Detecting Spam on Social Networking Sites: Related Work

1. RELATED WORK The rise of social media has made Social Networking Services (SNSs) more attractive targets for spam and fraud, leading to increasingly sophisticated attacks. This trend is reflected in recent research, as papers have focused on identifying and classifying the various types of social media spam. Many of these studies employ techniques previously used to combat conventional email and web spam. SNSs also provide opportunities to take advantage of user reputation and other social graph-dependent features to improve classification. Nevertheless, most research has been carried out on publicly-available data from SNSs, making it difficult up until now to measure the effect of private user data on algorithms for detecting site misuse.