• Corpus ID: 215744908

ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks

@article{Haouari2020ArCOV19TF,
  title={ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks},
  author={Fatima Haouari and Maram Hasanain and Reem Suwaileh and T. Elsayed},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.05861}
}
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… 
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The dataset covers, in addition to health, claims related to other topical categories that were influenced by COVID-19, namely, social, politics, sports, entertainment, and religious, and experiments with SOTA models of versatile approaches that either exploit content, user profiles features, temporal features and propagation structure of the conversational threads for tweet verification.

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