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Sophia Zhou

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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 · 0 citations

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