Supervisor
Dr Muhammad Iqbal
Programme
BSc (Hons) in Computing in IT
Subject
Computer Science
Abstract
This project aims to explore how Machine Learning can contribute to a better digital interaction, mainly focusing on environments such as online chats, social media, and customer support as they are now an imperative part of daily communication. With this, concerns around hate speech in digital conversations is critical (Council of Europe, 2024). This study focus on the development of a Hate Speech Language Detection Chatbot using machine learning techniques. The key purpose of the chatbot is to monitor and detect harmful content in real time, reducing the need for manual intervention. The creation and implementation of such a tool is meant to support businesses to mitigate legal risks and encourage more respectful communication. The automation of content moderation is a central part to enhance user experience and save operational time
Date of Award
2025
Full Publication Date
2025
Access Rights
open access
Document Type
Poster
Resource Type
other
Recommended Citation
Gheorghita, R., & Mariano, W.
(2025) Improving Chatbot Interactions Through AI-Driven Hate Speech Detection: Evolving to a Safer Digital Environment-Poster CCT College Dublin.
DOI: https://doi.org/10.63227/652.299.49