Specific emotions as mediators of the effect of intergroup contact on prejudice: findings across multiple participant and target groups.

Emotions are increasingly being recognised as important aspects of prejudice and intergroup behaviour. Specifically, emotional mediators play a key role in the process by which intergroup contact reduces prejudice towards outgroups. However, which particular emotions are most important for prejudice reduction, as well as the consistency and generality of emotion-prejudice relations across different in-group-out-group relations, remain uncertain. To address these issues, in Study 1 we examined six distinct positive and negative emotions as mediators of the contact-prejudice relations using representative samples of U.S. White, Black, and Asian American respondents (N = 639). Admiration and anger (but not other emotions) were significant mediators of the effects of previous contact on prejudice, consistently across different perceiver and target ethnic groups. Study 2 examined the same relations with student participants and gay men as the out-group. Admiration and disgust mediated the effect of past contact on attitude. The findings confirm that not only negative emotions (anger or disgust, based on the specific types of threat perceived to be posed by an out-group), but also positive, status- and esteem-related emotions (admiration) mediate effects of contact on prejudice, robustly across several different respondent and target groups.

Representation and Incorporation of Close Others' Responses: The RICOR Model of Social Influence.

We propose a new model of social influence, which can occur spontaneously and in the absence of typically assumed motives. We assume that perceivers routinely construct representations of other people's experiences and responses (beliefs, attitudes, emotions, and behaviors), when observing others' responses or simulating the responses of unobserved others. Like representations made accessible by priming, these representations may then influence the process that generates perceivers' own responses, without intention or awareness, especially when there is a strong social connection to the other. We describe evidence for the basic properties and important moderators of this process, which distinguish it from other mechanisms such as informational, normative, or social identity influence. The model offers new perspectives on the role of others' values in producing cultural differences, the persistence and power of stereotypes, the adaptive reasons for being influenced by others' responses, and the impact of others' views about the self.

Evil acts and malicious gossip: a multiagent model of the effects of gossip in socially distributed person perception.

Although person perception is central to virtually all human social behavior, it is ordinarily studied in isolated individual perceivers. Conceptualizing it as a socially distributed process opens up a variety of novel issues, which have been addressed in scattered literatures mostly outside of social psychology. This article examines some of these issues using a series of multiagent models. Perceivers can use gossip (information from others about social targets) to improve their ability to detect targets who perform rare negative behaviors. The model suggests that they can simultaneously protect themselves against being influenced by malicious gossip intended to defame specific targets. They can balance these potentially conflicting goals by using specific strategies including disregarding gossip that differs from a personally obtained impression. Multiagent modeling demonstrates the outcomes produced by different combinations of assumptions about gossip, and suggests directions for further research and theoretical development.

Group-Based Emotions Over Time: Dynamics of Experience and Regulation.

People's emotions toward their ingroups and salient outgroups often change over time as a result of changing circumstances or intentional self-regulation. To investigate such dynamics, two studies assessed participants' perceived past, present, and ideal levels of group-based emotions toward ingroups and outgroups, for several different types of groups. Consistent with predictions, participants ideally wanted to feel more positive and less negative emotions toward the ingroup compared to their present levels. However, contrary to predictions, ideal emotions toward competitive outgroups were more positive than negative. Several effects over time suggested the successful regulation of emotion: Ideal levels of positive ingroup emotion predicted group-related behavioral intentions as well as emotions reported at a later time, over and above present levels. This work puts group-based emotions in a subjective temporal context and opens new directions for theory-driven investigation and new possibilities for interventions.

Implicit evaluation of familiar and novel concepts presented at low levels of conscious detectability.

In 2 experiments, implicit evaluation of novel and familiar concepts was assessed using a sequential priming procedure that enabled estimates of evaluative priming effects at low levels of detectability. In Experiment 1, the novel concepts referenced common names, and in Experiment 2 they referenced nonsense words. Whereas familiar concepts yielded priming effects at low levels of detectability in both experiments, novel concepts did not elicit any priming effect. Implicit evaluation of novel concepts has been documented in related research but under conditions that differ from those investigated here. The present results identify important limiting conditions associated with the implicit evaluation effect.

Positive Emotions, More Than Anxiety or Other Negative Emotions, Predict Willingness to Interact With Robots.

