Programme
BSc (Hons) in Computing in IT
Subject
Computer Science
Abstract
This project focuses on applying Machine Learning (ML) techniques to detect hate speech and offensive language on Twitter, addressing ethical concerns like cyberbullying and fostering a safer online environment. The topic is chosen for its societal significance and business relevance, as hostile online behaviour negatively impacts user experiences and platform credibility.
To achieve this, the study implements four distinct ML models to develop an automated system capable of identifying and categorising content as offensive, non-offensive, or neutral. The system aims to contribute to mitigating harmful interactions on social media and improving user safety by effectively classifying potentially problematic content.
The project's approach underlines the importance of integrating technological solutions to address ethical challenges while aligning with business interests in creating more inclusive digital spaces.
Date of Award
2024
Full Publication Date
2024
Access Rights
open access
Document Type
Undergraduate Project
Resource Type
bachelor thesis
Recommended Citation
Lorens, Mayara and Lorens, Thayene, "Using Machine Learning to Identify Hate Speech and Offending Language on Twitter." (2024). ICT. 70.
https://arc.cct.ie/ict/70