Who cites «Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach»
- Emojis as Anchors to Detect Arabic Offensive Language and Hate SpeechNatural Language EngineeringHamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury2022 · 96 citations
- Offensive Language Detection in Under-resourced Algerian Dialectal Arabic LanguagearXiv:2203.10024Oussama Boucherit, Kheireddine Abainia2022 · 19 citations
- An Annotated Corpus of Arabic Tweets for Hate Speech AnalysisRecent Advances in Natural Language Processing (RANLP)Wajdi Zaghouani, Md. Rafiul Biswas2025 · 13 citations
- Ensemble of pre-trained language models and data augmentation for hate speech detection from Arabic tweetsarXiv:2407.02448Kheir Eddine Daouadi, Yaakoub Boualleg, Kheir Eddine Haouaouchi2024 · 4 citations
- AraDetox: A Multi-Dialect Arabic Detoxification DatasetarXiv:2608.22894 · ArabicNLP 2026 at EMNLP 2026 ConferenceMo El-Haj2026
- CHILLAX - at Arabic Hate Speech 2022: A Hybrid Machine Learning and Transformers based Model to Detect Arabic Offensive and Hate SpeechWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksKirollos Makram, Kirollos George Nessim, Malak Emad Abd-Almalak, et al.2022
This page in Markdown → https://md.research.elamur.ai/free/en/papers/alshaalan-2020-hate-speech-detection-saudi-twittersphere/cited-by/