Who cares about your Facebook friends? Credit scoring for microfinance

By Sofie De Cnudde, Julie Moeyersoms, Marija Stankova, Ellen Tobback, Vinayak Javaly, David Martens. 2015

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Explaining Classification Models Built on High-Dimensional Sparse Data (2016, background): “What you “like” on Facebook for example allows the prediction of personal characteristics remarkably well (Kosinski et al., 2013), as well as predicting product interest or credit default behavior (De Cnudde et al., 2015).”
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C (2019, background): “…behavior such as Facebook ‘Like’ data [24, 33], Twitter proﬁles [42] or music collections [39] can be used to infer psychological traits and political orientation [24, 33, 52], while the merchants you pay to or webpages you visit are predictive for product interest [32] and creditworthiness [12].”