A Warning Approach to Mitigating Bandwagon Bias in Online Ratings: Theoretical Analysis and Experimental Investigations

Current online review systems widely suffer from rating biases. Biased ratings can lead to violations of customer trust and failures of business intelligence. Hence, both practitioners and researchers have directed massive efforts toward curbing rating biases. In this paper, we investigate bandwagon...

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Veröffentlicht in:	Journal of the Association for Information Systems 2023-01, Vol.24 (4), p.1132-1161
Hauptverfasser:	Wu, Ding, Guo, Xunhua, Wang, Yuejun, Chen, Guoqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Assessments Bias Design factors Empirical analysis Information management Information systems Ranking Ratings Ratings & rankings Strategy Warning
Online-Zugang:	Volltext
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