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A paragraph-inserted word salad filtering algorithm

Authors
Jeong, Ok-RanKim, Won
Issue Date
2012
Publisher
INDERSCIENCE ENTERPRISES LTD
Keywords
social spam; spam filtering; word salad
Citation
INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES, v.8, no.1, pp.56 - 71
Journal Title
INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES
Volume
8
Number
1
Start Page
56
End Page
71
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/17558
DOI
10.1504/IJWGS.2012.046730
ISSN
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.
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