[HTML][HTML] Arabic offensive and hate speech detection using a cross-corpora multi-task learning model
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 …
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 …
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 …
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 …
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
Cyberbullying detection systems rely increasingly on machine learning techniques.
However, class imbalance in cyberbullying datasets, where the percentage of normal …
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
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 …
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
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 …
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
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 …
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 …
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 …
linguistic analysis and artificial intelligence perspectives to develop countermeasures and …