Spam Detection and Fake User Identification in Twitter: An Analysis of Machine Learning Models

Author:

Radhika S 1,Phani Sri Siva Charan K 1,Sai Khush Kumar M 1,Ramanjaneya Reddy K 1,Manish Prasad 1

Affiliation:

1. Raghu Institute of Technology, Visakhapatnam, AP, India

Abstract

Spammer detection and fake user identification are significant issues in the realm of social media, with Twitter being no exception. The detection of spammers and fake users on Twitter is essential for preserving the platform's integrity and protecting users from online scams and fraud. This project paper aims to conduct a comprehensive study of the different techniques and algorithms used for spammer detection and fake user identification on Twitter. We will evaluate the effectiveness of traditional techniques and machine learning-based methods and propose a novel approach combining both methods for spammer detection and fake user identification on Twitterpils.

Publisher

Naksh Solutions

Subject

General Medicine

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