Spam Detection Techniques Used In Online Social Media Reviews
Abstract
Keywords
Full Text:
PDFReferences
SaeedrezaShehnepoor, MostafaSalehi, Reza..Farahbakhsh, and Noel Crespi NetSpam: a .Network-.based Spam Detection Framework for Reviews on Online Social Media, Transaction on Information Security 1556-6013, 2016.
Myle Ott Yejin Choi Claire Cardie, Jeffrey T. Hancock Finding Deceptive Opinion Spam by Any Stretch of the Imagination,2008
A. Mukerjee, V. Venkataraman, B. Liu, and N. Glance. What Yelp Fake Review Filter Might Be Doing? In ICWSM, 2013.
G. Fei, A. Mukherjee, B. Liu, M. Hsu, M. Castellanos, and R. Ghosh.Exploiting burstiness in reviews for review spammer detection, In ICWSM, 2013.
A. Mukherjee, A. Kumar, B. Liu, J. Wang, M. Hsu, M. Castellanos, and R. Ghosh.Spotting opinion spammers using behavioral footprints. In ACM KDD, 2013
F. Li, M. Huang, Y. Yang, and X. Zhu. Learning to identify review spam. Proceedings of the 22nd International Joint Conference on Artificial Intelligence; IJCAI, 2011.
R. Shebuti and L. Akoglu. Collective opinion spam detection: bridging review networks and metadata. In ACM KDD, 2015.
S. Feng, R. Banerjee and Y. Choi. Syntactic stylometry for deception detection. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers; ACL, 2012.
D. Biber, S. Johansson, G. Leech, S. Conrad, E. Finegan, and R. Quirk.. Longman grammar of spoken and written English, volume 2. MIT Press,1999
J.W. Pennebaker, C.K. Chung, M. Ireland, A. Gonzales, and R.J. Booth. The development and Psychometricproperties of LIWC2007.Austin, TX, LIWC.Net 2007
F. Mairesse, M.A. Walker, M.R. Mehl, and R.K. Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30(1):457–500, 2007.
J .T. Hancock, L.E. Curry, S. Goorha, and M.Woodworth, on lying and being lied to: A linguistic analysis of deception in computer-mediated communication. Discourse Processes, 45(1):1–23. 2008
C. Danescu-Niculescu-Mizil, G. Kossinets, J. Kleinberg, and L. Lee. How opinions are received by online communities: a case study on amazon.com helpfulness votes. In Proceedings of the 18th international conference on World Wide Web, pages 141–150. ACM,2009
L. Zhou, Y. Shi, and D. Zhang.A Statistical Language Modeling Approach to Online Deception Detection. IEEE Transactions on Knowledge and Data Engineering, 20(8):1077–1081,2008
N. Jindal and B. Liu.Opinion spam and analysis. In Proceedings of the international conference on Web search and web data mining, pages 219–230. ACM, 2008
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.