Fake profile detection in Twitter
International Research Journal of Modernization in Engineering Technology and Science · 2023
In the present generation, online social networks (OSNs) have become increasingly popular, people's social lives has become more associated with these sites.They use OSNs to keep in touch with each other, share news, organize events, and even run their own e-business.The rapid growth of OSNs and the massive amount of personal data of its subscribers have attracted attackers, and imposters to steal personal data, share false news, and spread malicious activities.On the other hand researchers have started to investigate efficient technique to detect abnormal activities and fake accounts relying on accounts features, and classification algorithms.However, some of the account's exploited features have negative contribution in the final results or have no impact.We used three classification algorithm namely Support Vector Machine, Neural Network and random Forest for detect fake profiles.we are also provide a comparison among these algorithm in terms of their accuracy.