Detecting spam blogs from blog search results

Information Processing and Management

Volumn 47, Issue 2, 2011, Pages 246-262

  Zhu, Linhong ^a   Sun, Aixin ^a   Choi, Byron ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Blog profile; Blog search; Blog temporal behavior; Spam blog; Spam blog detection; Splog

Indexed keywords

BLOG PROFILE; BLOG SEARCH; BLOG TEMPORAL BEHAVIOR; SPAM BLOG; SPAM BLOG DETECTION; SPLOG;

BLOGS; INFORMATION RETRIEVAL; SEARCH ENGINES;

INTERNET;

EID: 79951944635     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2010.03.006     Document Type: Article

References (38)

1. N. Agarwal, and H. Liu Blogosphere: Research issues, tools, and applications SIGKDD Exploration Newsletter 10 1 2008 18 31
2. T. Back Evolutionary algorithms in theory and practice 1996 Oxford University Press New York, NY, USA
3. F. Benevenuto, T. Rodrigues, V. Almeida, J. Almeida, and M. Gonalves Detecting spammers and content promoters in online video social networks Proceedings of SIGIR 2009 ACM Boston, MA, USA 620 627
4. S. Brin, and L. Page The anatomy of a large-scale hypertextual web search engine Computer Networks and ISDN Systems 30 1-7 1998 107 117
5. Castillo, C.; Donato, D.; Gionis, A.; Murdock, V.; & Silvestri, F. (2007). Know your neighbors: Web spam detection using the web topology. In Proceedings of SIGIR (pp. 423-430). (Pubitemid 350164989)
6. Fetterly, D.; Manasse, M.; & Najork, M. (2004). Spam, damn spam, and statistics: Using statistical analysis to locate spam web pages. In Proceedings of WebDB (pp. 1-6).
7. Gyöngyi, Z.; Garcia-Molina, H.; & Pedersen, J. (2004). Combating web spam with trustrank. In Proceedings of VLDB (pp. 576-587).
8. Gyongyi, Z.; Berkhin, P.; Garcia-Molina, H.; & Pedersen, J. (2006). Link spam detection based on mass estimation. In Proceedings of VLDB (pp. 439-450).
9. Han, S.; Ahn, Y.-Y.; Moon, S.; & Jeong, H. (2006). Collaborative blog spam filtering using adaptive percolation search. In Proceedings of WWW Workshop.
10. J.H. Holland Adaptation in natural and artificial systems 1992 MIT Press Cambridge, MA, USA
11. Ingo, R. (1971). Evolutionsstrategie: Optimierung technischer systeme nach prinzipien der biologischen evolution. PhD Thesis, Department of Process Engineering, Technical University of Berlin.
12. T. Katayama, T. Utsuro, Y. Sato, T. Yoshinaka, Y. Kawada, and T. Fukuhara An empirical study on selective sampling in active learning for splog detection AIRWeb'09: Proceedings of the 5th international workshop on adversarial information retrieval on the web 2009 ACM New York, NY, USA 29 36
13. Knorr, E. M.; & Ng, R. T. (1998). Algorithms for mining distance-based outliers in large datasets. In Proceedings of VLDB (pp. 392-403).
14. Kolari, P.; Java, A.; Finin, T.; Oates, T.; & Joshi, A. (2006). Detecting spam blogs: A machine learning approach. In Proceedings of AAAI.
15. Kolari, P.; Finin, T.; Java, A.; & Joshi, A. (2007). Towards spam detection at ping servers. In Proceedings of ICWSM, Boulder, Colorado.
16. G. Koutrika, F.A. Effendi, Z. Gyöngyi, P. Heymann, and H. Garcia-Molina Combating spam in tagging systems: An evaluation ACM Transactions on Web 2 4 2008 1 34
17. A. Kritikopoulos, M. Sideri, and I. Varlamis Blogrank: Ranking weblogs based on connectivity and similarity features AAA-IDEA'06: Proceedings of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications 2006 ACM New York, NY, USA 8
18. S. Kullback, and R.A. Leibler On information and sufficiency Annals of Mathematical Statistics 22 1951 79 86
