A one-year follow-up study of changes in social media addiction and career networking among college students with disabilities

Navigating the Web of Influence: A Bibliometric Analysis of Social Media Addiction

Social media addiction is a behavioral dependency characterized by excessive and compulsive use of social media platforms, leading to negative impacts on various aspects of an individual's life. Bibliometric analysis is a research method used to quantitatively analyze academic literature, such as articles, books, and conference papers. It involves the application of statistical and mathematical tools to study the patterns and trends in scientific publications. This bibliometric study provides a comprehensive analysis of the literature on social media addiction, revealing patterns and dynamics within the field. Utilizing Web of Science for bibliographic data, the study employs advanced bibliometric tools like Biblioshiny and CiteSpace to map the scientific landscape. Annual scientific production, top contributing authors, key sources, trending topics, and thematic maps were identified using Biblioshiny. Additionally, network visualizations, such as co-citation networks of authors, time zone network visualizations of keyword co-occurrence, and timeline network visualizations of country collaborations, were created using CiteSpace. Our findings present an increasing trend in publications over the years, highlighting a growing recognition of social media addiction's significance. We detail the most relevant authors and sources, pinpointing key contributors and influential journals that shape the discourse. Trend topics analysis uncovers the prevalent themes, with "internet addiction" and "adolescents" at the forefront, reflecting the field's concentration on the younger population. The thematic map categorizes the research into motor themes (driving research areas), basic themes (fundamental and well-established areas), and niche themes (specialized and emerging topics), providing insight into the central and evolving topics. The study also delves into the co-occurrence of all keywords and the co-citation of authors, illustrating the interconnected nature of the research community. A timeline network visualization of country collaborations underscores the global scope of research efforts. Importantly, the study identifies critical research gaps such as underexplored demographics and emerging digital concerns and discusses practical implications, including the need for targeted intervention programs and informed policy-making. Collectively, this study charts the trajectory of social media addiction research and lays a foundation for future explorations to address identified lacunae.

Neuroticism and Adolescent Problematic Mobile Social Media Use: A Moderated Mediation Model

Although previous studies have confirmed the influence of neuroticism on problematic mobile social media use, mechanisms underlying this relation have not been well-understood. The present study investigated the mediating effect of self-control, as well as the moderating role of family socioeconomic status (FSES). A total of 1146 adolescents' data (Mage = 16.11, SDage = 0.97, 498 boys) were collected. Participants completed questionnaires about neuroticism, self-control, problematic mobile social media use, and FSES. The moderated mediation analysis showed that self-control mediated the positive association between neuroticism and problematic mobile social media use. In addition, FSES moderated the negative relation between self-control and problematic mobile social media use. Specifically, compared with adolescents in low FSES, the association between self-control and problematic mobile social media use was stronger for adolescents in high FSES. This study advanced our understanding of the development of problematic mobile social media use by revealing the potential mechanism between adolescent neuroticism and problematic mobile social media use.

Measurement Invariance of the Bergen Social Media Addiction Scale Across Genders

Social media addiction has been a hot issue in scientific research in recent years, its antecedents and consequences have been extensively studied. Among these studies, Bergen Social Media Addiction Scale (BSMAS) is one of the most commonly used instruments. However, little is known about whether this scale has the equivalent psychometric properties for men and women. The purpose of the current study is to examine the measurement invariance (including configural invariance, metric invariance, scalar invariance, and error variance invariance) of the BSMAS across genders. In total, 1,120 participants were recruited from 5 universities. R program was applied to conduct the single-group and multiple-group confirmatory factor analysis (CFA) based on the social media addiction symptom ratings. The results demonstrated that BSMAS was a valid and psychometrically robust instrument for assessing the risk of social media addiction among university students, and that the four types of measurement invariance of the BSMAS across genders were confirmed. Consequently, gender differences in the BSMAS scores are likely to reflect the genuine differences between men and women, and comparisons on the level of social media addiction of university students between gender groups can be interpreted meaningfully.