Online Visual Self-Presentation: Augmented Reality Face Filters, Selfie-Editing Behaviors, and Body Image Disorder
Online Visual Self-Presentation: Augmented Reality Face Filters, Selfie-Editing Behaviors, and Body Image Disorder

Summary/Abstract: The present study systematically reviews the existing research on socially acceptable appearance-enhancing products and beauty filters. My findings indicate that photo-sharing social networks, virtual space engagement, and selfie filtering apps articulate maladaptive internalization of unrealistic body images and unattainable appearance standards. I contribute to the literature by clarifying that augmented reality-based beauty apps can provide immersive experiences to social media users, articulating selfie-editing behaviors as regards biometric facial data. Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “online visual self-presentation” + “augmented reality face filters,” “selfie-editing behaviors,” and “body image disorder.” As research published between 2017 and 2022 was in- spected, only 145 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 22 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.

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