Spam Detection in Twitter using Machine Learning Algorithms: A Systematic Review

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Presented at CRYPIS 2020 by

Lamia Alghazzawia

Twitter is an open-source communication network where users share their views and ideas. Due to the open accessing policy into the Twitter network, it attracted Spammers, where they see it as a supporting tool to spread spam messages. Lately, there are quite an amount of survey papers available on Twitter spam detection. In this paper, we do a systematic literature review on Twitter spam detection techniques using different Machine Learning approaches. For this purpose, we consider the available published research works from 2014 to 2019. We choose 17 studies for review their methods, algorithms, evaluation measures, datasets, and finally, result comparison of the studies. There is a noticeable trend of future research in this area, and this survey can act as a reference point for the future direction of research.