The mediating effect of social network identity management on the relationship between personality traits and social media addiction among pre-service teachers.

Big five Personality traits Pre-service teachers Social media addiction Social network identity management

Journal

BMC psychology
ISSN: 2050-7283
Titre abrégé: BMC Psychol
Pays: England
ID NLM: 101627676

Informations de publication

Date de publication:
14 Mar 2024
Historique:
received: 16 12 2023
accepted: 08 03 2024
medline: 18 3 2024
pubmed: 15 3 2024
entrez: 15 3 2024
Statut: epublish

Résumé

The use of social media has become an important part individuals' daily lives and is used in many daily life activities, such as social interaction, education, and shopping. However, with the increase in the use of social media, a minority of individuals can experience problematic use (and in extreme cases, 'social media addiction'). The purpose of the present study was to examine the effect of personality traits on social media addiction and the mediating role of social network identity management in this relationship among preservice teachers. The data were collected from 275 pre-service teachers at a university in Türkiye. The survey included the Big Five Inventory-10 (BFI-10), the Social Network Identity Management Scale, the Bergen Social Media Addiction Scale, and a personal information form. The findings of the study indicated that there was a relationship between personality traits, social network identity management, and social media addiction. Specifically, neuroticism was positively associated with social media addiction, whereas extraversion, agreeableness and conscientiousness were negatively associated. The results also indicated that social network identity management mediated the effect of personality traits on social media addiction. Given that the present investigation was only a preliminary study, further research is needed to examine whether social network identity management is an important determinant in understanding the relationship between personality traits and social media addiction.

Sections du résumé

BACKGROUND BACKGROUND
The use of social media has become an important part individuals' daily lives and is used in many daily life activities, such as social interaction, education, and shopping. However, with the increase in the use of social media, a minority of individuals can experience problematic use (and in extreme cases, 'social media addiction'). The purpose of the present study was to examine the effect of personality traits on social media addiction and the mediating role of social network identity management in this relationship among preservice teachers.
METHODS METHODS
The data were collected from 275 pre-service teachers at a university in Türkiye. The survey included the Big Five Inventory-10 (BFI-10), the Social Network Identity Management Scale, the Bergen Social Media Addiction Scale, and a personal information form.
RESULTS RESULTS
The findings of the study indicated that there was a relationship between personality traits, social network identity management, and social media addiction. Specifically, neuroticism was positively associated with social media addiction, whereas extraversion, agreeableness and conscientiousness were negatively associated. The results also indicated that social network identity management mediated the effect of personality traits on social media addiction.
CONCLUSION CONCLUSIONS
Given that the present investigation was only a preliminary study, further research is needed to examine whether social network identity management is an important determinant in understanding the relationship between personality traits and social media addiction.

Identifiants

pubmed: 38486341
doi: 10.1186/s40359-024-01653-5
pii: 10.1186/s40359-024-01653-5
pmc: PMC10938688
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

146

Informations de copyright

© 2024. The Author(s).

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Auteurs

Onur Isbulan (O)

Faculty of Education, Computer Education and Instructional Technologies Department, Sakarya University, Sakarya, Turkey. oisbulan@sakarya.edu.tr.

Emre Cam (E)

Computer Technologies Department, Tokat Gaziosmanpasa University, Tokat, Turkey.

Mark D Griffiths (MD)

Psychology Department, Nottingham Trent University, Nottingham, UK.

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Classifications MeSH