Hate Speech Detection on Social Media – A Practical Research using NLP and LLM Models

Benny, Bini (2024) Hate Speech Detection on Social Media – A Practical Research using NLP and LLM Models. Masters thesis, Dublin, National College of Ireland.

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Abstract

Hate speech on social media poses a fundamental problem that affects both community safety and online discourse. Conventional techniques for identifying such content, such as decision tree classifiers, frequently fail to capture the complex phrasing and context of hate speech. I used a cutting-edge Large Language Model (LLM) from OpenAI to improve the detection accuracy of hate speech to solve this. By utilizing the LLM’s sophisticated natural language processing powers, this approach allows it to comprehend context and nuances more accurately than other models. The outcomes show a significant improvement, with our model outperforming conventional classifiers with over 95 percent accuracy. This development gives social media sites considerable advantages in reducing harmful information and is in line with current advances in using deep learning for complex linguistic tasks. Still, there are issues with how well the model handles ambiguous circumstances and how to modify it to fit changing linguistic trends.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
Uncontrolled Keywords:	Hate Speech Detection; Natural Language Processing; Large Language Models
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Artificial Intelligence
Depositing User:	Ciara O'Brien
Date Deposited:	18 Jun 2025 10:47
Last Modified:	18 Jun 2025 10:47
URI:	https://norma.ncirl.ie/id/eprint/7903

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