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dc.contributor.authorKaur, Puneet
dc.contributor.authorIslam, Nazrul
dc.contributor.authorTandon, Anushree
dc.contributor.authorDhir, Amandeep
dc.date.accessioned2021-08-19T13:17:43Z
dc.date.available2021-08-19T13:17:43Z
dc.date.created2021-08-11T12:55:15Z
dc.date.issued2021
dc.identifier.issn0040-1625
dc.identifier.urihttps://hdl.handle.net/11250/2770351
dc.description.abstractScholars have drawn increasing attention to the implications of the dark side of social media for users’ online subjective well-being (OSWB). We develop a research framework based on the limited-capacity model to examine the relationship between OSWB and social media fatigue. Moreover, we explore the associations between specific aspects related to network heterogeneity and social media fatigue for social media users in the United States of America (USA). Further, we examine the mediating effect of network heterogeneity on the association between OSWB and social media fatigue. We utilised a cross-sectional research design to collect data from Prolific Academic (N = 320) and analysed the data through structural equation modelling. The results indicate that OSWB is positively correlated with the network heterogeneity aspect of self-disclosure and negatively correlated with social comparison. OSWB, moreover, is negatively correlated with fatigue, while privacy concerns and self-disclosure are positively correlated with fatigue. Further, of the network heterogeneity aspects we considered, only social comparison is a partial mediator for the relationship between OSWB and social media fatigue. The findings provide insights into the pathways through which social media users’ OSWB and network heterogeneity can induce social media fatigue, raising critical implications for theory and practice.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleSocial media users’ online subjective well-being and fatigue: A network heterogeneity perspectiveen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 the authorsen_US
dc.source.articlenumber121039en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.techfore.2021.121039
dc.identifier.cristin1925309
dc.source.journalTechnological Forecasting and Social Changeen_US
dc.identifier.citationTechnological Forecasting and Social Change. 2021, 172, 121039.en_US
dc.source.volume172en_US


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