Abstract
Nowadays, social platforms have become part of our day by days life, we are more associated with these platforms, we use OSNs to stay connected to friends, share news, and we also use social media platforms to show our talent, run our e-business. This all-social media platform generates a large amount of personal data this all-personal data attracts attackers and imposters to steal personal data, share fake news, and perform malware attacks. By creating Human-generated or bot-generated fake profiles on social media, Therefore, in this project, we create a detection model, which detects fake profiles and genuine profiles on Twitter, based on visible features like followers count, friends count, status counts, and more by using various machine learning methods.
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