Learning to Trust: Understanding Editorial Authority and Trust in Recommender Systems for Education
Taha Hassan,
Bob Edmison,
Timothy Stelter
et al.
Abstract:Trust in a recommendation system (RS) is often algorithmically incorporated using implicit or explicit feedback of user-perceived trustworthy social neighbors, and evaluated using user-reported trustworthiness of recommended items. However, real-life recommendation settings can feature group disparities in trust, power, and prerogatives. Our study examines a complementary view of trust which relies on the editorial power relationships and attitudes of all stakeholders in the RS application domain. We devise a … Show more
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