文章基本信息

标题：A Survey on Spam Detection Methodologies in Social Networking Sites
本地全文：下载
作者：K Subba Reddy ; E Srinivasa Reddy
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：4
页码：483-488
出版社：IJCSN publisher
摘要：Conventional media, such as television or newspapers, essentially transmits information in one direction. Social media is a two-way form of communication that allows users to interact with the information being transmitted. Social media encompasses a wide variety of online content, from social networking sites like Facebook . online social networks are becoming popular among internet users. The internet users spend more amount of time on popular networking sites like Facebook, Twitter, google+ etc. Huge information available on these sites attracts the spammers who misuse the valuable information on these sites. Spammers send unwanted messages, share malicious links, develop malicious apps and sometimes create fake accounts. A lot of research has been done to detect spam on social networking sites. In this paper we have reviewed different research papers on spam detection. Our study provides techniques used, dataset and accuracy of various spam detection methodologies.
关键词：Social Media; Facebook; Twitter; Spammer; Internet