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      Instagram Use, Loneliness, and Social Comparison Orientation: Interact and Browse on Social Media, But Don't Compare

      1
      Cyberpsychology, Behavior, and Social Networking
      Mary Ann Liebert Inc

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          Abstract

          Ever since the emergence of social networking sites (SNSs), it has remained a question without a conclusive answer whether SNSs make people more or less lonely. To achieve a better understanding, researchers need to move beyond studying overall SNS usage. In addition, it is necessary to attend to personal attributes as potential moderators. Given that SNSs provide rich opportunities for social comparison, one highly relevant personality trait would be social comparison orientation (SCO), and yet this personal attribute has been understudied in social media research. Drawing on literature of psychosocial implications of social media use and SCO, this study explored associations between loneliness and various Instagram activities and the role of SCO in this context. A total of 208 undergraduate students attending a U.S. mid-southern university completed a self-report survey (Mage = 19.43, SD = 1.35; 78 percent female; 57 percent White). Findings showed that Instagram interaction and Instagram browsing were both related to lower loneliness, whereas Instagram broadcasting was associated with higher loneliness. SCO moderated the relationship between Instagram use and loneliness such that Instagram interaction was related to lower loneliness only for low SCO users. The results revealed implications for healthy SNS use and the importance of including personality traits and specific SNS use patterns to disentangle the role of SNS use in psychological well-being.

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          Most cited references28

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          A Theory of Social Comparison Processes

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            UCLA Loneliness Scale (Version 3): reliability, validity, and factor structure.

            D. Russell (1996)
            In this article I evaluated the psychometric properties of the UCLA Loneliness Scale (Version 3). Using data from prior studies of college students, nurses, teachers, and the elderly, analyses of the reliability, validity, and factor structure of this new version of the UCLA Loneliness Scale were conducted. Results indicated that the measure was highly reliable, both in terms of internal consistency (coefficient alpha ranging from .89 to .94) and test-retest reliability over a 1-year period (r = .73). Convergent validity for the scale was indicated by significant correlations with other measures of loneliness. Construct validity was supported by significant relations with measures of the adequacy of the individual's interpersonal relationships, and by correlations between loneliness and measures of health and well-being. Confirmatory factor analyses indicated that a model incorporating a global bipolar loneliness factor along with two method factor reflecting direction of item wording provided a very good fit to the data across samples. Implications of these results for future measurement research on loneliness are discussed.
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              Theory and research concerning social comparisons of personal attributes.

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                Author and article information

                Journal
                Cyberpsychology, Behavior, and Social Networking
                Cyberpsychology, Behavior, and Social Networking
                Mary Ann Liebert Inc
                2152-2715
                2152-2723
                December 2016
                December 2016
                : 19
                : 12
                : 703-708
                Affiliations
                [1 ]Department of Counseling, Educational Psychology and Research, University of Memphis, Memphis, Tennessee.
                Article
                10.1089/cyber.2016.0201
                27855266
                071ae51b-fe4d-4bb8-b4e9-48f7f9a5f0d5
                © 2016

                http://www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/

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