All Outputs (2)

Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation (2024)
Journal Article
Alharigy, L., Alnuaim, H., Moradpoor, N., & Tan, T. (online). Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation. International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00607-9

Cyberbullying on social media platforms is pervasive and challenging to detect due to linguistic subtleties and the need for extensive data annotation. We introduce a Deep Contrastive Self-Supervised Learning (DCSSL) model that integrates a Natural L... Read More about Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation.

Building Towards Automated Cyberbullying Detection: A Comparative Analysis (2022)
Journal Article
Al Harigy, L. M., Al Nuaim, H. A., Moradpoor, N., & Tan, Z. (2022). Building Towards Automated Cyberbullying Detection: A Comparative Analysis. Computational Intelligence and Neuroscience, 2022, Article 4794227. https://doi.org/10.1155/2022/4794227

The increased use of social media between digitally anonymous users, sharing their thoughts and opinions, can facilitate participation and collaboration. However, it’s this anonymity feature which gives users freedom of speech and allows them to cond... Read More about Building Towards Automated Cyberbullying Detection: A Comparative Analysis.