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