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Link Spamming Wikipedia for Profit
Abstract Collaborative functionality is an increasiCollaborative functionality is an increasingly prevalent web technology. To encourage participation, these systems usually have low barriers-to-entry and permissive privileges. Unsurprisingly, ill-intentioned users try to leverage these characteristics for nefarious purposes. In this work, a particular abuse is examined -- link spamming -- the addition of promotional or otherwise inappropriate hyperlinks. Our analysis focuses on the wiki model and the collaborative encyclopedia, Wikipedia, in particular. A principal goal of spammers is to maximize *exposure*, the quantity of people who view a link. Creating and analyzing the first Wikipedia link spam corpus, we find that existing spam strategies perform quite poorly in this regard. The status quo spamming model relies on link persistence to accumulate exposures, a strategy that fails given the diligence of the Wikipedia community. Instead, we propose a model that exploits the latency inherent in human anti-spam enforcement. Statistical estimation suggests our novel model would produce significantly more link exposures than status quo techniques. More critically, the strategy could prove economically viable for perpetrators, incentivizing its exploitation. To this end, we address mitigation strategies.his end, we address mitigation strategies.
Abstractsub Collaborative functionality is an increasiCollaborative functionality is an increasingly prevalent web technology. To encourage participation, these systems usually have low barriers-to-entry and permissive privileges. Unsurprisingly, ill-intentioned users try to leverage these characteristics for nefarious purposes. In this work, a particular abuse is examined -- link spamming -- the addition of promotional or otherwise inappropriate hyperlinks. Our analysis focuses on the wiki model and the collaborative encyclopedia, Wikipedia, in particular. A principal goal of spammers is to maximize *exposure*, the quantity of people who view a link. Creating and analyzing the first Wikipedia link spam corpus, we find that existing spam strategies perform quite poorly in this regard. The status quo spamming model relies on link persistence to accumulate exposures, a strategy that fails given the diligence of the Wikipedia community. Instead, we propose a model that exploits the latency inherent in human anti-spam enforcement. Statistical estimation suggests our novel model would produce significantly more link exposures than status quo techniques. More critically, the strategy could prove economically viable for perpetrators, incentivizing its exploitation. To this end, we address mitigation strategies.his end, we address mitigation strategies.
Bibtextype inproceedings  +
Has author Andrew G. West + , Jian Chang + , Krishna Venkatasubramanian + , Oleg Sokolsky + , Insup Lee +
Has keyword Web 2.0 spam + , Spam + , Wikipedia + , Wiki + , Collaborative security + , Attack model + , Measurement study + , Spam economics +
Has remote mirror http://repository.upenn.edu/cis_papers/470/  +
Has slides http://www.andrew-g-west.com/docs/ceas_11_wiki_spam_slides.pdf  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 152-161  +
Peer-reviewed Yes  +
Published in CEAS '11: Proc. of the 8th Annual Collaboration, Electronic Messaging, Anti-Abuse, and Spam Conference +
Related tool STiki +
Title Link Spamming Wikipedia for Profit +
Type conference paper  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 12 February 2012 20:04:58  +
Categories Publications without license parameter  + , Publications without DOI parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 June 2013 04:55:36  +
DateThis property is a special property in this wiki. September 2011  +
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