A Novel Method for Analysing Racial Bias: Collection of Person Level References
Abstract
We introduce person-based filtering for studying differences in how demographic groups are represented over time. Applying the method to African American and White American figures in Google Books from 1850 to 2000 reveals historical changes in representation while reducing the selection bias of fixed group-reference phrases.
Type
Publication
arXiv preprint
Muhammed Yusuf Kocyigit
Research Scientist at Google
Research scientist working on reliable language model evaluation, data contamination, memorization, and generalization.