Like early work on human intergroup interaction, previous research on people's willingness to interact with robots has focused mainly on effects of anxiety. However, existing findings suggest that other negative emotions as well as some positive emotions also have effects. This article systematically examines the roles of positive and negative emotions in predicting willingness to interact with robots, using an integrative analysis of data across five studies that use diverse interaction conditions and several types of robots. We hypothesize and find that positive emotions account for more variance than negative emotions. Practically, the findings suggest new strategies for interventions, aimed at increasing positive emotions to increase willingness to engage in intergroup interaction. No existing work has examined whether positive emotions are stronger predictors than negative emotions for willingness for human intergroup interaction, an important topic for future research.

Contextualizing person perception: distributed social cognition.

Research on person perception typically emphasizes cognitive processes of information selection and interpretation within the individual perceiver and the nature of the resulting mental representations. The authors focus instead on the ways person perception processes create, and are influenced by, the patterns of impressions that are socially constructed, transmitted, and filtered through social networks. As the socially situated cognition perspective (E. R. Smith & G. R. Semin, 2004) suggests, it is necessary to supplement consideration of intra-individual cognitive processes with an examination of the social context. The authors describe a theoretical model of processes of distributed social cognition that takes account of 3 levels: the individual perceiver, the interacting dyad, and the social network in which they are embedded. The authors' model assumes that perceivers elicit or create as well as interpret impression-relevant information in dyadic interaction and that perceivers obtain information from 3rd-party sources who are linked to perceivers and targets in social networks. The authors also present results of a multiagent simulation of a subset of these processes. Implications of the theoretical model are discussed, for the possibility of correcting biases in person perception and for the nature of underlying mental representations of persons.

Arousal, processing, and risk taking: consequences of intergroup anger.

Intergroup emotions theory (IET) posits that when social categorization is salient, individuals feel the same emotions as others who share their group membership. Extensive research supporting this proposition has relied heavily on self-reports of group-based emotions. In three experiments, the authors provide converging evidence that group-based anger has subtle and less explicitly controlled consequences for information processing, using measures that do not rely on self-reported emotional experience. Specifically, the authors show that intergroup anger involves arousal (Experiment 1), reduces systematic processing of persuasive messages (Experiment 2), is moderated by group identification (Experiment 2, posttest), and compared to intergroup fear, increases risk taking (Experiment 3). These findings provide converging evidence that consistent with IET, emotions triggered by social categorization have psychologically consequential effects and are not evident solely in self-reports.

Can emotions be truly group level? Evidence regarding four conceptual criteria.

Recent advances in understanding prejudice and intergroup behavior have made clear that emotions help explain people's reactions to social groups and their members. Intergroup emotions theory (D. M. Mackie, T. Devos, & E. R. Smith, 2000; E. R. Smith, 1993) holds that intergroup emotions are experienced by individuals when they identify with a social group, making the group part of the psychological self. What differentiates such group-level emotions from emotions that occur purely at the individual level? The authors argue that 4 key criteria define group-level emotions: Group emotions are distinct from the same person's individual-level emotions, depend on the person's degree of group identification, are socially shared within a group, and contribute to regulating intragroup and intergroup attitudes and behavior. Evidence from 2 studies supports all 4 of these predictions and thus points to the meaningfulness, coherence, and functionality of group-level emotions.

Who I am, who we are, and why: links between emotions and causal attributions for self- and group discrepancies.

Discrepancies between people's ought selves and their actual selves and their ideal selves and actual selves predict the emotions that individuals experience. The authors predicted that internal versus external causal attributions for self-discrepancies should moderate the relationship between self-discrepancies and emotions, resulting in more refined predictions for both agitation- and dejection-related emotions and for two additional types of emotion, namely, anger-related and discontent-related emotions. Results of two studies generally supported the predictions that agitation-related emotions and dejection-related emotions were positively associated with actual-ought discrepancies and actual-ideal discrepancies, respectively, only when causal attributions for the discrepancies were internally based. Anger-related emotions and emotions of discontent were positively associated with actual-ought and actual-ideal discrepancies, respectively, primarily when causal attributions were externally based. Study 2, which addressed group discrepancies and group-based emotions, generally replicated the findings when group identification was high, yielding a more complex model of the link between discrepancies and emotions.

