We propose a new task of automatically detecting reputation defence strategies in the field of computational argumentation. We cast the problem as relation classification, where given a pair of reputation threat and reputation defence, we determine the reputation defence strategy. We annotate a dataset of parliamentary questions and answers with reputation defence strategies. We then propose a ...

Attacks on trust and reputation systems (TRS) as well as defense strategies against certain attacks are the subject of many research papers. Although proposing valuable ideas, they all exhibit at least one of the following major shortcomings. Firstly, many researchers design defense mechanisms from scratch and without reusing approved ideas. Secondly, most proposals are limited to naming and th...

Online communities provide a social sphere for people to share information and knowledge. While information sharing is becoming a ubiquitous online phenomenon, how to ensure information quality or induce quality content, however, remains a challenge due to the anonymity of commentators. This paper introduces moderation into reputation systems. We show that moderation directly impacts strategic ...

As electronic commerce developed, it became clear that buyers and sellers needed a way to evaluate the reputation of potential trade partners. Online reputation systems were developed to meet this need. More recently, online reputation systems have expanded into additional domains such as the evaluation of college professors. The study proposed here examines the characteristics of two represent...

Current deployed reputation systems simply aggregate numerical ratings provided by buyers, but overlook the buyers’ subjectivity difference in evaluating the transactions with a seller. To address this problem, we propose a subjectivity alignment approach for reputation computation (SARC).

We examine the determinants of professional reputation. Does quantity of exposures raise reputation independent of quality? Does quality of the most important exposure have extra effects on reputation? In a very large sample of academic economists, there is little evidence that a scholar’s most influential work provides any extra enhancement of reputation. Quality rankings matter more than abso...

Asymmetric information is a major problem in e-commerce transactions as it gives rise to adverse selection and moral hazard problems. Reputation mechanisms provide a solution to this problem by discouraging fraudulent behavior and encouraging honest behavior of participants in the uncertain and un-trusted environment of e-market. This paper discusses trust and reputation relationships, and high...

Trust is required in file sharing peer-to-peer (P2P) systems to achieve better cooperation among peers and reduce malicious uploads. In reputation-based P2P systems, reputation is used to build trust among peers based on their past transactions and feedbacks from other peers. In these systems, reputable peers will usually be selected to upload requested files, decreasing significantly malicious...

A social Semantic Web empowers its users to have access to col-­‐ lective Web knowledge in a simple manner, and for that reason, controlling online privacy and reputation becomes increasingly important, and must be taken seriously. This chapter presents Fuzzy Cognitive Maps (FCM) as a vehi-­‐ cle BLOCKIN

Reputation systems can be used to foster good behaviour and to encourage adherence to contracts in e-commerce. Several reputation systems have been deployed in practical applications or proposed in the literature. This paper describes a new system called the beta reputation system which is based on using beta probability density functions to combine feedback and derive reputation ratings. The a...