19. O. Kurland, and L. Lee Pagerank without hyperlinks: Structural re-ranking using links induced by language models Proceedins of SIGIR'05 2005 ACM Salvador, Brazil 306 313
20. O. Kurland, and L. Lee Respect my authority!: Hits without hyperlinks, utilizing cluster-based language models Proceedings of SIGIR'06 2006 ACM Seattle, Washington, USA 83 90
21. Leskovec, J.; Kleinberg, J.; & Faloutsos, C. (2005). Graphs over time: Densification laws, shrinking diameters and possible explanations. In Proceedings of KDD (pp. 177-187). (Pubitemid 43218279)
22. Y.-R. Lin, H. Sundaram, Y. Chi, J. Tatemura, and B.L. Tseng Detecting splogs via temporal dynamics using self-similarity analysis ACM Transactions on Web 2 1 2008
23. Y. Liu, R. Cen, M. Zhang, S. Ma, and L. Ru Identifying web spam with user behavior analysis AIRWeb'08: Proceedings of the 4th international workshop on adversarial information retrieval on the web 2008 ACM New York, NY, USA 9 16
24. B. Markines, C. Cattuto, and F. Menczer Social spam detection AIRWeb'09: Proceedings of the 5th international workshop on adversarial information retrieval on the web 2009 ACM New York, NY, USA 41 48
25. Mishne, G.; & Carmel, D. (2005). Blocking blog spam with language model disagreement. In Proceedings of AIRWeb.
26. A. Ntoulas, M. Najork, M. Manasse, and D. Fetterly Detecting spam web pages through content analysis Proceedings of WWW'06 2006 ACM Edinburgh, Scotland 83 92 (Pubitemid 46946600)
27. Ponte, J. M.; & Croft,W. B. (1998). A language modeling approach to information retrieval. In Proceedings of SIGIR (pp. 275-281).
28. Ren, D.; Rahal, I.; Perrizo, W.; & Scott, K. (2004). A vertical distance-based outlier detection method with local pruning. In Proceedings of CIKM (pp. 279-284). (Pubitemid 40673465)
29. Salvetti, F.; & Nicolov, N. (2006). Weblog classification for fast splog filtering: A url language model segmentation approach. In Proceedings of human language technology conference of the NAACL (short papers) (pp. 137-140).
30. Y. Sato, T. Utsuro, Y. Murakami, T. Fukuhara, H. Nakagawa, and Y. Kawada Analysing features of japanese splogs and characteristics of keywords AIRWeb'08: Proceedings of the 4th international workshop on adversarial information retrieval on the web 2008 ACM New York, NY, USA 33 40
31. G. Shen, B. Gao, T.-Y. Liu, G. Feng, S. Song, and H. Li Detecting link spam using temporal information ICDM'06: Proceedings of the sixth international conference on data mining 2006 IEEE Computer Society Washington, DC, USA 1049 1053
32. Sifry, D. (2005). State of the blogosphere august 2005 part 4: Spam and fake blogs, August 2005. < http://technorati.com/weblog/2005/08/38.html >.
33. A. Sun, M. Hu, and E.-P. Lim Searching blogs and news: A study on popular queries Proceedings of SIGIR 2008 ACM Singapore
34. K.M. Svore, Q. Wu, C.J.C. Burges, and A. Raman Improving web spam classification using rank-time features AIRWeb'07: Proceedings of the 3rd international workshop on adversarial information retrieval on the web 2007 ACM Banff, Alberta, Canada 9 16 (Pubitemid 350003819)
35. T. Urvoy, E. Chauveau, P. Filoche, and T. Lavergne Tracking web spam with html style similarities ACM Transactions on Web 2 1 2008 1 28
36. Y.-M. Wang, M. Ma, Y. Niu, and H. Chen Spam double-funnel: Connecting web spammers with advertisers Proceedings of WWW 2007 ACM Banff, Alberta, Canada 291 300 (Pubitemid 47582259)
37. Wu, B.; & Davison, B. D. (2005). Identifying link farm spam pages. In Proceedings of WWW (poster) (pp. 820-829).
38. Yang, H.; King, I.; & Lyu, M. R. (2007). Diffusionrank: A possible penicillin for web spamming. In Proceedings of SIGIR (pp. 431-438). (Pubitemid 350164990)