Identifying Cyberbullying and Hate Speech via Sentiment Analysis of Social Media Text Social Networks

Loveleen Kaur Pabla, Prashant Kumar Jain, Prabhat Patel, Shailja Shukla

2025

Abstract

In the current digital era, in addition to being a vital component of modern life, social media has also given rise to the pervasive and dangerous issue of cyberbullying. The rise of social media platforms has coincided with an increase in cyberbullying, a type of abuse that takes place on these sites. Social networks on the internet are expanding quickly in many ways. These platforms are being utilised by various businesses to advertise their goods and interact with final customers. Conversely, some groups are abusing these platforms to spread hate speech, violent materials, and offensive or harassing material. The social climate both online and offline is out of balance as a result of all these events. The proposed work analyses the text content of social media posts, messages, and blogs to provide a research proposal on the identification of hate and bullying content online. Machine learning methods and sentiment analysis are used in this context as crucial instruments to handle large volumes of data. In addition to finding bullying terms, sentiment analysis has the ability to identify victims in danger of hurting themselves or others. In order to detect signs of bullying in social media posts, our research relies on applying deep learning and natural language comprehension approaches. A Recurrent Neural Network with Long Short-Term Memory (LSTM) cells was constructed using multiple embeddings. One method makes use of BERT embeddings, while the other uses OpenAI's freshly published embeddings API in place of the embeddings layer.

Paper Citation

in Harvard Style

Pabla L., Jain P., Patel P. and Shukla S. (2025). Identifying Cyberbullying and Hate Speech via Sentiment Analysis of Social Media Text Social Networks. 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 448-453. DOI: 10.5220/0013899800004919

in Bibtex Style

@conference{icrdicct`2525,
author={Loveleen Pabla and Prashant Jain and Prabhat Patel and Shailja Shukla},
title={Identifying Cyberbullying and Hate Speech via Sentiment Analysis of Social Media Text Social Networks},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={448-453},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013899800004919},
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 - Identifying Cyberbullying and Hate Speech via Sentiment Analysis of Social Media Text Social Networks
SN - 978-989-758-777-1
AU - Pabla L.
AU - Jain P.
AU - Patel P.
AU - Shukla S.
PY - 2025
SP - 448
EP - 453
DO - 10.5220/0013899800004919
PB - SciTePress