Publication Search

This study aims to explore the trends in the development of scientific publications on beauty privilege, focusing on the growth in the number of articles, citation trends, as well as keyword mapping and the dominant themes emerging in the literature. The method used is a literature review with a descriptive bibliometric approach, referring to the PRISMA model which includes four stages: identification, screening, eligibility, and inclusion. Data were collected from Google Scholar using the Publish or Perish (PoP) software, with the keyword “beauty privilege.” The analysis results show that the number of publications has increased significantly since 2021, peaking in 2023 and 2024. In terms of citations, 2023 is the most influential year, having the highest number of citations. Keyword analysis using VOSviewer generated seven topic clusters, with dominant keywords such as beauty privilege, body shaming, and social media. The conclusion of this study indicates that the topic of beauty privilege is becoming increasingly relevant and evolving, opening opportunities for further research from various social, cultural, and psychological perspectives.

Social support is defined as an individual’s perception of the availability and presence of assistance derived from three primary sources, namely family, friends, and individuals considered significant others. This concept emphasizes the subjective evaluation of the quantity and quality of support perceived by individuals, rather than the actual support provided. This study aims to examine the construct validity of the Multidimensional Scale of Perceived Social Support (MSPSS) developed by Zimet et al. (1988), which has been adapted into the Indonesian language. The MSPSS instrument is designed to measure the extent to which individuals perceive social support received from family, friends, and significant others in their lives. Research participants were selected using a purposive sampling technique, with inclusion criteria consisting of active university students aged between 18 and 27 years. A total of 279 students participated in this study. The research employed a quantitative approach, with data collected through an online questionnaire administered via Google Forms and distributed through various social media platforms. Data analysis was conducted using Confirmatory Factor Analysis (CFA) with the assistance of Jamovi software.