Vulnerable social groups are often the recipients of statistical discrimination by financial
institutions. They therefor try to access the P2P lending market through voluntary digital …

Data-driven algorithms are studied and deployed in diverse domains to support critical
decisions, directly impacting people's well-being. As a result, a growing community of …

Link prediction has been widely applied in social network analysis. Despite its importance,
link prediction algorithms can be biased by disfavoring the links between individuals in …

A growing community of researchers has been investigating the equity of algorithms,
advancing the understanding of risks and opportunities of automated decision-making for …

With the increasing influence of machine learning algorithms in decision-making processes,
concerns about fairness have gained significant attention. This area now offers significant …

A multi-view graph comprises multiple single-view graphs with the same set of nodes but
different types of edges. In many real-world applications, graphs are often collected from …

Literature reviews on metrics to quantify biases and techniques to mitigate them have been
made in the past. However, none of these investigations have centered on the application of …

Social networks are very important carriers of information. For instance, the political leaning
of our friends can serve as a proxy to identify our own political preferences. This explanatory …

Today, recommender systems have played an increasingly important role in shaping our
experiences of digital environments and social interactions. However, as recommender …

Social lending or peer to peer lending (P2P lending) is a social digital lending marketplace
where borrowers and lenders are interlinked. With the emergency of coronavirus medical …