1Yoo K H,Gretzel U. Comparison of deceptive and truthfiil travel re-views [M] // Information and communication technologies in tourism2009. Springer Vienna, 2009 : 37 - 47.
2Hu N, Bose I’ Gao Y, Liu L. Manipulation in digital word - of -mouth: A reality check for book reviews [ j] . Decision Support Sys-tems, 2011,50 (3): 627 - 635.
5Jindal N,Liu B. Opinion spam and analysis [ C] // Proceedings ofthe international conference on Web search and web data mining.ACM, 2008 : 219-230.
6Ott M, Choi Y,Cardie C, Hancock J T. Finding deceptive opinionspam by any stretch of the imagination [ J ]. arXiv preprint arXiv:1107. 4557, 2011.
7Algur S P,PatiJ A P, Hiremath P S, Shivashankar S. Conceptuallevel similarity measure based review spam detection [C] //Signal andImage Processing (ICSIP) , 2010 International Conference on. IEEE,2010: 416-423.
8Lim E P, Nguyen V A,Jindal N, Liu B, Lauw H W. Detectingproduct review spammers using rating behaviors [C] //Proceedings ofthe 19th ACM international conference on Information and knowledgemanagement. ACM,2010 : 939 - 948.
9Jindal N, Liu B, Lim E P. Finding unusual review patterns usingune^ected rules [ C] // Proceedings of the 19th ACM internationalconference on Information and knowledge management. ACM, 2010:1549 - 1552.
