Summary
Asia-Pacific Network Operations and Management Symposium
2023
Session Number:PS4
Session:
Number:PS4-01
The Effectiveness of Online Reputation Score Under Silence Bias
Lirong Chen, Qiang Li ,
pp.-
Publication Date:2023/9/6
Online ISSN:2188-5079
DOI:10.34385/proc.75.PS4-01
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Summary:
Online reputation systems suffer from the silence bias: Most of consumers do not report after shopping. The reputation score aggregated by consumer ratings may not reflect the real quality of the product. In this paper, we study whether the silence bias decrease the effectiveness of the reputation score. To answer this question, this study proposes a new criterion: If the reputation score accurately reflects the relative quality of competing products, it is effective. We formulate a model of consumer reporting behavior and compare relative reputation scores under different reputation models in use. We find that the effectiveness of reputation score depends on consumers' reporting propensity.