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Summary: Detecting Spam-blogs from Blog Search Results
Linhong Zhu
, Aixin Sun
, and Byron Choi
School of Computer Engineering, Nanyang Technological University, Singapore
Department of Computer Science, Hong Kong Baptist University, Hong Kong
zhul0003|axsun@ntu.edu.sg, bchoi@comp.hkbu.edu.hk
Abstract
Blogging has been an emerging media for people to express
themselves. However, the presence of spam-blogs (also
known as splogs) may reduce the value of blogs and
blog search engines. Hence, splog detection has recently
attracted much attention from research. Most existing
works on splog detection identify splogs using their
content/link features and target on spam filters protecting
blog search engines' index from spam. In this paper, we
propose a splog detection framework by monitoring the
on-line search results. The novelty of our splog detection
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