🔗 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?»

1. ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation DetectionArabic Natural Language Processing Workshop (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 DatasetarXiv:2105.03143Mohamed Seghir Hadj Ameur, Hassina Aliane2021 · 16 citations
3. ArCovidVac: Analyzing Arabic Tweets About COVID-19 VaccinationLanguage Resources and Evaluation Conference (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) PandemicInternational Workshop on Health Text Mining and Information AnalysisHamdy Mubarak, Sabit Hassan2021 · 10 citations

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

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