Cultural evolution of beauty standards

L Louis Boucherie (Department of Applied Mathematics and Computer Science, Technical University of Denmark) S Sagar Kumar (Network Science Institute, Northeastern University) K Katharina Ledebur (Complexity Science Hub) A August Lohse (Center for Social Data Science, University of Copenhagen) K Karolina Śliwa (Department of Information Systems and Operations Management, Vienna University of Economics and Business)

Abstract

Beauty standards shape self-perception and health through social comparison and objectification, while exposure to idealized imagery exacerbates body-image concerns. Media and fashion are central arbiters of these ideals, yet long-term, quantitative, intersectional studies on how representation has changed remain scarce. We assembled a dataset of 793,199 records spanning 25 y of advertising, magazine covers, runway shows, and editorials to quantify changes in anthropometric and demographic representation. We find a paradox in the evolution of beauty ideals: While representational diversity has increased, the median model physique remains stable. This is driven by selective plus-size inclusion at the upper tail, while the typical physique continues to diverge from the US population. Intersectionally, non-White models are 4.5 times more likely to be plus-size, suggesting that the industry consolidates multiple markers of diversity onto already underrepresented individuals rather than broadening inclusion structurally. Stratifying the industry via a data-driven prestige hierarchy, we find that thinness is overrepresented at the top tier. Finally, descriptive comparisons of two regulatory interventions suggest that numeric thresholds may be more effective than flexible guidelines at reducing underweight appearances. Our results quantify the cultural evolution in media and fashion, revealing that inclusion has increased; however, gains are uneven and intersectionally concentrated on size and ethnicity, whereas the prevailing thin ideal remains largely unchanged.

Article Details

Volume / Issue Vol. 123, Issue 21
Published May 26, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (5)

L

Louis Boucherie

Department of Applied Mathematics and Computer Science, Technical University of Denmark

S

Sagar Kumar

Network Science Institute, Northeastern University

K

Katharina Ledebur

Complexity Science Hub

A

August Lohse

Center for Social Data Science, University of Copenhagen

K

Karolina Śliwa

Department of Information Systems and Operations Management, Vienna University of Economics and Business