BotNet Detection on Social Media
This addresses the threat of bots manipulating public opinion and democracy, though it appears incremental in applying existing techniques to this domain.
The paper tackled the problem of detecting social bot accounts on platforms like Twitter to combat disinformation, using web mining techniques to identify fake bots.
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.