Vaguebooking as a Mediator between the Relationship of Personality Characteristics and Mental Health among Social Media Users

Abstract

This study delves into the shadowy world of vaguebooking and its influence on mental well- being. It investigates how personality characteristics interact with this social media behavior to affect a user's mental health. The researchers employed a quantitative approach, utilizing cross-sectional study design to uncover the relationships between these factors. This study used a purposive sampling technique and included 320 participants. The sample size was determined using an a priori sample size calculator. Data were obtained directly from social media platforms. Participants filled out three self-report measures: vaguebooking (Berryman, 2019), ten-item personality tests (Gosling, Rentfrow, and Swann, 2003), and a mental health inventory (Veit & Ware, 1983). Personality traits, vaguebooking, and mental health are inextricably linked, as revealed by the analysis, which employed sophisticated statistical software. The investigation identified substantial correlations between personality traits, mental health outcomes, and vaguebooking behaviors among social media users. The significance of inherent characteristics in shaping online activities and psychological well-being was underscored by the strong association between personality traits and both vaguebooking and mental health. Research shows vaguebooking mediates personality traits and mental health. Vaguebooking is also linked to poorer mental health. Psychological health and vaguebooking personality traits were statistically better for women than men. These findings highlight the complex role of social media habits in mediating psychological effects, emphasizing the importance of taking gender dynamics into account and addressing online communication patterns in mental health treatments. They also emphasize the importance of researching cultural influences on vaguebooking behavior and developing strategies to mitigate the negative consequences. By encouraging healthier online interactions, we can foster a more positive and supportive social media community.