Detection of Fake Profiles Using Machine Learning

EasyChair Preprint no. 12589

Abstract

In today’s world, the social media platforms are being used on daily basis and has become an important part of our lives. The number of peoples on social media platforms are incrementing at a greater level for malicious use. There are numerous cases where produced accounts have been effectively distinguished utilizing machine adapting techniques however the amount of research work is very low to recognize counterfeit characters made by people. For bots the ML models used various features to calculate the no. of followers to the no. of friends that an account has on social media platforms (SOCIAL MEDIA PLATFORMS). The number of friends to the no. of followers of any account are easily available in the account profiles and no rights are violated of any accounts. In order to accomplish the task of detecting, identifying and eliminate the fake accounts we establish a forged human account. In this project we intend to give a framework with which the automatic detection of fake profiles can be done so that the social life of people become secured and using automatic detection technique we can make it easier for the sites to manage the huge number of profiles which can’t be done manually.

Keyphrases: fake accounts, machine learning, social media platforms

@Booklet{EasyChair:12589,
  author = {Aum Patel and Jayraj Pamnani and Vrajesh Patel and Shubrath Shakyavanshi},
  title = {Detection of Fake Profiles Using Machine Learning},
  howpublished = {EasyChair Preprint no. 12589},

  year = {EasyChair, 2024}}