Hate Speech Detection Using Cross-Platform Social Media Data in English and German Language

Gautam Shahi, Tim Majchrzak

2024

Abstract

Hate speech has grown into a pervasive phenomenon, intensifying during times of crisis, elections, and social unrest. Multiple approaches have been developed to detect hate speech using artificial intelligence, however, a generalized model is yet unaccomplished. The challenge for hate speech detection as text classification is the cost of obtaining high-quality training data. This study focuses on detecting bilingual hate speech in YouTube comments and measuring the impact of using additional data from other platforms in the performance of the classification model. We examine the value of additional training datasets from cross-platforms for improving the performance of classification models. We also included factors such as content similarity, definition similarity, and common hate words to measure the impact of datasets on performance. Our findings show that adding more similar datasets based on content similarity, hate words, and definitions improves the performance of classification models. The best performance was obtained by combining datasets from YouTube comments, Twitter, and Gab with an F1-score of 0.74 and 0.68 for English and German YouTube comments.

Paper Citation

in Harvard Style

Shahi G. and Majchrzak T. (2024). Hate Speech Detection Using Cross-Platform Social Media Data in English and German Language. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 131-140. DOI: 10.5220/0013070000003825

in Bibtex Style

@conference{webist24,
author={Gautam Shahi and Tim Majchrzak},
title={Hate Speech Detection Using Cross-Platform Social Media Data in English and German Language},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={131-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013070000003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Hate Speech Detection Using Cross-Platform Social Media Data in English and German Language
SN - 978-989-758-718-4
AU - Shahi G.
AU - Majchrzak T.
PY - 2024
SP - 131
EP - 140
DO - 10.5220/0013070000003825
PB - SciTePress