Discovering Spammers in Social Networks

Proceedings of the 26th AAAI Conference on Artificial Intelligence, AAAI 2012

Volumn , Issue , 2012, Pages 171-177

  Zhu, Yin ^a   Wang, Xiao ^b   Zhong, Erheng ^a   Liu, Nanthan N ^a   Li, He ^b   Yang, Qiang ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b Renren Inc   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FACTORIZATION; FAKE DETECTION; SPAMMING;

ANTI SPAMMING; AS TOPOLOGIES; CONTENT CLASSIFICATION; FACEBOOK; SOCIAL MEDIA; SOCIAL MEDIA WEBSITES; SOCIAL NETWORK SITES; SOCIAL RELATIONS; SPAMMERS; TRADITIONAL SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 85167431555     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Benevenuto, F.; Magno, G.; Rodrigues, T.; and Almeida, V. 2010. Detecting spammers on twitter. In Anti-Abuse and Spam Conference (CEAS).
2. Blanzieri, E., and Bryl, A. 2008. A survey of learning-based techniques of email spam filtering. Artif. Intell. Rev. 29(1):63-92.
3. Brown, G.; Howe, T.; Ihbe, M.; Prakash, A.; and Borders, K. 2008. Social networks and context-aware spam. In ACM Conference on Computer Supported Cooperative Work (CSCW), 403-412.
4. Chang, C.-C., and Lin, C.-J. 2011. Libsvm: A library for support vector machines. ACM TIST 2(3):27.
5. Duch, J., and Arenas, A. 2005. Community detection in complex networks using extremal optimization. Physical Review E 72(2):027104.
6. Gyöngyi, Z., and Garcia-Molina, H. 2005. Web spam taxonomy. In Adversarial Information Retrieval on the Web (AIRWeb), 39-47.
7. Koren, Y. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In KDD, 426-434.
8. Kwak, H.; Lee, C.; Park, H.; and Moon, S. B. 2010. What is twitter, a social network or a news media? In WWW, 591-600.
9. Landauer, T.; McNamara, D.; Dennis, S.; and Kintsch, W. 2007. Handbook of latent semantic analysis. Lawrence Erlbaum Associates Publishers.
10. Lee, K.; Caverlee, J.; and Webb, S. 2010. Uncovering social spammers: social honeypots + machine learning. In SIGIR, 435-442.
11. Lee, K.; Eoff, B. D.; and Caverlee, J. 2011. Seven months with the devils: A long-term study of content polluters on twitter. In The International AAAI Conference on Weblogs and Social Media (ICWSM), 185-192.
12. Li, F., and Hsieh, M.-H. 2006. An empirical study of clustering behavior of spammers and group-based anti-spam strategies. In Anti-Abuse and Spam Conference (CEAS).
13. Liu, Z.; Shu, G.; Li, N.; and Lee, D. 2006. Defending against instant messaging worms. In In Proceedings of IEEE GLOBECOM, 1-6.
14. Ma, H.; Liu, C.; King, I.; and Lyu, M. R. 2011. Probabilistic factor models for web site recommendation. In SIGIR, 265-274.
15. Rendle, S. 2012. Factorization machines with libfm. ACM Transactions on Intelligent Systems and Technology (TIST 2012) 3(3).
16. Rennie, J. D. M. 2004. Smooth hinge classification. http://people.csail.mit.edu/jrennie/writing.
17. Singh, A. P., and Gordon, G. J. 2008. Relational learning via collective matrix factorization. In KDD, 650-658.
18. Stein, T.; Chen, E.; and Mangla, K. 2011. Facebook immune system. In Proceedings of the EuroSys Social Network Systems (SNS), 8:1-8:8.
19. Von Ahn, L.; Maurer, B.; McMillen, C.; Abraham, D.; and Blum, M. 2008. recaptcha: Human-based character recognition via web security measures. Science 321(5895):1465.
20. Wang, A. H. 2010. Don't follow me - spam detection in twitter. In Intl. Conf. on Sec. and Crypto., 142-151.
21. Xu, Q.; Xiang, E.; Du, J.; Zhong, J.; and Yang, Q. 2012. Sms spam detection using content-less features. IEEE Intelligent Systems http://doi.ieeecomputersociety.org/10.1109/MIS.2012.3.
22. Yang, Z.; Wilson, C.; Wang, X.; Gao, T.; Zhao, B. Y.; and Dai, Y. 2011. Uncovering social network sybils in the wild. In Internet Measurement Conference, 259-268.
23. Zhu, S.; Yu, K.; Chi, Y.; and Gong, Y. 2007. Combining content and link for classification using matrix factorization. In SIGIR, 487-494.
24. Zinkevich, M.; Smola, A. J.; and Langford, J. 2009. Slow learners are fast. In NIPS, 2331-2339.