we present an open-source auditing platform that ingests over 10 million statement bindings representing over 6 million humans on Wikidata via QLever, and evaluates representation of gender, sexual orientation, geography, birthplace urbanicity, ethnicity, multilingual coverage of labels, descriptions, a

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Evidence & attribution

First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.