Citation

A Hybrid Approach for Detecting Automated Spammers in Twitter

Author:
Fazil, Mohd; Abulaish, Muhammad
Publication:
IEEE Transactions on Information Forensics and Security
Year:
2018

Twitter is one of the most popular micro blogging services, which is generally used to share news and updates through short messages restricted to 280 characters. However, its open nature and large user base are frequently exploited by automated spammers, content polluters, and other ill-intended users to commit various cybercrimes, such as cyber bullying, trolling, rumor dissemination, and stalking.