ADVANCED DEEP-LEARNING TECHNIQUES FOR IMPROVED CYBERBULLYING DETECTION IN ARABIC TWEETS

Marah Hawa; ,; Thani Kmail; ,; Ahmad Hasasneh; ,

Article Details

ADVANCED DEEP-LEARNING TECHNIQUES FOR IMPROVED CYBERBULLYING DETECTION IN ARABIC TWEETS

Authors:

Marah Hawa | , | Thani Kmail | , | Ahmad Hasasneh | ,

Publisher:

Princess Sumaya University for Technology

Journal:

Jordanian Journal of Computers and Information Technology Vol.11 Issue 3, pp.0-0

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001937063

pISSN:

2413-9351

Keywords:

Abstract:

 Cyberbullying has emerged as a pressing issue in the digital era, particularly within Arabic-speaking communities, where research remains limited. This study investigates the detection of Arabic cyberbullying on social media using both traditional machine learning (ML) and deep learning (DL) techniques. A publicly available dataset of Arabic tweets was used to train and evaluate several ML models (SVM, NB, LR and XGBoost), alongside a recurrent neural network (RNN). The results demonstrate that the RNN significantly outperforms classical ML models, highlighting the efficacy of DL in accurately identifying abusive content in Arabic text. These results emphasize the necessity of incorporating linguistically rich data and advanced neural architectures to improve cyberbullying-detection systems in low-resource languages such as Arabic.

Article Details

ADVANCED DEEP-LEARNING TECHNIQUES FOR IMPROVED CYBERBULLYING DETECTION IN ARABIC TWEETS

Authors:

Marah Hawa | , | Thani Kmail | , | Ahmad Hasasneh | ,

Publisher:

Princess Sumaya University for Technology

Journal:

Jordanian Journal of Computers and Information Technology Vol.11 Issue 3, pp.0-0

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001937063

pISSN:

2413-9351

Machine learning algorithms

Arabic tweets

Deep-learning techniques

Recurrent neural network

Cyberbullying

Issues

Article Details

ADVANCED DEEP-LEARNING TECHNIQUES FOR IMPROVED CYBERBULLYING DETECTION IN ARABIC TWEETS

Authors: Marah Hawa | , | Thani Kmail | , | Ahmad Hasasneh | ,

Publisher: Princess Sumaya University for Technology

Journal: Jordanian Journal of Computers and Information Technology Vol.11 Issue 3, pp.0-0

Document Type: Article

Publication Date: 1/2025

Document Language: English

Document ID (Org No.): 2001937063

pISSN: 2413-9351

Machine learning algorithms

Arabic tweets

Deep-learning techniques

Recurrent neural network

Cyberbullying

Issues

Authors:

Marah Hawa | , | Thani Kmail | , | Ahmad Hasasneh | ,

Publisher:

Princess Sumaya University for Technology

Journal:

Jordanian Journal of Computers and Information Technology Vol.11 Issue 3, pp.0-0

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001937063

pISSN:

2413-9351