Twitter has become a victim of fake accounts, necessitating a robust fake account detection system.
Methods to detect fake Twitter accounts include behavioral analysis, analyzing profile attributes, exploring the Twitter network, using machine learning models, and applying NLP.
Tools and technologies used for fake account detection include Botometer, Tweepy and Twitter API, and AI frameworks.
While fake account detection systems are constantly improving, cybercriminals continuously find ways to evade detection.