Fundamental Dimensions of Social Judgment: Sociability and Morality as Distinct Characteristics of Social Warmth

The present dissertation focuses on the two basic dimensions of social judgment, i.e., warmth and competence. Previous research has shown that warmth and competence emerge as fundamental dimensions both at the interpersonal level and at the group level. Moreover, warmth judgments appear to be primary, reflecting the importance of first assessing others’ intentions before determining the other’s ability to carry out those intentions. Finally, it has been shown that warmth and competence judgments are predicted by perceived economic competition and status, respectively (for a review, see Cuddy, Fiske, & Glick, 2008). Building on this evidence, the present work intends to further explore the role of warmth and competence in social judgment, adopting a finer-grained level of analysis. Specifically, we consider warmth to be a dimension of evaluation that encompasses two distinct characteristics (i.e., sociability and morality) rather than as an undifferentiated dimension (see Leach, Ellemers, & Barreto, 2007). In a similar vein, both economic competition and symbolic competition are taken into account (see Stephan, Ybarra, & Morrison, 2009). In order to highlight the relevance of our empirical research, the first chapter reviews the literature in social psychology that has studied the warmth and competence dimensions. In the second chapter, across two studies, we examine the role of realistic and symbolic threats (akin economic and symbolic competition, respectively) in predicting the perception of sociability and morality of social groups. In study 1, we measure perceived realistic threat, symbolic threat, sociability, and morality with respect to 8 social groups. In study 2, we manipulate the level and type of threat of a fictitious group and measure perceived sociability and morality. The findings show that realistic threat and symbolic threat are differentially related to the sociability and morality components of warmth. Specifically, whereas realistic threat seems to be a stronger predictor of sociability than symbolic threat, symbolic threat emerges as better predictor of morality than realistic threat. Thus, extending prior research, we show that the types of threat are linked to different warmth stereotypes. In the third and the fourth chapter, we examine whether the sociability and morality components of warmth play distinct roles at different stages of group impression formation. More specifically, the third chapter focuses on the information-gathering process. Two studies experimentally investigate which traits are mostly selected when forming impressions about either ingroup or outgroup members. The results clearly show that perceivers are more interested in obtaining information about morality than about sociability when asked to form a global impression about others. The fourth chapter considers more properly the formulation of an evaluative impression. Thus, in the first study participants rate real groups on sociability, morality, and competence. In the second study, participants read an immigration scenario depicting an unfamiliar social group in terms of high (vs. low) morality, sociability, and competence. In both studies, participants are also asked to report their global impression of the group. The results show that global evaluations are better predicted by morality than by sociability and competence trait ascriptions. Taken together the third and the fourth chapters show that the dominance of warmth suggested by previous studies on impression formation might be better explained in terms of a greater effect of one of the two subcomponents (i.e., morality) over the other (i.e., sociability). In the general discussion, we discuss the relevance of our findings for intergroup relation and group perception, as well as for impression formation.

A molecular phylogeny of bivalve mollusks: ancient radiations and divergences as revealed by mitochondrial genes

The main scope of my PhD is the reconstruction of the large-scale bivalve phylogeny on the basis of four mitochondrial genes, with samples taken from all major groups of the class. To my knowledge, it is the first attempt of such a breadth in Bivalvia. I decided to focus on both ribosomal and protein coding DNA sequences (two ribosomal encoding genes -12s and 16s -, and two protein coding ones - cytochrome c oxidase I and cytochrome b), since either bibliography and my preliminary results confirmed the importance of combined gene signals in improving evolutionary pathways of the group. Moreover, I wanted to propose a methodological pipeline that proved to be useful to obtain robust results in bivalves phylogeny. Actually, best-performing taxon sampling and alignment strategies were tested, and several data partitioning and molecular evolution models were analyzed, thus demonstrating the importance of molding and implementing non-trivial evolutionary models. In the line of a more rigorous approach to data analysis, I also proposed a new method to assess taxon sampling, by developing Clarke and Warwick statistics: taxon sampling is a major concern in phylogenetic studies, and incomplete, biased, or improper taxon assemblies can lead to misleading results in reconstructing evolutionary trees. Theoretical methods are already available to optimize taxon choice in phylogenetic analyses, but most involve some knowledge about genetic relationships of the group of interest, or even a well-established phylogeny itself; these data are not always available in general phylogenetic applications. The method I proposed measures the "phylogenetic representativeness" of a given sample or set of samples and it is based entirely on the pre-existing available taxonomy of the ingroup, which is commonly known to investigators. Moreover, it also accounts for instability and discordance in taxonomies. A Python-based script suite, called PhyRe, has been developed to implement all analyses.

The language of others mirrored in thy face: The role of political affiliation in automatic facial effects of language

People tend to automatically mimic facial expressions of others. If clear evidence exists on the effect of non-verbal behavior (emotion faces) on automatic facial mimicry, little is known about the role of verbal behavior (emotion language) in triggering such effects. Whereas it is well-established that political affiliation modulates facial mimicry, no evidence exists on whether this modulation passes also through verbal means. This research addressed the role of verbal behavior in triggering automatic facial effects depending on whether verbal stimuli are attributed to leaders of different political parties. Study 1 investigated the role of interpersonal verbs, referring to positive and negative emotion expressions and encoding them at different levels of abstraction, in triggering corresponding facial muscle activation in a reader. Study 2 examined the role of verbs expressing positive and negative emotional behaviors of political leaders in modulating automatic facial effects depending on the matched or mismatched political affiliation of participants and politicians of left-and right-wing. Study 3 examined whether verbs expressing happiness displays of ingroup politicians induce a more sincere smile (Duchenne) pattern among readers of same political affiliation relative to happiness expressions of outgroup politicians. Results showed that verbs encoding facial actions at different levels of abstraction elicited differential facial muscle activity (Study 1). Furthermore, political affiliation significantly modulated facial activation triggered by emotion verbs as participants showed more congruent and enhanced facial activity towards ingroup politicians’ smiles and frowns compared to those of outgroup politicians (Study 2). Participants facially responded with a more sincere smile pattern towards verbs expressing smiles of ingroup compared to outgroup politicians (Study 3). Altogether, results showed that the role of political affiliation in modulating automatic facial effects passes also through verbal channels and is revealed at a fine-grained level by inducing quantitative and qualitative differences in automatic facial reactions of readers.