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Aleksandra Korolova is an Adjunct Research Assistant Professor in the Thomas Lord Department of Computer Science at the University of Southern California. Her research focuses on the optimization algorithms used in social media platforms, particularly those employed by Facebook for ad delivery. She has demonstrated critical insights into how these algorithms affect the visibility of job postings concerning race and gender, as well as their influence on political advertising, leading to the creation of informational filter bubbles. Her work has outlined a new auditing methodology to pinpoint biases introduced by job ad delivery systems and elucidate the explainable differences in qualifications due to these biases. Korolova's commitment to understanding the implications of technology on social equity is evident through her varied contributions to the field.
GRE is NOT required for Master's applicants for 2025-2026.