Social Media-related Body Dissatisfaction, Beauty Ideal Internalization, and State Self-Objectification Cover Image
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Social Media-related Body Dissatisfaction, Beauty Ideal Internalization, and State Self-Objectification
Social Media-related Body Dissatisfaction, Beauty Ideal Internalization, and State Self-Objectification

Author(s): Susan Beckett
Subject(s): Gender Studies, Media studies, Health and medicine and law
Published by: Addleton Academic Publishers
Keywords: appearance-focused social media; body image concerns; negative psychological and behavioral well-being;

Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore algorithmic comparisons amplifying the link between social media usage and body dissatisfaction. In this research, previous findings were cumulated showing that constant exposure to idealized media content on social media affects beauty standard perceptions and positive body image, and I contribute to the literature by indicating that communication technologies impact individuals’ self-image and social interactions through online shared photos. Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “social media-related body dissatisfaction” + “beauty ideal internalization,” “state self-objectification,” and “negative psychological and behavioral well-being.” As research published between 2021 and 2022 was inspected, only 143 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 26 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

  • Issue Year: 12/2022
  • Issue No: 1
  • Page Range: 69-83
  • Page Count: 15
  • Language: English