[HTML][HTML] Arabic offensive and hate speech detection using a cross-corpora multi-task learning model

W Aldjanabi, A Dahou, MAA Al-qaness, MA Elaziz… - Informatics, 2021 - mdpi.com
As social media platforms offer a medium for opinion expression, social phenomena such as
hatred, offensive language, racism, and all forms of verbal violence have increased …

Building towards automated cyberbullying detection: A comparative analysis

LM Al-Harigy, HA Al-Nuaim… - Computational …, 2022 - Wiley Online Library
The increased use of social media among digitally anonymous users, sharing their thoughts
and opinions, can facilitate participation and collaboration. However, this anonymity feature …

An Innovation in planning management for learning Arabic at Islamic boarding schools

Z Arifin, A Desrani, AW Ritonga… - Nidhomul Haq: Jurnal …, 2023 - e-journal.uac.ac.id
The purpose of this study: first, to find out the type of language boarding program at the
Salafiyyah Syafi'iyyah Islamic Boarding School in Situbondo. Second, to find out the …

[HTML][HTML] Detecting abusive comments at a fine-grained level in a low-resource language

BR Chakravarthi, R Priyadharshini, S Banerjee… - Natural Language …, 2023 - Elsevier
YouTube is a video-sharing and social media platform where users create profiles and
share videos for their followers to view, like, and comment on. Abusive comments on videos …

[HTML][HTML] The effect of rebalancing techniques on the classification performance in cyberbullying datasets

M Khairy, TM Mahmoud, T Abd-El-Hafeez - Neural Computing and …, 2024 - Springer
Cyberbullying detection systems rely increasingly on machine learning techniques.
However, class imbalance in cyberbullying datasets, where the percentage of normal …

[HTML][HTML] Aggression detection in social media from textual data using deep learning models

U Khan, S Khan, A Rizwan, G Atteia, MM Jamjoom… - Applied Sciences, 2022 - mdpi.com
It is an undeniable fact that people excessively rely on social media for effective
communication. However, there is no appropriate barrier as to who becomes a part of the …

[HTML][HTML] The design, construction and evaluation of annotated Arabic cyberbullying corpus

F Shannag, BH Hammo, H Faris - Education and Information Technologies, 2022 - Springer
Cyberbullying (CB) is classified as one of the severe misconducts on social media. Many CB
detection systems have been developed for many natural languages to face this …

[HTML][HTML] Deep learning-based approaches for abusive content detection and classification for multi-class online user-generated data

S Kaur, S Singh, S Kaushal - International Journal of Cognitive Computing …, 2024 - Elsevier
With the rapid growth of social media culture, the use of offensive or hateful language has
surged, which necessitates the development of effective abusive language detection models …

Holistic Approaches to Bullying Prevention: The Mediating Role of School Well-Being, Self-Management, and Empathy

R Pusvitasari, A Zarkasyi - At-tadzkir: Islamic Education Journal, 2024 - at-tadzkir.pdtii.org
This research aims to examine the influence of self-management and empathy on the
tendency of bullying behavior among teenage students through the mediating role of the …

Ar-PuFi: A short-text dataset to identify the offensive messages towards public figures in the Arabian community

M Abdelhakim, B Liu, C Sun - Expert Systems with Applications, 2023 - Elsevier
The fight against offensive speech on the Internet necessitates increased efforts from
linguistic analysis and artificial intelligence perspectives to develop countermeasures and …