Estimating Gender Completeness in Wikipedia

• URL: http://arxiv.org/abs/2401.08993v1
• Date: Wed, 17 Jan 2024 06:03:31 GMT
• Title: Estimating Gender Completeness in Wikipedia
• Authors: Hrishikesh Patel, Tianwa Chen, Ivano Bongiovanni, Gianluca Demartini
• Abstract summary: The aim of this paper is to provide the Wikipedia community with instruments to estimate the magnitude of the problem for different entity types. Our results show not only which gender for different sub-classes of Person is more prevalent in Wikipedia, but also an idea of how complete the coverage is for difference genders and sub-classes of Person.
• Score: 4.292453466361998
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Gender imbalance in Wikipedia content is a known challenge which the editor community is actively addressing. The aim of this paper is to provide the Wikipedia community with instruments to estimate the magnitude of the problem for different entity types (also known as classes) in Wikipedia. To this end, we apply class completeness estimation methods based on the gender attribute. Our results show not only which gender for different sub-classes of Person is more prevalent in Wikipedia, but also an idea of how complete the coverage is for difference genders and sub-classes of Person.

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