Detecting "Smart" Spammers on Social Network: A Topic Model Approach
Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu · 2016
Spammer detection on social network is a challenging problem.The rigid anti-spam rules have resulted in emergence of "smart" spammers.They resemble legitimate users who are difficult to identify.In this paper, we present a novel spammer classification approach based on Latent Dirichlet Allocation (LDA), a topic model.Our approach extracts both the local and the global information of topic distribution patterns, which capture the essence of spamming.Tested on one benchmark dataset and one self-collected dataset, our proposed method outperforms other stateof-the-art methods in terms of averaged F1score.