The connectivity and openness of the Internet have cultivated a blistering expansion of online media websites. However, the culture of openness also makes the emerging platforms an effective channel for content pollution, such as fraud, phishing, and other online abuses. To complicate the problem, content polluters actively manipulate the characteristics of the Internet through establishing links with normal users and blending the malicious information with legitimate content. The manipulated links and content, being used as camouflage, make it very intricate to detect content polluters. Recent work has investigated camouflaged fraud in networks. However, due to the lack of availability of label information for camouflaged content, it is challenging to detect content polluters with traditional approaches. In this paper, we make the first attempt on detecting camouflaged content polluters. In order to evaluate the proposed approach, we conduct experiments on real-world data. The results show that our method achieves better results than existing approaches.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th International Conference on Web and Social Media, ICWSM 2017
PublisherAAAI Press
Number of pages4
ISBN (Electronic)9781577357889
StatePublished - 2017
Event11th International Conference on Web and Social Media, ICWSM 2017 - Montreal, Canada
Duration: May 15 2017May 18 2017


Other11th International Conference on Web and Social Media, ICWSM 2017

ASJC Scopus subject areas

  • Computer Networks and Communications

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