Consumer Acceptance of Online Agent Advice: Extremity and Positivity Effects

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Stable and Fair Classification (2019, background): “Stability is a crucial consideration in classiﬁcation [10, 57, 12, 25], and has been investigated in several real-world applications, e.g., advice-giving agents [31, 69], recommendation systems [2, 1, 3], and judicial decision-making [66].”
When does electronic word-of-mouth matter? A study of consumer product reviews☆ (2010, background): “Other studies, however, find rather the opposite (e.g., Gershoff et al., 2003; Skowronski and Carlston, 1987, 1989).”
E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact (2007, background): “In their study of consumer acceptance of online movie RAs’ advice, Gershoff et al. (2003) observed that when assessing how informative RAs were, consumers paid greater attention to past instances when they agreed with the RAs’ opinions and ratings (an indication of similarity in tastes or…”
Maximizing stability of recommendation algorithms: A collective inference approach (2011, methodology): “This research was supported in part by the National Science Foundation grant IIS-0546443.”
Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets (2005, background): “Therefore, consumers are likely to consider whether an opinion source shares their own preferences as a means of judging the diagnosticity of the recommendation (Gershoff et al., 2001; 2003).”