‘The system is unfair’: Uncontrollable attributions for inequality predict more equitable giving in adolescents

Socioeconomic position is often determined by uncontrollable, structural factors, yet people from the United States tend to attribute wealth and poverty to individual control. However, information about behavioural correlates of such beliefs across development is relatively lacking. Thus, we examined adolescents' reasoning about the causes of inequality in a sample of 599 adolescents from a socioeconomically, ethnically, and racially diverse middle school (grades 6–8). Additionally, early adolescents were presented with two novel groups with an unexplained wealth disparity and given a task in which they could perpetuate or rectify inequality. We found that while adolescents tended to give equitably and rectify the inequality, this outcome was predicted by the type of explanation they gave for societal inequality. Furthermore, participants' socioeconomic status and sexual identity predicted their inequality explanations. These results add to our knowledge of adolescent reasoning about inequality by demonstrating a potential link between attributions for inequality and giving behaviour.     

Why do we share aggressive online content? Testing a short cycle model

The present study aimed to observe the impacts of aggressive online content exposure and personality on aggressive content sharing, considering the mediating role of positive and negative affects. A total of 302 Brazilians, equally divided into two groups, participated in a social network simulation, being exposed to aggressive (experimental group) or neutral (control group) posts and choosing what they would like to share on this site (among aggressive or nonaggressive material). A factorial MANOVA showed a significant difference for positive and negative affects and aggressive content sharing (Wilks' Λ = 0.936; F[3, 298] = 6.812; p = .001; η² = 0.064). Through structural equation modeling, an explanatory model was also tested, in which this behavior was directly predicted by aggressive online content exposure and suffered indirect effects from openness, conscientiousness, and extroversion, mediated by positive affects (goodness-of-fit index = 0.997, comparative fit-index = 0.998, Tucker-Lewis index = 0.996, SRMR = 0.028, root-mean-square error of approximation = 0.035, CI = 0.003−0.054). It is possible to conclude that the objectives are met, highlighting the contribution to understanding aggressive online behavior through the proximal processes described in the general aggression model.     

Does the Candidate Matter? Comparing the Voting Choice of Early and Late Deciders

Candidate personality traits have long been recognized as influential in the determination of voting choice. However, little is understood of how the perception of candidates' traits influences different categories of voters. Based on a large‐scale electoral‐panel survey (ITANES, ITAlian National Election Studies), the present study investigated whether the voting choice of early and late deciders differentially relied on candidate traits. Results showed that after considering the influence of ideology and economy assessment, candidate traits still influenced the voting choice of early deciders and, even more, of late deciders. However, while early deciders took into account both incumbent and challenger traits, late deciders mainly relied on incumbent traits. Political sophistication moderated this effect, with high‐sophisticated early deciders relying even more on the challenger, and low‐sophisticated late deciders relying even more on the incumbent. The distinction between incumbent and challenger is discussed as a key variable in explaining the role of candidate traits in the choice of voters differing as to voting decision time and political sophistication.     

Social signals: a framework in terms of goals and beliefs

The paper defines the notion of social signal, in terms of a cognitive model of mind and social interaction, as a communicative or informative signal or a cue that directly or indirectly provides information about "social facts": social interactions, social emotions, social attitudes, evaluations and stances, social relations, and social identities. This notion is compared with other connected notions in Semiotics, Ethology, and Psychology, several types of informative and communicative signals and cues are exemplified, and their process of production and interpretation is overviewed, while considering the role of context and previous knowledge in it. The implications of this model are outlined for the construction of systems for the analysis of social signals and their simulation in Virtual Agents.     

Social signals: from theory to applications

The Special Issue Editorial introduces the research milieu in which Social Signal Processing originates, by merging computer scientists and social scientists and giving rise to this field in parallel with Human–Computer Interaction, Affective Computing, and Embodied Conversational Agents, all similarly characterized by high interdisciplinarity, stress on multimodality of communication, and the continuous loop from theory to simulation and application. Some frameworks of the cognitive and social processes underlying social signals are identified as reference points (Theory of Mind and Intersubjectivity, mirror neurons, and the ontogenesis and phylogenesis of communication), while three dichotomies (automatic vs. controlled, individualistic vs. intersubjective, and meaning vs. influence) are singled out as leads to navigate within the theoretical and applicative studies presented in the Special Issue.     

Social signals: from theory to applications

The Special Issue Editorial introduces the research milieu in which Social Signal Processing originates, by merging computer scientists and social scientists and giving rise to this field in parallel with Human-Computer Interaction, Affective Computing, and Embodied Conversational Agents, all similarly characterized by high interdisciplinarity, stress on multimodality of communication, and the continuous loop from theory to simulation and application. Some frameworks of the cognitive and social processes underlying social signals are identified as reference points (Theory of Mind and Intersubjectivity, mirror neurons, and the ontogenesis and phylogenesis of communication), while three dichotomies (automatic vs. controlled, individualistic vs. intersubjective, and meaning vs. influence) are singled out as leads to navigate within the theoretical and applicative studies presented in the Special Issue.     

Social signals: a framework in terms of goals and beliefs

The paper defines the notion of social signal, in terms of a cognitive model of mind and social interaction, as a communicative or informative signal or a cue that directly or indirectly provides information about “social facts”: social interactions, social emotions, social attitudes, evaluations and stances, social relations, and social identities. This notion is compared with other connected notions in Semiotics, Ethology, and Psychology, several types of informative and communicative signals and cues are exemplified, and their process of production and interpretation is overviewed, while considering the role of context and previous knowledge in it. The implications of this model are outlined for the construction of systems for the analysis of social signals and their simulation in Virtual Agents.     

The Influence of the Internet on the Psychosocial Predictors of Collective Action

The Internet has emerged as an important communication platform for the support of collective action, but little is known about how it influences the psychosocial motives for participation. Two quantitative studies were conducted within two different mobilizing contexts, in which offline collective actions were launched through computer‐mediated communication. We examined whether and how the frequency with which people participated in online political discussions moderated the effects of the psychosocial predictors of collective action, specifically politicized identity, anger, collective efficacy, and morality. Results showed that collective action intention was predicted by politicized identity only when participants reported a higher versus lower frequency of online discussion. However, anger did not predict collective action when people had the chance to express this emotion through a higher versus lower frequency of online discussion. Moreover, collective efficacy and morality supported collective action intention in participants who reported a higher versus lower frequency of online discussion. We theorize on how computer‐mediated communication, and its specific features, can be studied as a mobilizing context that influences the psychosocial motives to participate in collective action. Copyright © 2012 John Wiley & Sons, Ltd.     

Activity experiences shape perceived fitness trajectories: results from a 6-month randomized controlled trial in older women

In this study we addressed the subjective benefits of activity interventions that were designed to improve cognitive fitness in old age. Two hundred and fifty-nine women (aged 70-93 years) were randomized to participate in an exercise or a computer course or a control condition for 6 months. Subjective ratings of the perceived change of cognitive and physical fitness components were captured before, during, after the intervention interval, and at a 10-month follow-up. Positive and negative affect levels and objective cognitive fitness parameters served as possible covariates. Multilevel modeling revealed that the computer group rated memory and concentration as having improved at 4 months and again at 6 months. The exercise group, in contrast, perceived physical capacities as maintained or improved. The characteristics of the activity experience seem to determine the perceived fitness changes. We conclude that actual learning experiences improve one's self-concept of abilities.