Chat Bot User Detection using Likes and Comments On Social Media

Abstract

Social bots represent a new generation of bots that make use of online social networks. Those bots were responsible for launching large-scales pams and manipulating user’s digital information. By using Random Forest algorithm, bot that spams can be detected with higher accuracy. Developing a classification model will lead us to raised understanding of social bot profiles. Detailed results would be compared and analyzed in two levels within preliminary level .Findings from our experiment on social network platform demonstrates that detection accuracy increases by an average of 50% in comparison to quantitative analysis of user behavior.