The annotation of web sites in social bookmarking systems
has become a popular way to manage and find information
on the web. The community structure of such systems attracts
spammers: recent post pages, popular pages or specific
tag pages can be manipulated easily. As a result, searching
or tracking recent posts does not deliver quality results
annotated in the community, but rather unsolicited, often
commercial, web sites. To retain the benefits of sharing
one’s web content, spam-fighting mechanisms that can face
the flexible strategies of spammers need to be developed.
%0 Conference Paper
%1 krause2008anti
%A Krause, Beate
%A Schmitz, Christoph
%A Hotho, Andreas
%A Stumme, Gerd
%B AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web
%C New York, NY, USA
%D 2008
%I ACM
%K 2008 classification ddm feature_evaluation folksonomy mk5.4 ol_tut2010 spam tagging
%P 61--68
%R 10.1145/1451983.1451998
%T The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems
%U http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf
%X The annotation of web sites in social bookmarking systems
has become a popular way to manage and find information
on the web. The community structure of such systems attracts
spammers: recent post pages, popular pages or specific
tag pages can be manipulated easily. As a result, searching
or tracking recent posts does not deliver quality results
annotated in the community, but rather unsolicited, often
commercial, web sites. To retain the benefits of sharing
one’s web content, spam-fighting mechanisms that can face
the flexible strategies of spammers need to be developed.
%@ 978-1-60558-159-0
@inproceedings{krause2008anti,
abstract = {The annotation of web sites in social bookmarking systems
has become a popular way to manage and find information
on the web. The community structure of such systems attracts
spammers: recent post pages, popular pages or specific
tag pages can be manipulated easily. As a result, searching
or tracking recent posts does not deliver quality results
annotated in the community, but rather unsolicited, often
commercial, web sites. To retain the benefits of sharing
one’s web content, spam-fighting mechanisms that can face
the flexible strategies of spammers need to be developed.},
added-at = {2009-05-29T12:20:07.000+0200},
address = {New York, NY, USA},
author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/25b6b648fd25c15d594404ae26fcda6b4/jaeschke},
booktitle = {AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web},
doi = {10.1145/1451983.1451998},
interhash = {a45d40ac7776551301ad9dde5b25357f},
intrahash = {5b6b648fd25c15d594404ae26fcda6b4},
isbn = {978-1-60558-159-0},
keywords = {2008 classification ddm feature_evaluation folksonomy mk5.4 ol_tut2010 spam tagging},
location = {Beijing, China},
month = apr,
pages = {61--68},
publisher = {ACM},
timestamp = {2021-06-11T14:18:08.000+0200},
title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems},
url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf},
year = 2008
}