Automatic Discovery of Online Harassment in Social Network with Machine Learning Techniques

Authors

  • Dr. Y. Vijay Bhaskar Reddy, Mr.Yalanati Ayyappa, K.Swathi, Mr.Panibhate Neelakanteeswara,

Abstract

The social system provides a standard space for interaction between countless individuals (usually
teenagers and young people). Social platforms such as Facebook and Twitter enable everyone to
communicate with people from all over the world. Faced with so many network-based problems, such as
social harassment and crime, these problems have become more and more serious. To prevent these
situations, we need a proper identification tool to detect harmful messages as early as possible. Artificial
intelligence plays an important role in solving such problems. Our proposed method develops a
mechanism to identify online harassment through context-based identification. In order to achieve this
goal, we have worked on two familiar social platforms (such as Twitter and MySpace) and achieved
better results compared with existing mechanisms.

Published

2020-10-17

Issue

Section

Articles