Preprint Dataset Version 1 Preserved in Portico This version is not peer-reviewed

Coronavirus: Public Arabic Twitter Dataset

Version 1 : Received: 14 April 2020 / Approved: 16 April 2020 / Online: 16 April 2020 (08:15:28 CEST)

How to cite: Addawood, A. Coronavirus: Public Arabic Twitter Dataset. Preprints 2020, 2020040263 (doi: 10.20944/preprints202004.0263.v1). Addawood, A. Coronavirus: Public Arabic Twitter Dataset. Preprints 2020, 2020040263 (doi: 10.20944/preprints202004.0263.v1).

Abstract

The COVID-19 pandemic spread of the coronavirus across the globe has affected our lives on many different levels. The world we knew before the spread of the virus has become another one. Every country has taken preventive measures, including social distancing, travel restrictions, and curfew, to control the spread of the disease. With these measures implemented, people have shifted to social media platforms in the online sphere, such as Twitter, to maintain connections. In this paper, we describe a coronavirus data set of Arabic tweets collected from January 1, 2020, primarily from hashtags populated from Saudi Arabia. This data set is available to the research community to glean a better understanding of the societal, economical, and political effects of the outbreak and to help policy makers make better decisions for fighting this epidemic.

Subject Areas

Twitter; Arabic; COVID-19

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.