Trust Metrics on Controversial Users: Balancing Between Tyranny of the Majority

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How algorithmic confounding in recommendation systems increases homogeneity and decreases utility (2017, background): “Many efforts have been made to understand whether or not various recommender systems impact diversity by reinforcing the popularity of already-popular products or by increasing interactions with niche items [2, 11, 15, 19, 20, 46, 48, 50, 62, 67, 68].”
Trust-aware recommender systems (2007, methodology): “There are many diﬀerent trust metrics [2, 11, 6, 9].”
Recommender Systems (2016, unknown): “The utility of recommender systems for controversial items and users has been studied in several works [222, 406, 617].”