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README.md
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### Dataset Summary
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ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till
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### Supported Tasks and Leaderboards
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### Citation Information
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@article{haouari2020arcov19,
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}
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### Contributions
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### Dataset Summary
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ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 5th of May 2021.
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ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes about 3.2M
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tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and-liked).
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The propagation networks include both retweets and conversational threads (i.e., threads of replies).
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ArCOV-19 is designed to enable research under several domains including natural language processing, information
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retrieval, and social computing, among others. Preliminary analysis shows that ArCOV-19 captures rising discussions
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associated with the first reported cases of the disease as they appeared in the Arab world. In addition to the source
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tweets and the propagation networks, we also release the search queries and the language-independent crawler used to
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collect the tweets to encourage the curation of similar datasets.
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### Supported Tasks and Leaderboards
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### Citation Information
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```
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@article{haouari2020arcov19,
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title={ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks},
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author={Fatima Haouari and Maram Hasanain and Reem Suwaileh and Tamer Elsayed},
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year={2021},
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eprint={2004.05861},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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### Contributions
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