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The Brief Social Media Fatigue Scale (BSMFS): A New Short Version Through Exploratory Structural Equation Modeling and Associations with Trait Anxiety, Fear of Missing Out, Boredom Proneness, and Problematic Use.

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Title: The Brief Social Media Fatigue Scale (BSMFS): A New Short Version Through Exploratory Structural Equation Modeling and Associations with Trait Anxiety, Fear of Missing Out, Boredom Proneness, and Problematic Use.
Authors: Faraci, Palmira (AUTHOR), Nasonte, Giuliana (AUTHOR)
Source: International Journal of Human-Computer Interaction. Aug2025, Vol. 41 Issue 16, p10096-10122. 27p.
Subjects: Structural equation modeling, Exploratory factor analysis, Psychometrics, Social anxiety, Compulsive behavior, State-Trait Anxiety Inventory, Boredom, Internet addiction
Abstract: This study examines the psychological impact of social media use through the psychometric validation of the Social Media Fatigue Scale (SMFS). Using a sample of 329 Italian social media users, the dimensionality of the scale was assessed using Exploratory Factor Analysis, subsequently corroborated by comparing Confirmatory Factor Analysis and Exploratory Structural Equation Modeling (ESEM). The refined brief scale comprised three factors within the ESEM framework (RMSEA =.046, p =.54; CFI =.984; TLI =.967, and SRMR =.033) and showed good reliability (ω F 1 =. 75; ω F 2 =. 89; ω F 3 =. 73). The research further explores the associations between social media fatigue (SMF) and trait anxiety through path analyses, examining the mediating role of the fear of missing out (FoMO) and the influence of boredom proneness on SMF, with problematic social media use serving as a moderator. The results, supporting the hypothesized roles of FoMO and problematic social media use, are discussed in relation to the relevant literature. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The Brief Social Media Fatigue Scale (BSMFS): A New Short Version Through Exploratory Structural Equation Modeling and Associations with Trait Anxiety, Fear of Missing Out, Boredom Proneness, and Problematic Use.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Aug2025, Vol. 41 Issue 16, p10096-10122. 27p.
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  Data: <searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Exploratory+factor+analysis%22">Exploratory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Social+anxiety%22">Social anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Compulsive+behavior%22">Compulsive behavior</searchLink><br /><searchLink fieldCode="DE" term="%22State-Trait+Anxiety+Inventory%22">State-Trait Anxiety Inventory</searchLink><br /><searchLink fieldCode="DE" term="%22Boredom%22">Boredom</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+addiction%22">Internet addiction</searchLink>
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  Data: This study examines the psychological impact of social media use through the psychometric validation of the Social Media Fatigue Scale (SMFS). Using a sample of 329 Italian social media users, the dimensionality of the scale was assessed using Exploratory Factor Analysis, subsequently corroborated by comparing Confirmatory Factor Analysis and Exploratory Structural Equation Modeling (ESEM). The refined brief scale comprised three factors within the ESEM framework (RMSEA =.046, p =.54; CFI =.984; TLI =.967, and SRMR =.033) and showed good reliability (ω F 1 =. 75; ω F 2 =. 89; ω F 3 =. 73). The research further explores the associations between social media fatigue (SMF) and trait anxiety through path analyses, examining the mediating role of the fear of missing out (FoMO) and the influence of boredom proneness on SMF, with problematic social media use serving as a moderator. The results, supporting the hypothesized roles of FoMO and problematic social media use, are discussed in relation to the relevant literature. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/10447318.2024.2430921
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Exploratory factor analysis
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      – SubjectFull: Psychometrics
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      – SubjectFull: Social anxiety
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      – SubjectFull: Compulsive behavior
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      – SubjectFull: State-Trait Anxiety Inventory
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      – SubjectFull: Boredom
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      – SubjectFull: Internet addiction
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              Text: Aug2025
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