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Title

Detecting Spammers in Social Networks

Author

Eman A. Altameem and Mehmet Sabih Aksoy

Citation

Vol. 20  No. 11  pp. 153-158

Abstract

Social networking sites involve millions of users all over the world for communicating, sharing, storing and managing significant information. Twitter has become one of most widely used social networking platforms. Unfortunately, this huge popularity also attracts spammers who misuse the valuable information and threatened normal users’ personal privacy and information security. A lot of research has been developed for detecting spammers on social networking sites. However, social spammers frequently change their spamming strategies to overcome the detection system. In this paper, we perform a review of techniques for detecting spammers on Twitter. Features for the detection of spammers are also described.

Keywords

Online Social Networks, Spam Detection, Machine Learning, Twitter.

URL

http://paper.ijcsns.org/07_book/202011/20201119.pdf