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Self-disclosure, social support and postpartum depressive mood in online social networks: a social penetration theory perspective

Xueqin Lei (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, China)
Hong Wu (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China)
Zhaohua Deng (School of Management, Huazhong University of Science and Technology, Wuhan, China)
Qing Ye (Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China)

Information Technology & People

ISSN: 0959-3845

Article publication date: 22 March 2022

Issue publication date: 13 January 2023

2897

Abstract

Purpose

The purpose of this research is to investigate how postpartum mothers conduct self-disclosure on social media may obtain social support and therefore improve their depressive mood.

Design/methodology/approach

The authors extract variables of self-disclosure by manual coding postpartum mothers' 835 posts from a parenting social media in China. The ordinary least squares model and the binary logistic regression model are used to test the proposed hypotheses.

Findings

The study suggests that both mothers' superficial level disclosure and personal level disclosure positively affect online social support received, and the effect of personal level disclosure on social support is much greater than that of superficial level disclosure. Online social support received is related to the content of the post and reduces mothers' depressive mood. The authors further find that the association between personal level disclosure and depressive mood is fully mediated by social support.

Research limitations/implications

The data are collected from a parenting social network. Although it is the major parenting social media with the most users in China, the generalizability of this model and the findings to other social media need additional research.

Practical implications

This study offers implications for researchers and practitioners with regard to social media uses and impacts, which also has important implications for policy and interventions for the mental health of mothers.

Originality/value

This paper makes theoretical contributions to the literature of social penetration theory and social support by (1) dividing self-disclosure into superficial level disclosure and personal level disclosure according to the intimacy of self-disclosure; (2) empirically investigating the direct effect of online self-disclosure on social support and the mediating effect of social support between online self-disclosure and mothers' depressive mood.

Keywords

Acknowledgements

This study was supported by the National Natural Science Foundation of China [award no. 72001087], and the Fundamental Research Funds for the Central Universities [HUST: 2021WKYXQN020].

Citation

Lei, X., Wu, H., Deng, Z. and Ye, Q. (2023), "Self-disclosure, social support and postpartum depressive mood in online social networks: a social penetration theory perspective", Information Technology & People, Vol. 36 No. 1, pp. 433-453. https://doi.org/10.1108/ITP-12-2020-0825

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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