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Social media users’ online subjective well-being and fatigue: A network heterogeneity perspective

Tandon Anushree; Dhir Amandeep; Kaur Puneet; Islam Nazrul

dc.contributor.authorTandon Anushree
dc.contributor.authorDhir Amandeep
dc.contributor.authorKaur Puneet
dc.contributor.authorIslam Nazrul
dc.date.accessioned2022-10-28T12:41:49Z
dc.date.available2022-10-28T12:41:49Z
dc.identifier.urihttps://www.utupub.fi/handle/10024/161394
dc.description.abstract<p> Scholars 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 <em>Prolific Academic</em> (<em>N</em> = 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. <br></p>
dc.language.isoen
dc.publisherElsevier
dc.titleSocial media users’ online subjective well-being and fatigue: A network heterogeneity perspective
dc.identifier.urnURN:NBN:fi-fe2021102752621
dc.relation.volume172
dc.contributor.organizationfi=tietojärjestelmätiede|en=Information Systems Science |
dc.contributor.organization-code2608303
dc.converis.publication-id66531559
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/66531559
dc.identifier.jour-issn0040-1625
dc.okm.affiliatedauthorLuukela-Tandon, Anushree
dc.okm.discipline3142 Public health care science, environmental and occupational healthen_GB
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline3142 Kansanterveystiede, ympäristö ja työterveysfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeJournal article
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1016/j.techfore.2021.121039
dc.relation.ispartofjournalTechnological Forecasting and Social Change
dc.year.issued2021


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