Spamming the mainstream: A survey on trending Twitter spam detection techniques
社会化媒体
论坛垃圾邮件
垃圾邮件程序
互联网
互联网隐私
作者
L. A. Lalitha,Vishwanath R Hulipalled,K. R. Venugopal
出处
期刊:2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon)日期:2017-08-01被引量:4
标识
DOI:10.1109/smarttechcon.2017.8358413
摘要
In recent years, social networking sites are being referred frequently by the people, due to this the social networking sites are growing very fast. Twitter is one such micro-blogging site where the users are able to connect with new people and know what is happening in the world through the topics discussed on twitter. For this reason, twitter is targeted by malicious users who post harmful links, unwanted messages which are not of users interest which is called, spam. In this paper, a comprehensive survey on existing methods on twitter spam detection is presented. From this survey, it is clear that detecting URL content in the tweet is very important to know whether the tweet is spam or non-spam. The advantages and faws are discussed. The comparative analysis of the existing detection methods are also presented by reviewing research papers published from 2010–2017. There is a lot of scope for the researchers to carry out their research in fnding out an eff cient Twitter Spam Detection method.