Publications

Analyzing race and citizenship bias in Wikidata

Abstract

Since there are limited full-time contributors to Wikidata, the current information might have a bias. In this paper, we examine the race and citizenship bias in general and in regards to STEM representation for scientists, software developers, and engineers. By comparing Wikidata queries to real-world datasets, we discovered that there is an overrepresentation of white individuals and those with citizenship in Europe and North America; the rest are generally underrepresented. We plan to create and implement a bot using a table-linking software to take missing information from the external datasets and insert it into Wikidata to increase minority race representation.

Date
2021
Authors
Zaina Shaik, Filip Ilievski, Fred Morstatter
Conference
2021 IEEE 18th international conference on mobile Ad Hoc and smart systems (MASS)
Pages
665-666
Publisher
IEEE