Multi Platform-Based Hate Speech Detection

Shane Cooke, Damien Graux, Soumyabrata Dev

2023

Abstract

A major issue faced by social media platforms today is the detection, and handling of hateful speech. The intricacies and imperfections of online communication make this a difficult task, and the rapidly changing use of both non-hateful, and hateful language in the online sphere means that researchers must constantly update and modify their hate speech detection methodologies. In this study, we propose an accurate and versatile multi-platform model for the detection of hate speech, using first-hand data scraped from some of the most popular social media platforms, that we share to the community. We explore and optimise 50 different model approaches, and evaluate their performances using several evaluation metrics. Overall, we successfully build a hate speech detection model, pairing the USE word embeddings with the SVC machine learning classifier, to obtain an average accuracy of 95.65% and achieved a maximum accuracy of 96.89%. We also develop and share an application allowing users to test sentences against a collection of the most accurate hate speech detection models. Our application then returns a aggregated hate speech classification, together with a confidence level, and a breakdown of the methodologies used to produce the final classification for explainability.

Paper Citation

in Harvard Style

Cooke S., Graux D. and Dev S. (2023). Multi Platform-Based Hate Speech Detection. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 541-549. DOI: 10.5220/0011698600003393

in Bibtex Style

@conference{icaart23,
author={Shane Cooke and Damien Graux and Soumyabrata Dev},
title={Multi Platform-Based Hate Speech Detection},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={541-549},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011698600003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Multi Platform-Based Hate Speech Detection
SN - 978-989-758-623-1
AU - Cooke S.
AU - Graux D.
AU - Dev S.
PY - 2023
SP - 541
EP - 549
DO - 10.5220/0011698600003393