The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach

Public health emergencies often prompt individuals to use a variety of communication channels for various needs. The COVID-19 pandemic imposed an extreme case of lockdown in China and limited many Chinese's activities to what they could do in their homes. Understanding the public's motivat...

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Autor principal:	Xiao Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Social media Mainstream media Information-seeking Emotion management COVID-19 Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
Acceso en línea:	https://doaj.org/article/f6f2158b192942b88d34e9ed891399f9
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spelling	oai:doaj.org-article:f6f2158b192942b88d34e9ed891399f92021-12-01T05:04:07ZThe motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach2451-958810.1016/j.chbr.2021.100098https://doaj.org/article/f6f2158b192942b88d34e9ed891399f92021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2451958821000464https://doaj.org/toc/2451-9588Public health emergencies often prompt individuals to use a variety of communication channels for various needs. The COVID-19 pandemic imposed an extreme case of lockdown in China and limited many Chinese's activities to what they could do in their homes. Understanding the public's motivations to use both mainstream media and alternative media (e.g., social media) can help better serve the public during a public health emergency. Based on an online survey of 528 participants, conducted in China in April 2020, the present investigation revealed that the participants had stronger information-seeking and surveillance motivations to use mainstream media than alternative media. There were small, nonsignificant differences between other motivations to use mainstream media and social media (i.e., emotion management, expressive motivation, and social interaction/community motivation). Participants had stronger credibility-based attitudes toward mainstream media than toward alternative media. Among these motivations, the information-seeking motivations to use mainstream media and alternative media were the strongest predictor of their respective attitudes toward mainstream media and alternative media. Further results show that both types of media use can be predicted by other motivations (e.g., social interaction and emotion management), instead of their attitudes toward the media, and can be mindless and habitual.Xiao WangElsevierarticleSocial mediaMainstream mediaInformation-seekingEmotion managementCOVID-19Electronic computers. Computer scienceQA75.5-76.95PsychologyBF1-990ENComputers in Human Behavior Reports, Vol 4, Iss , Pp 100098- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Social media Mainstream media Information-seeking Emotion management COVID-19 Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
spellingShingle	Social media Mainstream media Information-seeking Emotion management COVID-19 Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990 Xiao Wang The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach
description	Public health emergencies often prompt individuals to use a variety of communication channels for various needs. The COVID-19 pandemic imposed an extreme case of lockdown in China and limited many Chinese's activities to what they could do in their homes. Understanding the public's motivations to use both mainstream media and alternative media (e.g., social media) can help better serve the public during a public health emergency. Based on an online survey of 528 participants, conducted in China in April 2020, the present investigation revealed that the participants had stronger information-seeking and surveillance motivations to use mainstream media than alternative media. There were small, nonsignificant differences between other motivations to use mainstream media and social media (i.e., emotion management, expressive motivation, and social interaction/community motivation). Participants had stronger credibility-based attitudes toward mainstream media than toward alternative media. Among these motivations, the information-seeking motivations to use mainstream media and alternative media were the strongest predictor of their respective attitudes toward mainstream media and alternative media. Further results show that both types of media use can be predicted by other motivations (e.g., social interaction and emotion management), instead of their attitudes toward the media, and can be mindless and habitual.
format	article
author	Xiao Wang
author_facet	Xiao Wang
author_sort	Xiao Wang
title	The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach
title_short	The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach
title_full	The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach
title_fullStr	The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach
title_full_unstemmed	The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach
title_sort	motivations and uses of mainstream and social media during the covid-19 pandemic in china: a structural equation modeling approach
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f6f2158b192942b88d34e9ed891399f9
work_keys_str_mv	AT xiaowang themotivationsandusesofmainstreamandsocialmediaduringthecovid19pandemicinchinaastructuralequationmodelingapproach AT xiaowang motivationsandusesofmainstreamandsocialmediaduringthecovid19pandemicinchinaastructuralequationmodelingapproach
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The motivations and uses of mainstream and social media during the COVID-19 pandemic in China: A structural equation modeling approach

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