| Literature DB >> 30761043 |
Shan Gao1,2, Lizhu Luo2, Wanyu Zhang1, Yuxin Lan1, Ting Gou1, Xun Li1.
Abstract
Previous research has shown that that evaluative verbal information (praise and criticism) conveys different affective values: criticism is perceived as unpleasant while praise is generally considered pleasant. Here, using praise and criticism in Chinese, we investigated how affective value is modulated in men and women, depending on the particular attribute (personality vs. appearance) targeted by social comments. Results showed that whereas praise was rated as pleasant and criticism as unpleasant overall, criticizing personality reduced pleasantness more than criticizing appearance. In men, moreover, criticism of personality was deemed more unpleasant than criticism of appearance while personality-targeted praise was rated more pleasant than appearance-targeted praise. This effect was absent in women and consistent with men's higher arousal ratings for personality- relative to appearance-targeted comments. Our findings suggest that men are more concerned about external perception of their personality than that of their appearance whereas women's affective judgment is more balanced. These gender-specific results may have implications for topic selection in evaluative social communication.Entities:
Keywords: appearance; criticism; gender; personality; praise
Year: 2019 PMID: 30761043 PMCID: PMC6362430 DOI: 10.3389/fpsyg.2019.00078
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Valence ratings for praise and criticism targeting appearance and personality in males and females. There were a comment-type main effect, type × target interaction and type × target × gender interaction. ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001; #P = 0.064. Bars depict M ± SE. App, appearance; Per, personality.
FIGURE 2Arousal ratings for praise and criticism targeting appearance and personality in males and females. An interaction between comment-target and gender was found showing that males were more aroused by personality-targeted comments than appearance-targeted ones. ∗∗∗P < 0.001; #P = 0.064. Bars depict M ± SE. App, appearance; Per, personality.