Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Movie review mining and summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Proceedings of the 16th international conference on World Wide Web
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
A holistic lexicon-based approach to opinion mining
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Analyzing and Detecting Review Spam
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
International Journal of Electronic Commerce
Detecting product review spammers using rating behaviors
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Finding unusual review patterns using unexpected rules
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Efficient confident search in large review corpora
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Using readability tests to predict helpful product reviews
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Proceedings of the 20th international conference companion on World wide web
Selecting a comprehensive set of reviews
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Review Graph Based Online Store Review Spammer Detection
ICDM '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining
Comparative trust management with applications: Bayesian approaches emphasis
Future Generation Computer Systems
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Product reviews have been the focus of numerous research efforts. In particular, the problem of identifying fake reviews has recently attracted significant interest. Writing fake reviews is a form of attack, performed to purposefully harm or boost an item's reputation. The effective identification of such reviews is a fundamental problem that affects the performance of virtually every application based on review corpora. While recent work has explored different aspects of the problem, no effort has been done to view the problem from the attacker's perspective. In this work, we perform an analysis that emulates an actual attack on a real review corpus. We discuss different attack strategies, as well as the various contributing factors that determine the attack's impact. These factors determine, among others, the authenticity of fake review, evaluated based on its linguistic features and its ability to blend in with the rest of the corpus. Our analysis and experimental evaluation provide interesting findings on the nature of fake reviews and the vulnerability of online review-corpora.