2015/01/26 by Claudia Wagner, Wagner, Claudia, David García +5 · 5 citations
Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Social and Information Networks (cs.SI) #Wikis in Education and Collaboration
paper · pdf · doi:10.48550/arxiv.1501.06307
openalex publication_date 2015/01/26 · openalex created_date 2022/11/05 · openalex updated_date 2026/07/28
Wikipedia is a community-created encyclopedia that contains information about\nnotable people from different countries, epochs and disciplines and aims to\ndocument the world's knowledge from a neutral point of view. However, the\nnarrow diversity of the Wikipedia editor community has the potential to\nintroduce systemic biases such as gender biases into the content of Wikipedia.\nIn this paper we aim to tackle a sub problem of this larger challenge by\npresenting and applying a computational method for assessing gender bias on\nWikipedia along multiple dimensions. We find that while women on Wikipedia are\ncovered and featured well in many Wikipedia language editions, the way women\nare portrayed starkly differs from the way men are portrayed. We hope our work\ncontributes to increasing awareness about gender biases online, and in\nparticular to raising attention to the different levels in which gender biases\ncan manifest themselves on the web.\n