Evidence map›Paper›PMID 42792370›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Perfectionistic Discrepancy, Stress, and Preference for Ugly-Cute Memes: Evidence from a Survey and a Randomized Experiment.

Yi An, Yu Jin, Ji Xu, Tiansheng Xia, Dingbang Luh

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. 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

5 authors.

Yi AnSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.
Yu JinSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.
Ji XuSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.
Tiansheng XiaSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-6943-2958
Dingbang LuhSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.

Funding

National Social Science Fund 24FJKB021
6 · The paper itself

Abstract

Ugly-cute memes, which blend visual incongruity with cuteness, have become a prominent form of nonconventional online esthetics on social media, yet little is known about who prefers them and why. The present research examined how perfectionistic discrepancy and stress-related states relate to ugly-cute meme preference across two studies. In Study 1, 356 Chinese adults completed the Discrepancy subscale of the Almost Perfect Scale-Revised, together with measures of perceived stress, state anxiety, and preference for a pretested ugly-cute meme. The mediation model yielded a negative direct association between perfectionistic discrepancy and ugly-cute meme preference, as well as positive indirect associations through state anxiety and through the serial path from perceived stress to state anxiety. Study 2 used a randomized recall-based stress induction with 393 valid participants. Compared with participants in the neutral-recall control condition, those in the stress-recall condition reported higher state anxiety, rated ugly-cute images more favorably, and were more likely to choose an ugly-cute image in the forced-choice task. The estimated indirect effect of the stress manipulation on ugly-cute image preference through state anxiety was statistically significant. Overall, stress-related states appear to increase the appeal of ugly-cute content. Perfectionistic discrepancy, in turn, relates to this preference through opposing direct and indirect routes.

Indexed as

emotional compensationperfectionistic discrepancystate anxietystressugly–cute memes

Identifiers

PMID42792370
PMCPMC13603214

What OpenQuestion holds

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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.