Jarno Nilson Balk

Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study

This study reproduces the effectiveness of MORAL, a post-processing method that improves exposure-based fairness while maintaining competitive utility, and shows that exposure-based metrics uncover biases hidden by $\Delta_\mathrm{DP}$ and that MORAL reduces these biases with minimal utility loss across diverse settings and datasets.