FairSNA: Algorithmic Fairness in Social Network Analysis
Akrati Saxena,
George Fletcher,
Mykola Pechenizkiy
Abstract:In recent years, designing fairness-aware methods has received much attention in various domains, including machine learning, natural language processing, and information retrieval. However, in social network analysis (SNA), designing fairness-aware methods for various research problems by considering structural bias and inequalities of large-scale social networks has not received much attention. In this work, we highlight how the structural bias of social networks impacts the fairness of different SNA methods… Show more
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