EFFECTIVE DETECTION OF MALICIOUS TWITTER BOTS USING MACHINE LEARNING ALGORITHMS

Abstract

The rapid growth of social media platforms, particularly Twitter, has led to an increase in the use of automated accounts, or bots, to 
manipulate public misinformation, opinion, spread or engage in malicious activities. Detecting such malicious bots has become a critical challenge for maintaining the integrity of online discourse. This paper explores the application of machine learning algorithms 
for the effective detection of malicious Twitter bots.