Hate Speech Detection using Large Language Models: A Comprehensive Review
The widespread use of social media and other online platforms has facilitated
unprecedented communication and information exchange. However, it has also led to the …
unprecedented communication and information exchange. However, it has also led to the …
Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models
Technological developments over the past few decades have changed the way people
communicate, with platforms like social media and blogs becoming vital channels for …
communicate, with platforms like social media and blogs becoming vital channels for …
Hate Speech Detection in Arabic Text: Survey
In light of the continuous expansion of social media content, users have the freedom to
express themselves without any boundaries or restrictions over the content. Unfortunately …
express themselves without any boundaries or restrictions over the content. Unfortunately …
CNN-BiGRU-Focus: A Hybrid Deep Learning Classifier for Sentiment and Hate Speech Analysis of Ashura-Arabic Content for Policy Makers.
The rise of hate speech on social media during significant cultural and religious events, such
as Ashura, poses serious challenges for content moderation, particularly in languages like …
as Ashura, poses serious challenges for content moderation, particularly in languages like …
Hybrid Deep Learning for Detecting Hate Speech Across Social Media Platforms
L Kevin, CT Yee, CZ Liang, S Yong, YC Han… - Current and Future …, 2025 - Springer
The proliferation of social media platforms has enhanced global communication and
facilitated the spread of hate speech, posing a significant challenge to online communities …
facilitated the spread of hate speech, posing a significant challenge to online communities …