Work

Coronavirus: Public Arabic Twitter Dataset

Year: 2020

Type: preprint

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.

Source: Preprints.org

DOI: 10.20944/preprints202004.0263.v1

Author: Aseel Addawood

Institutions: University of Illinois Urbana-Champaign, Imam Mohammad ibn Saud Islamic University

Language: English

Topic: Communication and COVID-19 Impact

Subfield: Communication

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W3016902005

Cites: 1

Cited by: 10

Related to: 10