First Women, Second Sex: Gender Bias in Wikipedia
Eduardo Graells-Garrido, Mounia Lalmas, Filippo Menczer

TL;DR
This paper investigates gender bias in Wikipedia biographies, revealing differences in how men and women are characterized across metadata, language, and network structure, highlighting underlying biases and their implications.
Contribution
It introduces a methodology for analyzing gender bias in Wikipedia biographies through comparative analysis of metadata, language, and network structure.
Findings
Differences in characterization of men and women in Wikipedia biographies.
Some biases reflect offline societal stereotypes.
Other biases are specific to Wikipedia content and editing practices.
Abstract
Contributing to history has never been as easy as it is today. Anyone with access to the Web is able to play a part on Wikipedia, an open and free encyclopedia. Wikipedia, available in many languages, is one of the most visited websites in the world and arguably one of the primary sources of knowledge on the Web. However, not everyone is contributing to Wikipedia from a diversity point of view; several groups are severely underrepresented. One of those groups is women, who make up approximately 16% of the current contributor community, meaning that most of the content is written by men. In addition, although there are specific guidelines of verifiability, notability, and neutral point of view that must be adhered by Wikipedia content, these guidelines are supervised and enforced by men. In this paper, we propose that gender bias is not about participation and representation only, but…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWikis in Education and Collaboration · Social Media and Politics · Hate Speech and Cyberbullying Detection
