Fighting Spam on Social Web Sites: A Survey of Approaches and Future Challenges
IEEE Internet ComputingPublished 1 November 2007
Paul Heymann, Georgia Koutrika, Héctor García-Molina
Citations265
SJR quartileQ1
SJR score0.99
SNIP1.51
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Although many of these countermeasures have been proposed before for email and Web spam, the authors find that their applicability to social Web sites differs.
Abstract
In recent years, social Web sites have become important components of the Web. With their success, however, has come a growing influx of spam. If left unchecked, spam threatens to undermine resource sharing, interactivity, and openness. This article surveys three categories of potential countermeasures - those based on detection, demotion, and prevention. Although many of these countermeasures have been proposed before for email and Web spam, the authors find that their applicability to social Web sites differs.
Keywords
Computer Science
Lecture notes in computer scienceCAPTCHA: Using Hard AI Problems for Security
1,444 Citations2003Luis von Ahn, Manuel Blum +2 more
This work introduces captcha, an automated test that humans can pass, but current computer programs can't pass; any program that has high success over a captcha can be used to solve an unsolved Artificial Intelligence (AI) problem; and provides several novel constructions of captchas, which imply a win-win situation.
Lecture notes in computer sciencePricing via Processing or Combatting Junk Mail
1,271 Citations2007Cynthia Dwork, Moni Naor
A computational technique for combatting junk mail in particular and controlling access to a shared resource in general is presented, which requires a user to compute a moderately hard, but not intractable, function in order to gain access to the resource, thus preventing frivolous use.
Elsevier eBooksCombating Web Spam with TrustRank
1,025 Citations2004Zoltán Gyöngyi, Héctor García-Molina +1 more
This paper proposes techniques to semi-automatically separate reputable, good pages from spam, and shows that they can effectively filter out spam from a significant fraction of the web, based on a good seed set of less than 200 sites.
Behaviour Research and TherapyEmotional avoidance: an experimental test of individual differences and response suppression using biological challenge
324 Citations2003Matthew T. Feldner, Michael J. Zvolensky +2 more
The affective consequences of response inhibition during a state of anxiety-related physical stress and the significance of emotional avoidance processes during physical stress are examined, with implications for better understanding the nature of panic disorder.
Blocking blog spam with language model disagreement
210 Citations2005Gilad Mishne, David Carmel +1 more
An approach for detecting link spam common in blog comments by comparing the language models used in the blog post, the comment, and pages linked by the comments, which requires no training, no hard-coded rule sets, and no knowledge of complete-web connectivity.
Combating spam in tagging systems
116 Citations2007Georgia Koutrika, Frans Adjie Effendi +3 more
A framework for modeling tagging systems and user tagging behavior is introduced and a method for ranking documents matching a tag based on taggers' reliability is described.
Personalised, Collaborative Spam Filtering
71 Citations2004Alan Gray, Mads Haahr
This paper presents an architecture for personalised, collaborative spam filtering and describes the design and implementation of proof-of-concept, peer-to-peer, signature-based system based on the architecture.
Adversarial Information Retrieval on the WebTracking Web Spam with Hidden Style Similarity
44 Citations2006Tanguy Urvoy, Thomas Lavergne +1 more
This paper presents a (hidden) style similarity based on extra-textual features in html source code and describes a method to clusterize a large collection of documents according to this measure.
Experiences with Greylisting.
43 Citations2005John Levine
A taxonomy of greylisters is outlined, some statistics both on anti-spam e(cid:11)ectiveness and its e(cid:11)ect on non-spam mail are reported and some statistics both on anti-spam e(cid:11)ectiveness and its e(cid:11)ect on non-spam mail are reported.