Research Article: “Gender and Country Biases in Wikipedia Citations to Scholarly Publications”

The article linked below was recently published by JASIST: Journal of the Association for Information Science and Technology. 

Title

Gender and Country Biases in Wikipedia Citations to Scholarly Publications

Authors

Xiang Zheng
University of Wisconsin-Madison

Jiajing Chen
University of Wisconsin-Madison

Erjia Yan
Drexel University

Chaoqun Ni
University of Wisconsin-Madison

Source

JASIST: Journal of the Association for Information Science and Technology
First published: 05 November 2022

DOI: 10.1002/asi.24723

Abstract

Ensuring Wikipedia cites scholarly publications based on quality and relevancy without biases is critical to credible and fair knowledge dissemination. We investigate gender- and country-based biases in Wikipedia citation practices using linked data from the Web of Science and a Wikipedia citation dataset. Using coarsened exact matching, we show that publications by women are cited less by Wikipedia than expected, and publications by women are less likely to be cited than those by men. Scholarly publications by authors affiliated with non-Anglosphere countries are also disadvantaged in getting cited by Wikipedia, compared with those by authors affiliated with Anglosphere countries. The level of gender- or country-based inequalities varies by research field, and the gender-country intersectional bias is prominent in math-intensive STEM fields. To ensure the credibility and equality of knowledge presentation, Wikipedia should consider strategies and guidelines to cite scholarly publications independent of the gender and country of authors.

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