---
title: "Who cites COVID-19 and Arabic Twitter: How — 5 citing papers"
description: "5 papers of the Elamur Research library cite «COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health…"
canonical: "https://research.elamur.ai/free/en/papers/alsudias-2020-covid-19-arabic-twitter-how/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [COVID-19 and Arabic Twitter: How can Arab World…](https://md.research.elamur.ai/free/en/papers/alsudias-2020-covid-19-arabic-twitter-how/) / cited by

# Who cites «COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?»](https://md.research.elamur.ai/free/en/papers/alsudias-2020-covid-19-arabic-twitter-how/)

1. **[ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection](https://md.research.elamur.ai/free/en/papers/haouari-2021-arcov19-rumors-arabic-covid-19/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Fatima Haouari, Maram Hasanain, Reem Suwaileh, et al.*2021 · 35 citations*
2. [**AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset arXiv:2105.03143**Mohamed Seghir Hadj Ameur, Hassina Aliane*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-mfh-arabic-covid-19/)
3. **[ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination](https://md.research.elamur.ai/free/en/papers/mubarak-2022-arcovidvac-analyzing-arabic-tweets-about/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury, et al.*2022 · 13 citations*
4. **[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*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/alsudias-2020-covid-19-arabic-twitter-how/) — COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?