AI-POWERED FAKE ACCOUNT DETECTION ON SOCIAL MEDIA

Abstract

The rise of social media has created
opportunities for communication and
information sharing but has also led to
an increase in fake and malicious
accounts. Fake accounts spread spam,
misinformation, and phishing attacks,
undermining trust in online platforms.
Traditional manual moderation and rulebased
detection methods are insufficient
for large-scale social networks. This
project proposes an AI-powered system to
detect fake social media accounts
efficiently. The system analyzes multiple
features such as account activity patterns,
post frequency, follower/following ratio,
and profile metadata. Machine learning
algorithms, including Random Forest,
Support Vector Machines (SVM), and
Neural Networks, are used to classify
accounts as genuine or fake. Deep
learning models capture complex
behavioral patterns. Natural Language