The annotation of web sites in social bookmarking systemshas become a popular way to manage and find informationon the web. The community structure of such systems attractsspammers: recent post pages, popular pages or specifictag pages can be manipulated easily. As a result, searchingor tracking recent posts does not deliver quality resultsannotated in the community, but rather unsolicited, oftencommercial, web sites. To retain the benefits of sharingone’s web content, spam-fighting mechanisms that can facethe flexible strategies of spammers need to be developed.
%0 Conference Paper
%1 krause2008antisocial
%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 spam
%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 systemshas become a popular way to manage and find informationon the web. The community structure of such systems attractsspammers: recent post pages, popular pages or specifictag pages can be manipulated easily. As a result, searchingor tracking recent posts does not deliver quality resultsannotated in the community, but rather unsolicited, oftencommercial, web sites. To retain the benefits of sharingone’s web content, spam-fighting mechanisms that can facethe flexible strategies of spammers need to be developed.
%@ 978-1-60558-159-0
@inproceedings{krause2008antisocial,
abstract = {The annotation of web sites in social bookmarking systemshas become a popular way to manage and find informationon the web. The community structure of such systems attractsspammers: recent post pages, popular pages or specifictag pages can be manipulated easily. As a result, searchingor tracking recent posts does not deliver quality resultsannotated in the community, but rather unsolicited, oftencommercial, web sites. To retain the benefits of sharingone’s web content, spam-fighting mechanisms that can facethe flexible strategies of spammers need to be developed.},
added-at = {2012-04-16T13:17:41.000+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/socmarker39},
booktitle = {AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web},
doi = {10.1145/1451983.1451998},
file = {krause2008antisocial.pdf:krause2008antisocial.pdf:PDF},
groups = {public},
interhash = {a45d40ac7776551301ad9dde5b25357f},
intrahash = {5b6b648fd25c15d594404ae26fcda6b4},
isbn = {978-1-60558-159-0},
keywords = {2008 spam},
location = {Beijing, China},
month = apr,
pages = {61--68},
publisher = {ACM},
timestamp = {2012-04-16T13:17:41.000+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},
username = {dbenz},
year = 2008
}