Building a Machine Learning-Powered Support System for Cyberbullying Victims

EasyChair Preprint no. 13039

Abstract

Cyberbullying is a pervasive issue with serious psychological and social consequences for its victims. This paper proposes the development of a machine learning-powered support system aimed at assisting cyberbullying victims. The system will utilize natural language processing (NLP) techniques to analyze text data from social media platforms and identify instances of cyberbullying. By detecting harmful content early, the system can alert users and relevant authorities, providing timely intervention and support. Additionally, the system will offer resources and guidance to victims, empowering them to cope with cyberbullying and seek help. This project aims to leverage the capabilities of machine learning to create a safer online environment and mitigate the negative impacts of cyberbullying

Keyphrases: Cyberbullying, machine learning, NLP

@Booklet{EasyChair:13039,
  author = {Abil Robert},
  title = {Building a Machine Learning-Powered Support System for Cyberbullying Victims},
  howpublished = {EasyChair Preprint no. 13039},

  year = {EasyChair, 2024}}