ABSTRACT
Microblogging websites, such as Twitter and Sina Weibo, have become popular platforms for information dissemination. Hundreds of millions of users frequently post short messages on these websites to release latest news and share their opinions on various topics, such as political events, companies, and daily life. Social spammer detection is an important research topic and has been studied in various social networking websites, such as Twitter, Facebook, YouTube, and Sina Weibo. Existing studies on social spammer detection can be roughly divided into two categories. The first category uses social network analysis to detect social spammers. Spam detection has been extensively studied on various kinds of texts, such as e-mail, web page, SMS, and review. Many microblog spam message detection methods also belong to content-based methods. Normal messages may be related to various topics. However, masses of spam messages share the same targets. In fact, many of them are used collectively to promote the same products, services, or websites.
