A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic

Wasim Ahmed · Josep Vidal‐Alaball · Francesc López Seguí · Pedro A. Moreno-Sánchez

60 citations0/0 files storedInternational Journal of Environmental Research and Public Health

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Communication and COVID-19 Impact Public Relations and Crisis Communication Social Media in Health Education

Abstract

BACKGROUND: High compliance in wearing a mask is a crucial factor for stopping the transmission of COVID-19. Since the beginning of the pandemic, social media has been a key communication channel for citizens. This study focused on analyzing content from Twitter related to masks during the COVID-19 pandemic. METHODS: = 4525) of tweets was analyzed using social network analysis. NodeXL (Social Media Research Foundation, California, CA, USA) was used to identify users ranked influential by betweenness centrality and was used to identify key hashtags and content. RESULTS: The overall shape of the network resembled a community network because there was a range of users conversing amongst each other in different clusters. It was found that a range of accounts were influential and/or mentioned within the network. These ranged from ordinary citizens, politicians, and popular culture figures. The most common theme and popular hashtags to emerge from the data encouraged the public to wear masks. CONCLUSION: Towards the end of June 2020, Twitter was utilized by the public to encourage others to wear masks and discussions around masks included a wide range of users.

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2020Mitigate the effects of home confinement on children during the COVID-19 outbreak 2020COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data 2018Social media analytics: analysis and visualisation of news diffusion using NodeXL

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