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It's a Man's Wikipedia? Assessing Gender Inequality in an Online Encyclopedia

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arxiv 1501.06307 v2 pith:MWHTH5BO submitted 2015-01-26 cs.CY cs.SI

classification cs.CYcs.SI
keywords wikipediagenderbiasesassessingdifferentencyclopediaonlineportrayed
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Wikipedia is a community-created encyclopedia that contains information about notable people from different countries, epochs and disciplines and aims to document the world's knowledge from a neutral point of view. However, the narrow diversity of the Wikipedia editor community has the potential to introduce systemic biases such as gender biases into the content of Wikipedia. In this paper we aim to tackle a sub problem of this larger challenge by presenting and applying a computational method for assessing gender bias on Wikipedia along multiple dimensions. We find that while women on Wikipedia are covered and featured well in many Wikipedia language editions, the way women are portrayed starkly differs from the way men are portrayed. We hope our work contributes to increasing awareness about gender biases online, and in particular to raising attention to the different levels in which gender biases can manifest themselves on the web.

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  1. Social Media and Academia: How Gender Influences Online Scholarly Discourse

    cs.SI 2025-04 conditional novelty 4.0 of 10

    Female computer science academics receive a higher share of threatening and severely toxic replies on Twitter, and they express stronger emotions in their posts than male academics.

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