Identify online store review spammers via social review graph

ACM Transactions on Intelligent Systems and Technology

Volumn 3, Issue 4, 2012, Pages

  Wang, Guan ^a   Xie, Sihong ^a   Liu, Bing ^a   Yu, Philip S ^a  

^a 1120 Science and Engineering Offices   (United States)

Author keywords

Review graph; Spammer detection

Indexed keywords

COMPUTATION METHODS; FUNDAMENTAL CONCEPTS; GRAPH MODEL; HETEROGENEOUS GRAPH; ITERATIVE COMPUTATION; NOVEL CONCEPT; ONLINE SHOPPING; ONLINE STORE; QUALITY OF PRODUCT; RATING PATTERN; SPAM DETECTION; SPAMMERS; TEXT INFORMATION; TEXT SIMILARITY;

ELECTRONIC COMMERCE; INTERNET; ITERATIVE METHODS;

GRAPH THEORY;

EID: 84867408740     PISSN: 21576904     EISSN: 21576912     Source Type: Journal    
DOI: 10.1145/2337542.2337546     Document Type: Review

References (24)

1. BARABASI, A. AND ALBERT, R. 1999. Emergence of scaling in random networks. Science.
2. CARRERAS, X., MARQUEZ, L. S., AND SALGADO, J. G. 2001. Boosting trees for anti-spam email filtering. In Proceedings of the 4th International Conference on Recent Advances in Natural Language Processing. 58-64.
3. CONSUMERIST. Resellerratings cracks down on thecellshop.net's review bribing. http://consumerist.com/2008/05/reselleratings-cracks-down-on- thecellshopnets-review-bribing.html.
4. FLEISS, J. AND COHEN, J. 1973. The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. In Educational and Psychological Measurement.
5. GYNGYI, Z. AND GARCIA-MOLINA, H. 2005. Web spam taxonomy. In Proceedings of the Workshop on Adversarial IR on the Web.
6. HU, M. AND LIU, B. 2004. Mining and summarizing customer reviews. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
7. JINDAL, N. AND LIU, B. 2008. Opinion spam and analysis. In Proceedings of the International Conference on Web Search and Web Data Mining (WSDM'08). ACM, New York, NY, 219-230.
8. JINDAL, N., LIU, B., AND LIM, E. 2010. Finding unusual review patterns using unexpected rules. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM'10). ACM, New York, NY, 1549-1552.
9. KLEINBERG, J. 1999. Authoritative sources in a hyperlinked environment. In J. ACM 46, 5, 604-632.
10. LANDIS, J. AND KOCH, G. 1977. The measurement of observer agreement for categorical data. Biometrics.
11. LAUW, H., LIM, E. P., AND WANG, K. 2006. Bias and controversy: Beyond the statistical deviation. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06). ACM, 625-630.
12. LAUW, H. W., LIM, E., AND WANG, K. 2008. Bias and controversy in evaluation system. IEEE Trans. Knowl. Data Engin. 20, 11, 1490-1504.
13. LIM, E., NGUYEN, V., JINDAL, N., LIU, B., AND LAUW, H. 2010. Detecting product review spammers using rating behaviors. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM'10). ACM, New York, NY, 939-948.
14. LIU, B. 2010. Sentiment analysis and subjectivity. In Handbook of Natural Language Processing.
15. MCGLOHON, M., BAY, S., ANDERLE, M., STEIER, D., AND FALOUTSOS, C. 2009. Snare: A link analytic system for graph labeling and risk detection. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
16. MUKHERJEE, A., LIU, B., WANG, J., GLANCE, N., AND JINDAL, N. 2011. Detecting group review spam. In Proceedings of the 20th International Conference Companion on World Wide Web. 93-944
17. OTT, M., CHOI, Y., CARDIE, C., AND HANCOCK, J. 2011. Finding deceptive opinion spam by any stretch of the imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.
18. PAGE, L., BRIN, S., MOTWANI, R., AND WINOGRAD, T. 1998. The pagerank citation ranking: Bringing order to the web. Tech. rep., Stanford Digital Library Technologies Project.
19. PANDIT, S., CHAU, D., WANG, S., AND FALOUTSOS, C. 2007. Netprobe: A fast and scalable system for fraud detection in online auction networks. In Proceedings of the 16th International Conference Companion on World Wide Web. 201-210.
20. PANG, B. AND LEE, L. 2008. Opinion mining and sentiment analysis. Found. Trends Inf. Retrieval 2, 1-2.
21. PEARL, R. AND REED, L. 1920. On the rate of growth of the population of the united states since 1790 and its mathematical representation. Proc. Nat. Acad. Sci.
22. POPESCU, A. AND ETZIONI, O. 2005. Extracting product features and opinions from reviews. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing.
23. WU, G., GREENE, D., SMYTH, B., AND CUNNINGHAM, P. 2010. Distortion as a validation criterion in the identification of suspicious reviews. In Proceedings of the 1st Workshop on Social Media Analytics.
24. YIN, X., HAN, J., AND YU, P. S. 2008. Truth discovery with multiple conflicting information providers on the web. IEEE Trans. Knowl. Data Engin. 20, 6.