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Algorithmic Beauty: The New Beauty Standard

Authors: Alisen, Huang; Sabrina, Fabi;

Algorithmic Beauty: The New Beauty Standard

Abstract

Algorithms on various social media platforms feed users what it considers "beautiful", impacting the aesthetic desires of patients as well as beauty ideals.To discuss how algorithms on social media platforms personalize feeds and influence a patient's preference for procedures.YouTube, Instagram, and TikTok's websites were searched for how their algorithms function. A narrative review of the literature pertaining to social media and cosmetic procedures was also conducted using PubMed.Social media platforms personalize feeds for their users. Identifying exactly what a patient is exposed to on social media and how that influences their preference for cosmetic procedures presents a challenge at various levels. Social media usage appears to at least influence cosmetic procedure consideration. The desired appearance may be impacted by location, repeated exposure, and familiarity.While impossible to predict the next beauty trend, it is important to understand how algorithms and artificial intelligence may play an increasing role in a patient’s visual diet and how their aesthetic goals are thereby affected. Using social media platforms and understanding market trends can guide dermatologists to provide evidence-based education, dispel misinformation, and anchor patients in reality while understanding the cosmetic procedures that patients seek. J Drugs Dermatol. 2024;23(9):742-746. doi:10.36849/JDD.8074.

Keywords

Beauty, Esthetics, Artificial Intelligence, Humans, Patient Preference, Cosmetic Techniques, Social Media, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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