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Visualizing Unfair Ratings in Online Reputation Systems

Sänger, Johannes, Richthammer, Christian, Kunz, Michael, Meier, Stefan and Pernul, Günther (2015) Visualizing Unfair Ratings in Online Reputation Systems. In: Proc. of the 23rd European Conference on Information Systems (ECIS), Münster, Germany.

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Date of publication of this fulltext: 02 Jun 2015 13:15

Abstract

Reputation systems provide a valuable method to measure the trustworthiness of sellers or the quality of products in an e-commerce environment. Due to their economic importance, reputation systems are subject to many attacks. A common problem are unfair ratings which are used to unfairly increase or decrease the reputation of an entity. Although being of high practical relevance, unfair rating ...

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Item type:Conference or workshop item (Speech)
Date:2015
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Projects:FORSEC
Keywords:Trust, reputation system, unfair ratings, collusion, visual analytics
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:31893
Owner only: item control page

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