---
title: "Who cites Adult Content Detection on Arabic — 12 citing papers"
description: "12 papers of the Elamur Research library cite «Adult Content Detection on Arabic Twitter: Analysis and Experiments», found in their…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Adult Content Detection on Arabic Twitter…](https://md.research.elamur.ai/free/en/papers/mubarak-2021-adult-content-detection-arabic-twitter/) / cited by

# Who cites «Adult Content Detection on Arabic Twitter: Analysis and Experiments»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «Adult Content Detection on Arabic Twitter: Analysis and Experiments»](https://md.research.elamur.ai/free/en/papers/mubarak-2021-adult-content-detection-arabic-twitter/)

1. **[GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP](https://md.research.elamur.ai/free/en/papers/khondaker-2023-gptaraeval-comprehensive-evaluation-chatgpt-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, et al.*2023 · 110 citations*
2. **[Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech](https://md.research.elamur.ai/free/en/papers/mubarak-2022-emojis-anchors-detect-arabic-offensive/) [Natural Language Engineering](https://md.research.elamur.ai/free/en/venues/natural-language-engineering/)**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury*2022 · 96 citations*
3. **[ORCA: A Challenging Benchmark for Arabic Language Understanding](https://md.research.elamur.ai/free/en/papers/elmadany-2023-orca-challenging-benchmark-arabic-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**AbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 83 citations*
4. **[ASAD: Arabic Social media Analytics and unDerstanding](https://md.research.elamur.ai/free/en/papers/hassan-2021-asad-arabic-social-media-analytics/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sabit Hassan, Hamdy Mubarak, Ahmed Abdelali, et al.*2021 · 42 citations*
5. **[Arabic Dataset for LLM Safeguard Evaluation](https://md.research.elamur.ai/free/en/papers/ashraf-2025-arabic-dataset-llm-safeguard-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yasser Ashraf, Yuxia Wang, Bin Gu, et al.*2025 · 22 citations*
6. **[AlclaM: Arabic Dialect Language Model](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialect-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 10 citations*
7. **[ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arcorona-analyzing-arabic-tweets-early/) [International Workshop on Health Text Mining and Information Analysis](https://md.research.elamur.ai/free/en/venues/international-workshop-on-health-text-mining-and-information-analysis-louhi/)**Hamdy Mubarak, Sabit Hassan*2021 · 10 citations*
8. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations*
9. [**Toxic language detection: a systematic review of Arabic datasets arXiv:2312.07228**Imene Bensalem, Paolo Rosso, Hanane Zitouni*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bensalem-2023-toxic-language-detection-systematic-review/)
10. **[UL2C: Mapping User Locations to Countries on Arabic Twitter](https://md.research.elamur.ai/free/en/papers/mubarak-2021-ul2c-mapping-user-locations-countries/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hamdy Mubarak, Sabit Hassan*2021 · 4 citations*
11. [**AlcLaM: Arabic Dialectal Language Model arXiv:2407.13097**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
12. [**On the importance of Data Scale in Pretraining Arabic Language Models arXiv:2401.07760**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/)
- [← back to](https://md.research.elamur.ai/free/en/papers/mubarak-2021-adult-content-detection-arabic-twitter/) — Adult Content Detection on Arabic Twitter: Analysis and Experiments
