Visualizing Unfair Ratings in Online Reputation Systems

URN to cite this document:: urn:nbn:de:bvb:355-epub-318931
DOI to cite this document:: 10.5283/epub.31893

Sänger, Johannes ; Richthammer, Christian ; Kunz, Michael ; Meier, Stefan ; Pernul, Günther

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

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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) Informatics and Data Science > 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

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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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