The Ginevra de' Benci Effect: Competence, Morality, and Attractiveness Inferred From Faces Predict Hiring Decisions for Women

Lookism, a Leak in the Career Pipeline? Career Perspective Consequences of Lookism Climate and Workplace Incivility

Despite strides toward gender equality in the workforce, women continue to face significant challenges, including the "glass ceiling" and the "leaky pipeline", partially stemming from low occupational self-confidence. This study examined whether a climate of lookism leads to workplace mistreatment, undermining employees' perceptions of job competence and career potential, with a focus on gender differences. Using a cross-sectional design, data from 699 Italian workers (42.8% male, 56.3% female) were analyzed through multi-group structural equation modeling. The model explored relationships between lookism climate, workplace incivility, imposter syndrome, and perceived employability. The results revealed a full serial mediation for women; lookism climate was positively related to workplace incivility, which in turn was related to imposter syndrome, negatively impacting perceived employability. For men, no serial mediation was found; lookism climate was directly related to both incivility and imposter syndrome, with no significant relationship between the two. Like women, men experienced a negative relationship between imposter syndrome and perceived employability, yet this relationship was stronger for men. This study highlights that identifying and addressing workplace climates that foster subtle mistreatment can prevent larger issues like the leaky pipeline, suggesting targeted organizational-level intervention and prevention strategies can enhance job competence perceptions and career potential for both genders.

Decoding the language of first impressions: Comparing models of first impressions of faces derived from free-text descriptions and trait ratings

First impressions formed from facial appearance predict important social outcomes. Existing models of these impressions indicate they are underpinned by dimensions of Valence and Dominance, and are typically derived by applying data reduction methods to explicit ratings of faces for a range of traits. However, this approach is potentially problematic because the trait ratings may not fully capture the dimensions on which people spontaneously assess faces. Here, we used natural language processing to extract 'topics' directly from participants' free-text descriptions (i.e., their first impressions) of 2222 face images. Two topics emerged, reflecting first impressions related to positive emotional valence and warmth (Topic 1) and negative emotional valence and potential threat (Topic 2). Next, we investigated how these topics were related to Valence and Dominance components derived from explicit trait ratings. Collectively, these components explained only ~44% of the variance in the topics extracted from free-text descriptions and suggested that first impressions are underpinned by correlated valence dimensions that subsume the content of existing trait-rating-based models. Natural language offers a promising new avenue for understanding social cognition, and future work can examine the predictive utility of natural language and traditional data-driven models for impressions in varying social contexts.

Turning ingroup wounds into bonds: perceptions of gender inequalities predict attitudes toward other minorities

Despite significant strides in reducing gender disparities over the past decades, women still face disparities in several domains. While extensive research has explored the various consequences of gender inequalities for women, this study (N = 493 participants) delves into a less-explored dimension, investigating whether and how perceiving gender inequalities is associated with attitudes toward minorities. Drawing on relative deprivation theory and intra-minority solidarity research, we examined the relationship between women's perceptions of gender inequalities-spanning workplace inequality, domestic inequality, sexual harassment, and social expectations-and attitudes toward gays and lesbians, transgender women, and immigrants. We also explored whether indignation, arising from recognizing unjust circumstances, mediated these relationships, and the moderating role of perceived friends' support for gender equality. The results of the path analyses unveiled a nuanced relationship. While women who were more aware of gender inequalities exhibited more positive attitudes toward gays and lesbians and transgender women, no such relationship was observed regarding immigrants. Indignation and perceived friends' support for gender equality were key factors in fostering positive intergroup attitudes. Regarding their moderating role, perceived social norms only influenced the relationship between indignation and attitudes toward gays and lesbians. These findings shed light on the intricate interplay between gender inequalities and minority group attitudes. Recognizing the multifaceted nature of gender inequality and its emotional impact can catalyze promoting coalitional attitudes and collective action among disadvantaged groups. The study also underscores the potential of close groups' norms in promoting positive intergroup attitudes, warranting further exploration.

A multidimensional implicit approach to gender stereotypes

Research has widely explained gender inequalities in terms of gender stereotypes, according to which women are considered more nurturing, empathic, and emotional but less competent - than men. Recent evidence highlights that especially women are portrayed along multiple dimensions. In this research, we adopted an implicit Semantic Misattribution procedure to detect whether gender stereotypes have a multidimensional structure and are differently attributed to men and women. Results showed that Competence and Dominance-related terms were considered more masculine ones. In contrast, Morality and Physical Attractiveness were attributed to feminine ideograms to a higher and significant extent than masculine ones. Sociability was related to feminine and masculine ideograms almost to the same extent. The gathered evidence provided a multidimensional picture even composed of more judgment dimensions with reference to women highlighting how it can be difficult for them to meet all those multiple expectancies.

The deficit bias: Candidate gender differences in the relative importance of facial stereotypic qualities to leadership hiring

Recent findings highlight two facets of the two fundamental stereotype content dimensions of agency (i.e., 'dominance' and 'competence') and communality (i.e., 'morality' and 'sociability'; e.g., Abele et al., 2016) with implications for understanding gender inequality in the workplace (e.g., Prati et al., 2019). Extending this research and contributing to the facial first impressions literature, we examined how these facets of agency and communality when inferred from White men's and women's faces, along with attractiveness, influence their leadership suitability. In three studies in the United Kingdom (total N = 424), using student and working samples and two managerial descriptions, we found an unexpected pattern of results, supported by an internal meta-analysis: attractiveness and competence were the most important predictors of hirability for all candidates. For women, dominance was the next most important predictor; for men, morality and sociability were more important than dominance. Moreover, morality and sociability were more important in evaluating men than women, while dominance was more important in evaluating women than men. Findings are discussed in terms of a 'deficit bias', whereby the qualities women and men are considered to lack - dominance for women, morality, and sociability for men - may be given more weight when evaluating their leadership suitability.