Cyberbullying Detection and Severity Determination Model

Author:

Obaid Mohammed Hussein1ORCID,Guirguis Shawkat Kamal2,Elkaffas Saleh Mesbah3

Affiliation:

1. College of Science, Al-Nahrain University, Jadriya, Baghdad, Iraq

2. Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt

3. College of Computing and Information Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Decoding Cyberbullying on Social Media: A Machine Learning Exploration;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. A comprehensive review of cyberbullying-related content classification in online social media;Expert Systems with Applications;2024-06

3. Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm;Computers in Human Behavior;2024-04

4. NLP-Powered Identification of Online Harassment;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

5. Deep Learning Algorithms for Cyber-Bulling Detection in Social Media Platforms;IEEE Access;2024

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