Evidence map›Paper›PMID 40399403›Full record

ArticleScientific reports2025

Cultural differences in the beauty premium.

Benjamin Kohler, Wladislaw Mill

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Benjamin KohlerCenter for Law & Economics, ETH Zurich, Haldeneggsteig 4, 8092, Zurich, Switzerland.
Wladislaw MillDepartment of Economics, University of Mannheim, L7 3-5, 68131, Mannheim, Germany. mill@uni-mannheim.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large body of research suggests that better-looking people are associated with various positive outcomes, an effect labeled the beauty premium. However, the vast majority of this evidence has been demonstrated in WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries, neglecting the role of cultural mechanisms in translating beauty into socio-economic outcomes. We close this gap by leveraging cultural differences embedded in an essential artifact of culture: language. Specifically, we establish a method for examining beauty associations in machine learning-based language models. Using this method, we replicate several standard findings in English. More importantly, we create a linguistic measure of the beauty premium and apply it to 68 languages. We provide new evidence that the beauty premium may be universal, with considerable heterogeneity across cultures. Furthermore, we discuss several new avenues for future research arising from our findings.

Indexed as

BeautyCultureMachine LearningSocioeconomic FactorsAlgorithmsCultural CharacteristicsFemaleGender IdentityHumansLanguageLinguisticsMaleBeauty premiumCultural differencesLanguage models

Identifiers

PMID40399403
PMCPMC12095813

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.