Subtyping versus bookkeeping in stereotype learning and change: connectionist simulations and empirical findings.

A distributed connectionist network can account for both bookkeeping (M. Rothbart, 1981) and subtyping (M. B. Brewer, V. Dull, & L. Lui, 1981; S. E. Taylor, 1981) effects. The finding traditionally regarded as demonstrating subtyping is that exposure to moderate (compared with extreme) disconfirmers leads to subsequent ratings of the group that are less stereotypic. Despite learning that is incremental and analogous to bookkeeping, the simulations replicate this finding and suggest that the "subtyping" pattern of results will be drastically reduced if disconfirmers are encountered before the stereotype is well-established. This novel prediction holds with human participants and offers a tantalizing suggestion: Although moderate disconfirmers may produce more stereotype change. stereotype development might be discouraged by exposure to either extreme or moderate disconfirmers.

On the automatic evaluation of social exemplars.

The present article focuses on the automatic evaluation of exemplars whose category membership has been learned in the past. Studies 1 and 2 confirmed the hypothesis that once an exemplar has been encoded as a member of a given group, at a later encounter the evaluation associated with the group will be unintentionally retrieved from memory, even when no perceptual cue indicates the exemplar's category membership. Study 3 extended the results to the domain of in-group/out-group differentiation. In addition. Studies 4 and 5 confirmed the hypothesis that stored evaluations can be retrieved and affect responses even when the semantic information on which the evaluations were originally based is no longer available for retrieval. Finally, Study 6 investigated spontaneous approach-avoidance behavior tendencies. Overall, results demonstrate the pervasive effects of person-based representations, and they are discussed in terms of recent models of person perception and out-group discrimination.

Integrating advice and experience: learning and decision making with social and nonsocial cues.

When making decisions, people typically gather information from both social and nonsocial sources, such as advice from others and direct experience. This research adapted a cognitive learning paradigm to examine the process by which people learn what sources of information are credible. When participants relied on advice alone to make decisions, their learning of source reliability proceeded in a manner analogous to traditional cue learning processes and replicated the established learning phenomena. However, when advice and nonsocial cues were encountered together as an established phenomenon, blocking (ignoring redundant information) did not occur. Our results suggest that extant cognitive learning models can accommodate either advice or nonsocial cues in isolation. However, the combination of advice and nonsocial cues (a context more typically encountered in daily life) leads to different patterns of learning, in which mutually supportive information from different types of sources is not regarded as redundant and may be particularly compelling. For these situations, cognitive learning models still constitute a promising explanatory tool but one that must be expanded. As such, these findings have important implications for social psychological theory and for cognitive models of learning.

Agent-based modeling: a new approach for theory building in social psychology.

Most social and psychological phenomena occur not as the result of isolated decisions by individuals but rather as the result of repeated interactions between multiple individuals over time. Yet the theory-building and modeling techniques most commonly used in social psychology are less than ideal for understanding such dynamic and interactive processes. This article describes an alternative approach to theory building, agent-based modeling (ABM), which involves simulation of large numbers of autonomous agents that interact with each other and with a simulated environment and the observation of emergent patterns from their interactions. The authors believe that the ABM approach is better able than prevailing approaches in the field, variable-based modeling (VBM) techniques such as causal modeling, to capture types of complex, dynamic, interactive processes so important in the social world. The article elaborates several important contrasts between ABM and VBM and offers specific recommendations for learning more and applying the ABM approach.

Situating social influence processes: dynamic, multidirectional flows of influence within social networks.

Social psychologists have studied the psychological processes involved in persuasion, conformity, and other forms of social influence, but they have rarely modeled the ways influence processes play out when multiple sources and multiple targets of influence interact over time. However, workers in other fields from sociology and economics to cognitive science and physics have recognized the importance of social influence and have developed models of influence flow in populations and groups-generally without relying on detailed social psychological findings. This article reviews models of social influence from a number of fields, categorizing them using four conceptual dimensions to delineate the universe of possible models. The goal is to encourage interdisciplinary collaborations to build models that incorporate the detailed, microlevel understanding of influence processes derived from focused laboratory studies but contextualized in ways that recognize how multidirectional, dynamic influences are situated in people's social networks and relationships.