How Do Arab Tweeters Perceive the COVID-19 Pandemic?

Abstract

Language reflects several cognitive variables that are grounded in cognitive linguistics, psycholinguistics and sociolinguistics. This paper examines how Arab populations reacted to the COVID-19 pandemic on Twitter over twelve weeks since the outbreak. We conducted a lexicon-based thematic analysis using corpus tools, and LIWC and applied R language's stylo. The dominant themes that were closely related to coronavirus tweets included the outbreak of the pandemic, metaphysics responses, signs and symptoms in confirmed cases, and conspiracism. The psycholinguistic analysis also showed that tweeters maintained high levels of affective talk, which was loaded with negative emotions and sadness. Also, LIWC's psychological categories of religion and health dominated the Arabic tweets discussing the pandemic situation. In addition, the contaminated counties that captured most of the attention of Arabic tweeters were China, the USA, Italy, Germany, India, and Japan. At the same time, China and the USA were instrumental in evoking conspiracist ideation about spreading COVID-19 to the world.

Keywords: COVID-19; LIWC; Pandemic; Psycholinguistics; R language.

Fig. 1

Word cloud demonstrating the most frequently mentioned countries and cities

Fig. 2

Similarity between the posted tweets, at a one-week interval, over 12 weeks