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      Active Instagram Use and Its Association With Self-Esteem and Well-Being

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          Abstract

          Over the last two decades, social media has become an integral facet of modern society. Image-based social networking sites such as Instagram have become increasingly popular among adolescents and young adults. However, to date, there is a preponderance of conflicting research regarding the impact of social media use, particularly of image-based platforms, on subsequent user outcomes. Utilizing a snowball sample of 359 college-aged individuals from throughout the United States, the present study sought to analyze the relationship between active social media use and its association with user self-esteem and well-being through data obtained through survey research from undergraduate college students. It was hypothesized that active Instagram use would be positively associated with user well-being and self-esteem. Not only was this hypothesis supported, but our findings reveal that intensity of Instagram use serves as a mediating variable in the relationship between active Instagram use and well-being and self-esteem. Specifically, respondents who identified as more active Instagram users used social media more intensely, and those who used social media more intensely had higher self-esteem. Similarly, those who used social media more intensely reported higher levels of well-being. While the correlations among these variables may be slight, we argue that they pose implications regarding how usage patterns impact user outcomes. These findings illustrate the role of intensity of Instagram usage on user outcomes and reveal a relationship among these variables, where more active Instagram use, coupled with more intense usage, ultimately corresponds to positive effects—specifically elevated levels of self-esteem and well-being.

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          Most cited references20

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          The Satisfaction With Life Scale.

          This article reports the development and validation of a scale to measure global life satisfaction, the Satisfaction With Life Scale (SWLS). Among the various components of subjective well-being, the SWLS is narrowly focused to assess global life satisfaction and does not tap related constructs such as positive affect or loneliness. The SWLS is shown to have favorable psychometric properties, including high internal consistency and high temporal reliability. Scores on the SWLS correlate moderately to highly with other measures of subjective well-being, and correlate predictably with specific personality characteristics. It is noted that the SWLS is Suited for use with different age groups, and other potential uses of the scale are discussed.
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            The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites

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              The association between adolescent well-being and digital technology use

              The widespread use of digital technologies by young people has spurred speculation that their regular use negatively impacts psychological well-being. Current empirical evidence supporting this idea is largely based on secondary analyses of large-scale social datasets. Though these datasets provide a valuable resource for highly powered investigations, their many variables and observations are often explored with an analytical flexibility that marks small effects as statistically significant, thereby leading to potential false positives and conflicting results. Here we address these methodological challenges by applying specification curve analysis (SCA) across three large-scale social datasets (total n = 355,358) to rigorously examine correlational evidence for the effects of digital technology on adolescents. The association we find between digital technology use and adolescent well-being is negative but small, explaining at most 0.4% of the variation in well-being. Taking the broader context of the data into account suggests that these effects are too small to warrant policy change.
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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                2021
                : 2
                : 2
                Affiliations
                [1]Division of Emerging Media Studies, Boston University
                Author notes
                Action Editor: Danielle S. McNamara was the action editor for this article.
                Conflict of Interest: The authors declare that this research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
                Data Availability Statement: The raw data (“Open Data”) are available through OpenBU and can be accessed through the following link: https://hdl.handle.net/2144/42224. The scales and measures used during data collection are available in the Supplemental Materials section (“Open Materials”).
                Disclaimer: Interactive content is included in the online version of this article.
                [*] Briana M. Trifiro, Division of Emerging Media Studies, Boston University, 704 Commonwealth Avenue, Boston, MA 02215, United States btrifiro@bu.edu
                Author information
                https://orcid.org/0000-0003-1345-045X
                https://orcid.org/0000-0002-6972-1899
                Article
                2021-80640-001
                10.1037/tmb0000043
                4ef40cb0-7044-46b7-a52b-3d8a0a9795aa
                © 2021 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                self-esteem,usage patterns,Instagram,well-being,active use

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