ArticlePloS one2026
Divergence between facial expressions and self-reported emotions: Sex differences in responses to video-based emotional stimuli.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Who regulates when told? A systematic investigation of implicit to explicit emotion regulation.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emotional responses involve multiple components, including subjective experience and behavioral expression, which do not always align. Moreover, sex differences in emotional processing appear to vary across emotion types and response modalities. This study investigated sex differences and concordance between self-reported emotional experience and facial expressions elicited by naturalistic emotional video stimuli in a Korean adult sample. One hundred forty-eight healthy adults viewed video clips inducing joy, anxiety, sadness, and neutral states; spontaneous facial expressions were recorded and analyzed using the iMotions automated facial expression analysis software. After watching the stimuli, participants rated their subjective emotional experiences on discrete emotion scales (joy, sadness, disgust, fear/anxiety) and affective dimension scales (valence and arousal). Facial expression measures were summarized as positive and negative expressions. Age effects were statistically controlled for both facial expression and self-rating measures, and non-parametric analyses were conducted on the age-adjusted values because most variables deviated from normality. The video stimuli reliably elicited their intended target emotions in both self-reported ratings and facial expression patterns. Females exhibited stronger positive facial expressions than males during joyful stimuli despite comparable self-reported joy ratings. For anxiety stimuli, females showed higher fear/anxiety ratings and stronger negative facial expressions, whereas for sadness stimuli, females reported higher sadness ratings without corresponding differences in facial expressions. Females also reported higher arousal than males for negative stimuli. Concordance between facial expressions and self-reported ratings varied by emotion and sex, with robust associations for joy across both sexes, weaker or absent associations for sadness, and sex-specific associations for anxiety. These findings demonstrate that sex differences in emotional responding are emotion-specific and component-specific, highlighting partial dissociations between subjective experience and expressive behavior. This study provides culturally specific validation of dynamic video-based emotion paradigms and supports continuous facial expression analysis as an objective complement to self-report measures in Korean populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.