The Use of a Large Language Model for Cyberbullying Detection
The dominance of social media has added to the channels of bullying for perpetrators. Unfortunately, cyberbullying (CB) is the most prevalent phenomenon in today’s cyber world, and is a severe threat to the mental and physical health of citizens. This opens the need to develop a robust system to pre...
Main Authors: | Bayode Ogunleye, Babitha Dharmaraj |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Analytics |
Subjects: | |
Online Access: | https://www.mdpi.com/2813-2203/2/3/38 |
Similar Items
-
Cyberbullying Text Identification based on Deep Learning and Transformer-based Language Models
by: Khalid Saifullah, et al.
Published: (2024-02-01) -
Expert-Annotated Dataset to Study Cyberbullying in Polish Language
by: Michal Ptaszynski, et al.
Published: (2023-12-01) -
Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches
by: Teoh Hwai Teng, et al.
Published: (2023-01-01) -
Cyberbullying Detection Based on Emotion
by: Mohammed Al-Hashedi, et al.
Published: (2023-01-01) -
A Systematic Review of Machine Learning Algorithms in Cyberbullying Detection: Future Directions and Challenges
by: Muhammad Arif
Published: (2021-06-01)