Detecting Hate Speech in Tweets with Advanced Machine Learning Techniques

J. David Sukeerthi Kumar, Dudekula Moulabi, Dudekula Hussainamma, Battula Kavya, Boothuru Veena Nissie, Ganne Rakshitha

2025

Abstract

Twitter is a social media platform that enables the swift dissemination of information. Twitter users have the ability to broadcast brief messages called tweets. Tweets have news, opinions, and random thoughts. But they also have discriminatory messages, such as hate speech, that can promote hatred and hurt people as well as companies. Determining hate speech is key to maintaining a considerate and safe online community. The project aims to enhance internet security by identifying hate speech in tweets through machine learning techniques, specifically Natural Language Processing (NLP). Training of the model will be executed on a tagged dataset. The tweets can be preprocessed by eliminating special characters and stop words before being transformed into embeddings with the help of BERT/RoBERTa and XGBoost the proposed method significantly improves detection accuracy while reducing false positives, as measured by F1-score, recall, and precision.

Paper Citation

in Harvard Style

Kumar J., Moulabi D., Hussainamma D., Kavya B., Nissie B. and Rakshitha G. (2025). Detecting Hate Speech in Tweets with Advanced Machine Learning Techniques. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 81-85. DOI: 10.5220/0013923100004919

in Bibtex Style

@conference{icrdicct`2525,
author={J. Kumar and Dudekula Moulabi and Dudekula Hussainamma and Battula Kavya and Boothuru Nissie and Ganne Rakshitha},
title={Detecting Hate Speech in Tweets with Advanced Machine Learning Techniques},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={81-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013923100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Detecting Hate Speech in Tweets with Advanced Machine Learning Techniques
SN - 978-989-758-777-1
AU - Kumar J.
AU - Moulabi D.
AU - Hussainamma D.
AU - Kavya B.
AU - Nissie B.
AU - Rakshitha G.
PY - 2025
SP - 81
EP - 85
DO - 10.5220/0013923100004919
PB - SciTePress