![]() We document an Anglo-Saxon bias present in the English edition of Wikipedia, and document when it matters and when not. ![]() Data collection is driven by specific social science questions on gender, economic growth, urban and cultural development. ![]() Our strategy results in a cross-verified database of 2.29 million individuals (an elite of 1/43,000 of human being having ever lived), including a third who are not present in the English edition of Wikipedia. We find very few errors in the part of the database that contains the most documented individuals but nontrivial error rates in the bottom of the notability distribution, due to sparse information and classification errors or ambiguity. For some variables, Wikipedia adds 15% more information when missing in Wikidata. Using deduplication techniques over these partially overlapping sources, we cross-verify each retrieved information. We collect a massive amount of data from various editions of Wikipedia and Wikidata. A new strand of literature aims at building the most comprehensive and accurate database of notable individuals.
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