How Do Arab Tweeters Perceive the COVID-19 Pandemic?

Essam, Bacem A.; Abdo, Muhammad S

doi:10.1007/s10936-020-09715-6

Cited by 35 publications

(21 citation statements)

References 19 publications

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“…62 One thematic analysis study of 1 920 593 Arabic tweets in Egypt showed that negative emotions and sadness were high in tweets showing affective discussions, and the dominant themes included the outbreak of the pandemic, metaphysics responses, signs and symptoms in confirmed cases, and conspiracism. 64 In Singapore, Lwin and colleagues examined 20 325 929 tweets using sentiment analysis and showed that public emotions shifted over time: from fear to anger and from sadness to gratefulness. 77 Chang and colleagues examined over 1•07 million Chinese texts from various online sources in Taiwan using deductive analysis and identified that negative sentiments mainly came from online news with stigmatising language linked with the COVID-19 pandemic.…”

Section: Social Media For Surveillance and Monitoringmentioning

confidence: 99%

“…46 One thematic analysis study of 1,920,593 Arabic tweets in Egypt revealed that negative emotions and sadness were loaded in tweets showing affective discussions, and the dominant themes included "the outbreak of the pandemic," "metaphysics responses," "signs and symptoms in confirmed cases," and "conspiracism." 47 In Singapore, Lwin et al examined 20,325,929 tweets using sentiment analysis and showed the public emotions shifted over time:…”

Section: Public Sentimentmentioning

confidence: 99%

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What social media told us in the time of COVID-19: a scoping review

Tsao

Chen

Tisseverasinghe

et al. 2021

The Lancet Digital Health

654

382

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With the onset of the COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peerreviewed empirical studies relating to COVID-19 and social media during the first outbreak from November, 2019, to November, 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social media platforms and COVID-19. These themes focused on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID-19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos. Furthermore, our Review emphasises the paucity of studies on the application of machine learning on data from COVID-19-related social media and a scarcity of studies documenting real-time surveillance that was developed with data from social media on COVID-19. For COVID-19, social media can have a crucial role in disseminating health information and tackling infodemics and misinformation. e176 www.thelancet.com/digital-health Vol 3 March 2021 Review Methods OverviewStudies exploring the use of social media relating to COVID-19 were reviewed by use of the scoping review methods of Arksey and O'Malley 13 and Levac and colleagues. 14 We followed the five-step scoping review protocol and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. Data SourcesExploratory searches were done on COVID-19 Open Research Dataset Challenge and Google Scholar in April, 2020. These searches helped to define the Review scope, develop the research questions, and determine eligibility criteria. After such activity, MEDLINE and PubMed, Scopus, and PsycINFO were selected for this Review because they include peer-reviewed literature in the fields of medicine, behavioural sciences, psychology, health-care systems, and clinical sciences. Variations of the key search terms can be found in the panel. Since the start of the current pandemic, COVID-19 articles were reviewed and published at an unprecedently rapid rate, with numerous publications that were available ahead of print referred to as preprints or articles in press. In this Review, we consider peer-reviewed preprints to be equivalent to published peer-reviewed articles, and relevant articles were screened accordingly. Screening procedureMainly, the primary reviewer (S-FT) screened title and abstract for each article to decide whether an article met the inclusion criteria. If the criteria were confirmed, then the article was included; otherwise, it was excluded. Paragraphs in articles were assigned a code representing one of the five themes (eg, I for infodemic), then a code was assigned to the article on the basis of the majority of paragraph codes. Next, quotes were sorted under each code, applying Ose's method. 15 Braun and Clark's thematic analysis method was used and involved searchin...

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Section: Social Media For Surveillance and Monitoringmentioning

confidence: 99%

Section: Public Sentimentmentioning

confidence: 99%

What social media told us in the time of COVID-19: a scoping review

Tsao

Chen

Tisseverasinghe

et al. 2021

The Lancet Digital Health

654

382

View full text Add to dashboard Cite

show abstract

“…The international media actively reported the research results of national health organizations and the World Health Organization (WHO), such as the source, symptoms, mode of transmission, and harm of the virus. The perception about COVID-19 pandemic has also been globally tweeted (Essam & Abdo, 2020). Today, the outbreak has become a public health event, so the dynamic surroundings are relevant to everyone's safety.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Chinese and American Media Reports on the COVID-19 and Expressions of Social Responsibility: A Critical Discourse Analysis

