Literature DB >> 32857607

#Coronavirus: Monitoring the Belgian Twitter Discourse on the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic.

Sebastian Kurten1, Kathleen Beullens1.   

Abstract

In this study, a social media analysis is conducted to examine the public discourse about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on Twitter. In particular, this study aims to examine (a) how the number of tweets varies as a function of the timeline of the pandemic and associated measures and (b) how the content of these tweets, including displayed emotions, changes. Therefore, 373,908 tweets and retweets from Belgium were collected from February 25, 2020 to the March 30. Time series analysis, network bigrams, topic models, and emotional lexica were deployed for analysis. The results showed that significant events related to the virus correlated with an immediate increase in the number of tweets addressing them. Furthermore, the Belgian Twitter discourse was characterized by positively connoted words, which also refer to European solidarity. These findings do not only stress the relevance of Twitter as a medium for public discourse during lockdowns, but also seem to indicate that the Belgian public supports policy measures that respect solidarity in Europe.

Entities:  

Keywords:  Belgium; COVID-19; SARS-CoV-2; Twitter; pandemic

Year:  2020        PMID: 32857607     DOI: 10.1089/cyber.2020.0341

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  4 in total

Review 1.  What social media told us in the time of COVID-19: a scoping review.

Authors:  Shu-Feng Tsao; Helen Chen; Therese Tisseverasinghe; Yang Yang; Lianghua Li; Zahid A Butt
Journal:  Lancet Digit Health       Date:  2021-01-28

2.  Television, news media, social media and adolescents' and young adults' violations of the COVID-19 lockdown measures: A prototype willingness model.

Authors:  Ilse Vranken; Nausikaä Brimmel; Laura Vandenbosch; Jolien Trekels
Journal:  Telemat Inform       Date:  2022-04-13

3.  Three dimensions of COVID-19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis.

Authors:  Shan Qiao; Zhenlong Li; Chen Liang; Xiaoming Li; Caroline Rudisill
Journal:  Risk Anal       Date:  2022-07-13       Impact factor: 4.302

4.  Changes in Public Response Associated With Various COVID-19 Restrictions in Ontario, Canada: Observational Infoveillance Study Using Social Media Time Series Data.

Authors:  Antony Chum; Andrew Nielsen; Zachary Bellows; Eddie Farrell; Pierre-Nicolas Durette; Juan M Banda; Gerald Cupchik
Journal:  J Med Internet Res       Date:  2021-08-25       Impact factor: 5.428

  4 in total

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