Analysis of Twitter Spam Detection Techniques-A Review
Monika Singh · 2021 International Conference on Technological Advancements and Innovations (ICTAI) · 2021
Spammers have taken to Twitter, a microblogging platform that has grown in popularity as a means of communication and news dissemination. To address this issue, researchers have proposed a number of innovative strategies in recent years that have considerably improved spam detection performance. As a result, it motivates us to perform an evaluation of several proposed techniques of spam detection on Twitter. This study compares the existing research strategies for detecting Twitter spam. The majority of available approaches rely on Machine Learning-based algorithms, according to a literature study. As a result, we suggest a taxonomy based on several feature selection methods and analyses, such as content analysis, user analysis, tweet analysis, and network analysis. Then we present open challenges to assist researchers in developing solutions of this problem.