The anti-social tagger - Detecting spam in social bookmarking systems

AIRWeb 2008 - Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web

Volumn , Issue , 2008, Pages 61-68

  Krause, Beate ^a   Hotho, Andreas ^a   Schmitz, Christoph ^a   Stumme, Gerd ^a  

^a UNIVERSITY OF KASSEL   (Germany)

Author keywords

Folksonomy; Spam detection; Web 2.0

Indexed keywords

INFORMATION RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; INTERNET; LEARNING SYSTEMS; TELECOMMUNICATION NETWORKS; WORLD WIDE WEB;

CLASSICAL APPROACHES; CLASSIFICATION MODELS; COMMUNITY STRUCTURES; DATA SETS; DELIVER QUALITIES; EVALUATION RESULTS; FLEXIBLE STRATEGIES; FOLKSONOMY; MACHINE-LEARNING; SOCIAL BOOKMARKING; SPAM DETECTION; SPAMMERS; WEB 2.0; WEB CONTENTS; WEB SITES;

SPAMMING;

EID: 63049101066     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1451983.1451998     Document Type: Conference Paper

References (25)

1. C. Castillo, D. Donato, A. Gionis, V. Murdock, and F. Silvestři. Know your neighbors: web spam detection using the web topology. In Proc. SIGIR. '07, pages 423-430, New York, NY, USA, 2007. ACM.
2. C. Cattuto, C. Schmitz, A. Baldassarri, V. D. P. Servedio, V. Loreto, A. Hotho, M. Grahl, and G. Stumme. Network properties of folksonomies. AI Communications, 20(4):245 - 262, 2007.
3. C.-C. Chang and C.-J. Lin. Libsvm: a library for support vector machines (version 2.31).
4. T. Fawcett. An introduction to roc analysis. Pattern Recogn. Lett., 27(8):861-874, 2006.
5. Q. Gan and T. Suel. Improving web spam classifiers using link structure (s). In Proc. AIRWeb '07, pages 17-20, New York, NY, USA, 2007. ACM.
6. S. Golder and B. A. Huberman. The structure of collaborative tagging systems Journal of Information Science, 32 (2):198-208, April 2006.
7. T. Hammond, T. Hannay, B. Lund, and J. Scott. Social Bookmarking Tools (I): A General Review. D-Lib Magazine, 11(4), April 2005.
8. J. Han and M. Kamber. Data Mining: Concepts and Techniques. Morgan Kaufmann, September 2000.
9. P. Heymann, G. Koutrika, and H. Garcia-Molina. Fighting spam on social web sites: A survey of approaches and future challenges. IEEE Internet Computing, 11(6):36-45, 2007.
10. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. BibSonomy: A social bookmark and publication sharing system. In CS-TIW '06, Aalborg, Denmark, July 2006. Aalborg University Press.
11. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In Proc. ESWC '06, pages 411-426, Budva, Montenegro, June 2006. Springer.
12. R. Jäschke, L. B. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in folksonomies. In Proc. PKDD '07, Berlin, Heidelberg.
13. P. Kolari, T. Finin, and A. Joshi. SVMs for the BIogosphere: Blog Identification and Splog Detection. A A AI Spring Symposium on Computational Approaches to Analyzing Weblogs, 2006.
14. P. Kolari, A. Java, T. Finin, T. Oates, and A. Joshi. Detecting Spam Blogs: A Machine Learning Approach. AAAI '06, 2006.
15. G. Koutrika, F. A. Effendi, Z. Gyöngyi, P. Heymann, and H. Garcia-Molina. Combating spam in tagging systems. In Proc. AIRWeb '07, pages 57-64, New York, NY, USA, 2007. ACM.
16. R. Lambiotte and M. Ausloos. Collaborative tagging as a tripartite network. Lecture Notes in Computer Science, 3993:1114, Dec 2005.
17. B. Lund, T. Hammond, M. Flack, and T. Hannay. Social Bookmarking Tools (II): A Case Study - Connotea. D-Lib Magazine, 11(4), April 2005.
18. A. Mathes. Folksonomies - Cooperative Classification and Communication Through Shared Metadata, December 2004. http://www.adammathes.com/academic/ computer-mediated-communication/folksonomies.html.
19. P. Mika. Ontologies are us: A unified model of social networks and semantics. In Proc. ISWC '05, LNCS, pages 522-536. Springer, 2005.
20. G. Mishne, D. Carmel, and R. Lempel. Blocking blog spam with language model disagreement. In Proc. AIRWeb '05, pages 1-6, New York, NY, USA, 2005. ACM.
21. A. Ntoulas, M. Najork, M. Manasse, and D. Fetterly. Detecting spam web pages through content analysis. In Proc. WWW '06, pages 83-92, New York, NY, USA, 2006. ACM.
22. J. R. Quinlan. C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.
23. S. Sen, A. M. Lam, Shyong K.and Rashid, D. Cosley, D. Frankowski, J. Osterhouse, M. F. Harper, and J. Riedl, tagging, communities, vocabulary, evolution. In Proc. CSCW '06, pages 181-190, New York, NY, USA, 2006.
24. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, October 1999.
25. B. Wu and B. D. Davison. Detecting semantic cloaking on the web. In Proc. WWW '06, pages 819-828, New York, NY, USA, 2006.