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      Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data

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          Abstract

          Previous studies mainly focused on individual-level factors that influence the adoption and usage of mobile technology and social networking sites, with little emphasis paid to the influences of household situations. Using multilevel modelling approach, this study merges household- ( n 1 = 1,455) and individual-level ( n 2 = 2,570) data in the U.K. context to investigate (a) whether a household economic capital (HEC) can affect its members’ Twitter adoption, (b) whether the influences are mediated by the member’s activity variety and self-reported efficacy with mobile technology, and (c) whether the members’ traits, including educational level, gross income and residential area, moderate the relationship between HEC and Twitter adoption. Significant direct and indirect associations were discovered between HEC and its members’ Twitter adoption. The educational level and gross income of household members moderated the influence of HEC on individuals’ Twitter adoption.

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          Most cited references50

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          The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

          In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
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            Why people use social networking sites: An empirical study integrating network externalities and motivation theory

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              The digital divide shifts to differences in usage

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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: Supervision
                Role: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: Methodology
                Role: Funding acquisition
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 January 2024
                2024
                : 19
                : 1
                : e0297036
                Affiliations
                [1 ] School of Social Sciences, Cardiff University, Cardiff, The United Kingdom
                [2 ] Institute of Social and Economic Research, University of Essex, Colchester, The United Kingdom
                [3 ] National Centre for Social Research, London, The United Kingdom
                Federal University of Goias: Universidade Federal de Goias, BRAZIL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-9374-7036
                https://orcid.org/0000-0002-9458-9332
                Article
                PONE-D-23-26940
                10.1371/journal.pone.0297036
                10810547
                38271381
                86ea1663-2cd1-420b-a8dc-05b11fa6b3f2
                © 2024 Liu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 August 2023
                : 27 December 2023
                Page count
                Figures: 3, Tables: 3, Pages: 15
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/S015175/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/T002611/1
                Award Recipient :
                This article was funded by: ESRC project 'Understanding [Online/Offline] Society: Linking Surveys with Twitter Data' (ES/S015175/1)' ESRC project 'Understanding Society: The UK Household Longitudinal Survey Waves 13-15' (ES/T002611/1)'.
                Categories
                Research Article
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Twitter
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Twitter
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Twitter
                Social Sciences
                Economics
                Microeconomics
                Household Economics
                Social Sciences
                Sociology
                Education
                Educational Attainment
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Social Sciences
                Economics
                Engineering and Technology
                Equipment
                Communication Equipment
                Cell Phones
                Social Sciences
                Sociology
                Communications
                Social Communication
                Biology and Life Sciences
                Psychology
                Psychological Attitudes
                Social Sciences
                Psychology
                Psychological Attitudes
                Custom metadata
                To access the dataset available at [UK Data Service]( https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6849#!/access-data), individuals associated with a UK college or university can simply use their respective college or university login credentials. For those not affiliated with a UK educational institution, it is necessary to request a username from the UK Data Service and then use these credentials to sign in and access the dataset.

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