Identifying Cyberbullies on Social Networks

       ¹PRADHYUMNA B V, ²POORNACHANDRA S

      ¹Student, Department of Master of Computer Application, East West Institute of Technology (VTU),

Bangalore, Karnataka, India

      ²Assoc. Professor, Department of Master of Computer Application, East West Institute of Technology (VTU),

Bangalore, Karnataka, India

Abstract

The rise of cyberbullying, which will be more terrible than conventional pestering in general given that web-based records typically persist on the Internet for a long time and are challenging to regulate, is one of the most detrimental effects of social media. We present Bully Net, a three-stage calculation for identifying cyberbullies on Twitter interpersonal organization, in this article. By offering a robust technique for constructing a cyberbullying marked network, we take use of tormenting proclivities (SN). In order to streamline the harassment score, we analyze tweets to ascertain their relationship to cyberbullying while also taking into account the context in which the tweets were written.