Zhang

Akhtar

Farooq

et al. 2021

J Psycholinguist Res

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Critical discourse analysis aims to explore the dialectical relationship between discourse and ideology. Based on psycholinguistic research, this paper analyzes the Chinese and American media's news reports and comments on the COVID-19. It aims to expose the hidden psychological messages and ideologies behind the words. The corpus in this paper is mainly from the official media of China Daily and Time from December 2019 to January 2021 in China and the United States. This paper uses Wang Zhenhua's Appraisal Theory and Halliday's Systemic Functional Grammar as tools to make a comparative analysis of the corpus. At the textual level, languages are classified and lexical choices are analyzed followed by the analysis of the reporter's ideology after reviewing the motivation of the reporters of two countries. On the level of social responsibility expression and discourse, the paper analyzes the news reports, which are characterized by the combination of the reporter's views on the news. In the aspect of social practice, the social and cultural factors and background of news reports are analyzed. China calls for strengthening cooperation and exchanges with other countries to jointly fight the epidemic. The Chinese government has actively shared its experience and made corresponding contributions to international economic recovery. However, the US government shirks its responsibility by claiming that the effective implementation of Chinese methods and experience in China does not mean that it can achieve corresponding results in Europe and the US. At the same time, the United States provides medical supplies to other countries. This study hopes to help awaken readers' critical thinking and increase their awareness of the anti-control of mass discourse. At the same time, it is hoped that readers can view the epidemic from a more scientific perspective, understand the facts and reject the unwarranted panic. It will also help reshape Chinese and American discourse.

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“…Studies have found that there were significant differences in the discourse about the epidemic of different groups on social platforms. For instance, one study found that among the contents related to the COVID-19 posted by Arab twitters, topics related to religion and health were dominant and generally passive (Essam & Abdo, 2020), which was also the case in Malaysia that the majority of the online letters associated the COVID-19 with negative expressions (Joharry & Turiman, 2020). On the contrary, another similar study carried on African Americans found they held a positive attitude towards fighting against the epidemic (Odlum et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

A Corpus-Based Critical Discourse Analysis of News Reports on the COVID-19 Pandemic in China and the UK

Yu¹,

Lü²,

Hu³

2021

IJEL

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Media, as important windows for the public to get to know timely information, play a vital role in influencing citizens’ attitudes as well as behaviors. From 2019, the Coronavirus Disease 2019 (COVID-19) pandemic, a global health emergency, has aroused great concern of the international community, including media. Varied in cultural context, political stand, and people’s ideology, however, media in different countries reported the COVID-19 dissimilarly. According to Fairclough’s critical discourse analysis (CDA) model, it is posited that the discrepancies in the reports of the COVID-19 can reflect ideological differences and have explanatory power in the development of the COVID-19 in distinct countries. Based on this premise, by utilizing the database analysis software AntConc 3.2.4w on self-built corpora, this study analyzed the news reports of different stages on the COVID-19 in China and the UK, i.e., in China Daily and The Guardian, respectively, and attempted to reveal the discourse characteristics in the two media, together with the discussion on their possible relations to the pandemic-controlling practices. The corpus-based analysis showed that China Daily used more objective and neutral words in the descriptions of the COVID-19 and expressed more active attitudes in fighting against the epidemic, whereas The Guardian used more negative words in describing the pandemic and words with weak restricting force when reporting policies concerning the control and prevention of the COVID-19 pandemic. Moreover, the comparison between the discourse before and after the lockdown demonstrated that the descriptions of the COVID-19 in the UK media transformed into a more objective and neutral one than before with an increased use of expressions of restriction and social conflicts. The same comparison in the discourse of China Daily found that words about sharing experience and promoting cooperation augmented noticeably. The above-mentioned findings were also discussed together with these two countries’ domestic epidemic situations and ideological differences, respectively.

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How Do Arab Tweeters Perceive the COVID-19 Pandemic?

Cited by 35 publications

References 19 publications

What social media told us in the time of COVID-19: a scoping review

What social media told us in the time of COVID-19: a scoping review

Comparative Study of Chinese and American Media Reports on the COVID-19 and Expressions of Social Responsibility: A Critical Discourse Analysis

A Corpus-Based Critical Discourse Analysis of News Reports on the COVID-19 Pandemic in China and the UK

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