LI Heyuan 1,2, YU Xiaoming 1, LIU Yue 1, CHENG Xueqi 1, CHENG Gong3
1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; 2. University of Chinese Academy of Sciences, Beijing 100190, China; 3. National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China
Abstract：Micro-blogs changes the way people obtain information. However, Micro-blogs has been infiltrated by large amount of spam, which is a challenge to normal user. In this paper, we research on spam in Chinese Micro-blogs. We study the behavior of spam user and propose 7 new features for detecting them. Then, we describe how to apply features into detecting spammer via a SVM classifier. The experiment results indicate that the accuracy and recall of the proposed method is satisfactory.
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2014, Vol. 28 
