• Rajnish K. Prince
• Snehal S. Thube
• Rahul Ranjan
• Akash L.Sakat
• Ms. V. A. Yaduvanshi

Malicious social bots are a very common issue in online social networks. These malicious social bots are being used for a many of purposes such as artificially increasing the popularity of a people or movement,manipulating financial markets, amplifying phishing attacks, spreading spam, and shutting down free speech. Therefor detection of these bots in online social networks is of great importance. Social media platforms are not able to apply maximum stringent requirements for account creation because for a variety of reasons such as it may prevent some legitimate users from signing up, it will lack the ability to maintain some anonymity for protestors under oppressive regimes, it may cause inconvenience to real users. So another machine learning algorithms were used to find these malicious social bots. In proposed system we are using various machine learning algorithm such as Random Forest (RF) and Support Vector Machine (SVM).

SVM, Machine Learning, Malicious, Twitter Dataset.

"Detection Of Bots In Twitter Network Using Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.304-309, August-2022, Available :http://www.jetir.org/papers/JETIRFP06054.pdf

"Detection Of Bots In Twitter Network Using Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp304-309, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06054.pdf