Open access
Aug 2026
Predicting Hate Crime Bias Using Machine Learning Based on Multidimensional Socio-demographic and Incident Features
This study applies a Random Forest classifier to the FBI's national Uniform Crime Reporting (UCR) dataset containing 218,069 single-bias hate crimes from 1991to 2020 to demonstrate the predictability of indicators within official records.
Sophia Zhou
· Applied and Computational En... · 0 citations