The Effect of Self-Discrepancy on Online Behavior: A Literature Review

Online Self-Presentation, Self-Concept Clarity, and Depressive Symptoms: A Within-Person Examination

Although social media provides a crucial platform for self-development in emerging adulthood, the link between online self-presentation and mental health outcomes remains unclear. Thus, the associations among real self, ideal self, different types of false self-presentations, and depressive symptoms were examined over time (T1-T3) in the present study, along with the mediating role of self-concept clarity. Participants (N = 1,217, Mage = 18.14, 71% female-identifying) completed a survey three times over one year. Random-intercept cross-lagged panel modelling indicated that individuals presenting themselves authentically tended to demonstrate stronger self-concept clarity and fewer depressive symptoms. Those engaging in false-deceptive, compare/impress, and ideal self-presentation tended to have weaker self-concept clarity and more depressive symptoms. A within-person bidirectional association was found between false-deceptive self-presentation and depressive symptoms. Within-person increases in false-explore self-presentation predicted increases in depressive symptoms, whereas increases in compare/impress self-presentation predicted decreases in depressive symptoms. Self-concept clarity was not a significant mediator. The findings suggest that promoting authentic online self-presentation may support self-concept clarity and reduce risk of mental health challenges in emerging adults. However, engaging in false-deceptive online self-presentation (both greater than typical levels and compared to others) may increase risk of mental health challenges, and vice versa.

Measuring users' psychological self-withdrawal on mobile social media: the development of a context dependent instrument

Introduction

MSM users have many concerns when disclosing information, such as role conflicts and privacy risks, which can result in nondisclosure. We call these negative feelings associated with MSM use "psychological self-withdrawal" (PSW).

Methods

Using a mixed-methods design, this study develops and validates an instrument for measuring PSW in the WeChat context, based on focus-group interviews (seven participants), one-on-one interviews (eight participants), and a survey of 1200 WeChat users.

Results

The result shows that PSW measure is a four-item instrument designed to measure PSW in the WeChat context. The results of two exploratory factor analysis pilot tests (n = 91 and n = 81) and a final confirmatory factor analysis test (n = 1200) indicate that the PSW measure has good internal consistency (α = 0.839), factorial validity, and a single-factor structure.

Discussion

The study defines PSW as "users' series of negative feelings when using WeChat" and develops and validates an PSW measurement, using focus groups, interviews, and a survey. A four-item PSW with acceptable reliability and validity was finally developed.