Signal detection theory: valuable tools for evaluating inductive learning
Proceedings of the sixth international workshop on Machine learning
Communications of the ACM
Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Collaborative reputation mechanisms for electronic marketplaces
Decision Support Systems - Special issue for business to business electronic commerce, issues and solutions
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Collusion in the U.S. crop insurance program: applied data mining
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Building trust in online auction markets through an economic incentive mechanism
Decision Support Systems
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
Information Systems Research
Types of deception and underlying motivation: what people think
Social Science Computer Review - Deviance and the internet: New challenges for social science
Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard
Information Systems Research
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
A survey of trust and reputation systems for online service provision
Decision Support Systems
Research Note---How Often Should Reputation Mechanisms Update a Trader's Reputation Profile?
Information Systems Research
An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
The Role of Reputation Systems in Reducing On-Line Auction Fraud
International Journal of Electronic Commerce
Reputation and Dispute in eBay Transactions
International Journal of Electronic Commerce
Consumer and Business Deception on the Internet: Content Analysis of Documentary Evidence
International Journal of Electronic Commerce
Recommending trusted online auction sellers using social network analysis
Expert Systems with Applications: An International Journal
A typology of complaints about eBay sellers
Communications of the ACM - The psychology of security: why do good users make bad decisions?
Toward a Comprehensive Model in Internet Auction Fraud Detection
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Online consumer-to-consumer market in China - A comparative study of Taobao and eBay
Electronic Commerce Research and Applications
Fraud Detection by Human Agents: A Pilot Study
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
A probabilistic reputation model based on transaction ratings
Information Sciences: an International Journal
An expert system for detecting automobile insurance fraud using social network analysis
Expert Systems with Applications: An International Journal
Detecting fraudulent personalities in networks of online auctioneers
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Analyzing terrorist networks: a case study of the global salafi jihad network
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
International Journal of Information Management: The Journal for Information Professionals
Measuring the coverage and redundancy of information search services on e-commerce platforms
Electronic Commerce Research and Applications
Detecting online auction shilling frauds using supervised learning
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
In consumer-to-consumer (C2C) markets, sellers can manipulate their reputation by employing a large number of puppet buyers who offer positive feedback on fake transactions. We present a conceptual framework to identify the characteristics of collusive transactions based on the homo economicus assumption. We hypothesize that transaction-related indicators including price, frequency, comment, and connectedness to the transaction network, and individual-related indicators including reputation and age can be used to identify collusive transactions. The model is empirically tested using a dataset from Taobao, the largest C2C market in China. The results show that the proposed indicators are effective in identifying collusive traders.