A paragraph-inserted word salad filtering algorithm. (4th May 2012)

• Record Type: Journal Article
• Authors: Jeong, Ok-Ran; Kim, Won
• Is Part Of: International journal of web and grid services. Volume 8:Number 1(2012)
• Page Start: 56
• Page End: 71
• Publication Date: 2012-05-04
• Subjects: social spam -- spam filtering -- word salad; Web services -- Periodicals; Computational grids (Computer systems) -- Periodicals; 006.78
• Languages: English
• ISSNs: 1741-1106

Abstract

Social spam is one type of spam which includes spamming the members of social websites by sending or posting unwanted ads or baiting them to visit particular websites. Word salad in turn is one type of social spam which aims at baiting people to visit particular websites, such as blogs, personal profiles, third-party applications built on social networking websites, etc. A word salad is created by inserting either words or paragraphs within a normal document, where the inserted words or paragraphs have no relevance to the document. The purpose of a word salad is to fool the search engines into assigning high ranks to the document. In this paper, we discuss an algorithm that filters (detects) paragraph-inserted word salads. The algorithm is based on the Singular Value Decomposition (SVD) method and, based on experiments, shows up to 81.3% accuracy.