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    <abstract>In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that spans one year, covering the period from 27th of January 2020 till 31st of January 2021. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes about 2.7M tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and -liked). The propagation networks include both retweetsand conversational threads (i.e., threads of replies). ArCOV-19 is designed to enable research under several domains including natural language processing, information retrieval, and social computing. Preliminary analysis shows that ArCOV-19 captures rising discussions associated with the first reported cases of the disease as they appeared in the Arab world. In addition to the source tweets and the propagation networks, we also release the search queries and the language-independent crawler used to collect the tweets to encourage the curation of similar datasets.</abstract>
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%0 Conference Proceedings
%T ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
%A Haouari, Fatima
%A Hasanain, Maram
%A Suwaileh, Reem
%A Elsayed, Tamer
%Y Habash, Nizar
%Y Bouamor, Houda
%Y Hajj, Hazem
%Y Magdy, Walid
%Y Zaghouani, Wajdi
%Y Bougares, Fethi
%Y Tomeh, Nadi
%Y Abu Farha, Ibrahim
%Y Touileb, Samia
%S Proceedings of the Sixth Arabic Natural Language Processing Workshop
%D 2021
%8 April
%I Association for Computational Linguistics
%C Kyiv, Ukraine (Virtual)
%F haouari-etal-2021-arcov
%X In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that spans one year, covering the period from 27th of January 2020 till 31st of January 2021. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes about 2.7M tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and -liked). The propagation networks include both retweetsand conversational threads (i.e., threads of replies). ArCOV-19 is designed to enable research under several domains including natural language processing, information retrieval, and social computing. Preliminary analysis shows that ArCOV-19 captures rising discussions associated with the first reported cases of the disease as they appeared in the Arab world. In addition to the source tweets and the propagation networks, we also release the search queries and the language-independent crawler used to collect the tweets to encourage the curation of similar datasets.
%U https://aclanthology.org/2021.wanlp-1.9
%P 82-91

Markdown (Informal)

[ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks](https://aclanthology.org/2021.wanlp-1.9) (Haouari et al., WANLP 2021)

• ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks (Haouari et al., WANLP 2021)

ACL

• Fatima Haouari, Maram Hasanain, Reem Suwaileh, and Tamer Elsayed. 2021. ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks. In Proceedings of the Sixth Arabic Natural Language Processing Workshop, pages 82–91, Kyiv, Ukraine (Virtual). Association for Computational Linguistics.