Examining the motivations of defection in large-scale open systems

Authors:
Rowan Martin-Hughes;Jochen Renz
Affiliations:
The Australian National University, Canberra ACT, Australia;The Australian National University, Canberra ACT, Australia
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

Citing 6
Cited 0

The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms

Management Science
Shilling recommender systems for fun and profit

Proceedings of the 13th international conference on World Wide Web
Normative Agent Reasoning in Dynamic Societies

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Trust in multi-agent systems

The Knowledge Engineering Review
TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks

WWW '05 Proceedings of the 14th international conference on World Wide Web
A survey of trust and reputation systems for online service provision

Decision Support Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In large-scale open systems such as eBay one of the key concerns in increasing the utility of users is having a trustworthy method for users to determine which interactions will be satisfactory and which are liable to lead to disappointment. Rather than starting from the point of assuming there are good and bad users we will examine why we can make such a distinction in this context and how humans mitigate some of the problems which seem endemic to such a system through game modification. We then demonstrate a use of this model of behaviour in simulating a particular agent choice in order to show the conditions under which different reputation systems affect an agent's trustworthiness, before briefly describing possible future directions of research to deal with the truly disenfranchised agents.