Group-level Emotions Research Articles

Emotional sentiment analysis for a group of people based on transfer learning with a multi-modal system

Identifying emotional sentiment projected in an image is a tedious task, considering the fact that sentiment represented by an image could depend on a very diverse set of factors. This paper presents a novel approach to predict the emotional sentiment of a group of people in a variety of environments. The proposed technique uses local facial features of subjects along with global scene features to estimate the type of emotional sentiment in group-level emotion recognition. Two separate convolutional neural networks based on different architectures are designed to predict group-level emotions into three categories: negative, neutral and positive. The first convolutional neural network referred as Scene-model, learns the global features in data. A novel partial fine-tuning process is proposed to train the model on task-specific data. The second convolutional model referred as Face-model is trained on facial expression datasets to learn the emotional status of subjects in an image. Joint distribution of the global (scene) and local (face) features is modeled using long short-term memory networks. This joint distribution is converted into class scores using softmax regression-based model.

Cognitive, Affective, and Behavioral Responses to Ingroup’s Devalued Social Status: a Field Study at a Public University

In this study based on an actual event, we examined how group members cognitively, affectively, and behaviorally respond to devaluation of ingroup’s social status. Integrating predictions from Social Identity Theory (SIT; Tajfel and Turner 1986) and Intergroup Emotions Theory (IET; Smith et al. Journal of Personality and Social Psychology, 93(3), 431–446 (2007)), we explored how appraisals about ingroup’s perceived decrease in status (i.e., stability and legitimacy of status change and permeability of group boundaries) are associated with discrete group-level emotions (e.g., anger, shame), and how those emotions in turn predict different coping strategies Blanz et al. European Journal of Social Psychology, 28(5), 697–729 (1998). Analyses of the results showed that: First, preference for each coping strategy varied according to appraisals of ingroup status, and the patterns were largely consistent with what SIT predicts. Second, different group-level emotions were reported according to appraisals of ingroup status. Third, inclusion of group-level emotions as mediators of associations between ingroup status appraisals and coping strategies significantly increased the explanatory power of the path models. In sum, this study demonstrated how the two theories on intergroup relations can be used together to offer a more detailed account of group identity management. For future direction, experimental or longitudinal designs as well as cross-cultural comparisons were suggested.

Dynamics of Group-Based Emotions: Insights From Intergroup Emotions Theory

Over-time variability characterizes not only individual-level emotions, but also group-level emotions, those that occur when people identify with social groups and appraise events in terms of their implications for those groups. We discuss theory and research regarding the role of emotions in intergroup contexts, focusing on their dynamic nature. We then describe new insights into the causes and consequences of emotional dynamics that flow from conceptualizing emotions as based in group membership, and conclude with research recommendations.

Exposure to Immigration in the News: The Impact of Group-Level Emotions on Intergroup Behavior

Numerous empirical investigations demonstrate that exposure to the stereotypic and oftentimes threatening portrayals of race/ethnicity in the media predict a wide range of unfavorable intergroup outcomes. The current study extends this work by experimentally examining the role of emotions in this process. Specifically, a 2 (Immigration Threat: Present/Absent) × 2 (Ingroup Emotion Endorsement: Present/Absent) + 1 (Control Group) experimental design tests the influence of exposure to immigration news stories on group-level emotions and intergroup behaviors. Findings indicate that exposure to threatening immigration news coverage indirectly influences intergroup outcomes through group-level emotions. Exposure to immigration news indirectly produces active and passive harming behaviors through feelings of contempt. These results provide an important first step in understanding a broader array of media-related intergroup processes and effects.

Subtle activation of a social categorization triggers group-level emotions

Previous research [Smith, E. R., Seger, C. R., & Mackie, D. M. (2007). Can emotions be truly group-level? Evidence regarding four conceptual criteria. Journal of Personality and Social Psychology, 93, 431–446] has demonstrated that when people are explicitly asked about the emotions they experience as members of a particular group, their reported emotions converge toward a profile typical for that group. Two studies demonstrate that the same type of convergence occurs when a group identity is made situationally salient through priming, without an explicit request to report group-level emotions. People who identify more strongly with the group converge more, and show more similarity between their group-primed emotions and explicitly reported group-level emotions. This research confirms that activating a social identity produces convergence for emotions as well as for attitudes and behaviors. It also suggests that some previous emotion research may have tapped group rather than individual-level emotions, potentially requiring some reconceptualization.

Emotion in inter-group relations

The study of inter-group relations has seen a renewed emphasis on emotion. Various frameworks converge on the general conceptualisation of group-level emotions, with respect to their antecedent appraisals and implications for inter-group relations. However, specific points of divergence remain unresolved regarding terminology and operationalisation, as well as the role of self-relevance (e.g., self-categorisation, in-group identification) in moderating the strength of emotion that individuals feel about groups and their inter-relations. In this chapter we first present a typology of group-level emotions in order to classify current conceptual and empirical approaches, differentiating them along the dimensions of the (individual or group) subject and object of emotion. The second section reviews evidence for the claim that individuals feel stronger group-level emotions about things that are relevant to their self-concept, with emphasis on three indicators of self-relevance: domain relevance, self-categorisation as an in-group member, and in-group identification. Implications for, and future directions in, the study of emotion in inter-group relations are discussed.

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.

Emotional Aperture and Strategic Renewal: The Accurate Recognition of Collective Emotions

This article introduces emotional aperture, defined as the ability to recognize patterns of specific collective emotions. We show how emotional aperture can help leaders recognize and deal with diverse collective emotions that arise during strategic renewal and other emotionally turbulent processes. We describe key psychological-cultural enablers and impediments, moreover, to achieving the necessary focus and accuracy required for an effective emotional aperture in organizations. This article provides an initial conceptualization of how leaders can adjust their focus to group-level emotions and thus complement existing notions of emotional abilities (e.g., emotional intelligence), which focus on individual-level emotions.

Emotional Aperture and Strategic Change: The Accurate Recognition of Collective Emotions

This paper introduces emotional aperture, defined as the ability to recognize the composition of diverse emotions in a collective (e.g., group or business unit). We develop the thesis that a leader's ability to respond effectively to patterns of shared emotions that arise during strategic change and other emotionally turbulent organizational processes depends on the leader's ability to use emotional aperture. Additionally, we describe key cultural, psychological, and contextual enablers and impediments to achieving the necessary focus and accuracy that characterize the effective use of emotional aperture in organizations. This paper provides an initial conceptualization of how individuals can adjust their attention to group-level emotions and thus extends existing notions of emotional competencies (e.g., emotional intelligence) that have focused more narrowly on individual-level emotions.