  As our reliance on social media platforms and web services increase day by
day, exploiters view these platforms as an opportunity to manipulate our
thoughts ad actions. These platforms have become an open playground for social
bot accounts. Social bots not only learn human conversations, manners, and
presence but also manipulate public opinion, act as scammers, manipulate stock
markets, and so on. There has been evidence of bots manipulating people's
opinions and thoughts which can be a great threat to democracy. Identification
and prevention of such campaigns that release or create these bots have become
critical. Our goal in this paper is to leverage web mining techniques to help
detect fake bots on social media platforms such as Twitter, thereby mitigating
the spread of disinformation.
