When are anti-fat attitudes understood as prejudice versus truth? An experimental study of social influence effects

Background/Objectives If people who hold anti-fat attitudes believe these attitudes to be true, then anti-prejudice appeals are likely to be unsuccessful, if only because the targets will not see their attitudes as in need of change. The current study examined processes that may lead people to see their anti-fat attitudes as 'truth' or as 'prejudice'. Subjects/Methods Participants (N = 482) read anti-fat statements and were then presented with an interpretation of these statements as 'truth' or 'prejudice'. The source of this interpretation was either an (i) in-group or out-group member and (ii) expert or non-expert. Participants' judgements of the statements were expected to vary such that in-group others and experts would exert more influence than would out-group others and non-experts. Results Participants aligned their own interpretations of an anti-fat statement with those of an expert, but not with those of a non-expert, F(1,466) = 8.97, p <0.05, eta(2)(p) = 0.02. The group membership variable had no effect on judgements of 'truth' or 'prejudice' of the anti-fat statement. Conclusion The expressions that people believe constitute anti-fat prejudice versus truth about people described as overweight are influenced by exposure to expert opinion (in this case, by medical doctors). Implications for the success of weight-based anti-prejudice appeals and for healthcare provision are discussed

When ideology meets conflict-related content: influences on emotion generation and regulation

Do rightists and leftists experience information about suffering and harm with differing emotional intensities, depending on the identity of target depicted? Do they consequently choose differently how to regulate or cope with these emotions? Research has identified ideological differences in emotional processes, but it has yet to identify what types of content lead to ideological differences in emotional intensity or whether these content-dependent differences relate to differing preferences for engaging versus disengaging emotion-regulation strategies. We posited that right–left differences in experienced emotional intensity would be context-dependent, emerging mostly in response to depictions of harm to the outgroup, in accordance with the centrality of intergroup attitudes to ideological self-placement in conflict. Study 1 (N = 83) supported this hypothesis, with leftists (vs. rightists) experiencing outgroup harm (but not ingroup harm or conflict-irrelevant harm) with greater emotional intensity. Study 2 (N = 101), which replicated this finding, additionally examined whether behavioral differences in regulatory choice consequently emerge mostly regarding outgroup harm. We tested 2 competing hypotheses as to the nature of these differences: (a) the intensity hypothesis, positing that leftists (more than rightists) would regulate their intensified reactions to outgroup harm through disengagement–distraction (vs. engagement–reappraisal) due to a documented greater preference for disengaging coping strategies as intensity increases, and (b) the motivation hypothesis, positing that leftists (more than rightists) would prefer engagement–reappraisal (vs. disengagement–distraction), consistent with leftists’ documented greater preference for intergroup empathy. Results exclusively supported the intensity hypothesis, and the significance of both studies is discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved)Social decision makin

An Agent-Based Model of Collective Emotions in Online Communities

We develop a agent-based framework to model the emergence of collective emotions, which is applied to online communities. Agents individual emotions are described by their valence and arousal. Using the concept of Brownian agents, these variables change according to a stochastic dynamics, which also considers the feedback from online communication. Agents generate emotional information, which is stored and distributed in a field modeling the online medium. This field affects the emotional states of agents in a non-linear manner. We derive conditions for the emergence of collective emotions, observable in a bimodal valence distribution. Dependent on a saturated or a superlinear feedback between the information field and the agent's arousal, we further identify scenarios where collective emotions only appear once or in a repeated manner. The analytical results are illustrated by agent-based computer simulations. Our framework provides testable hypotheses about the emergence of collective emotions, which can be verified by data from online communities.Comment: European Physical Journal B (in press), version 2 with extended introduction, clarification

When the world collapses : Changed worldview and social reconstruction in a traumatized community

Background: Traumatic experience can affect the individual’s basic beliefs about the world as a predictable and safe place. One of the cornerstones in recovery from trauma is reestablishment of safety, connectedness, and the shattered schema of a worldview. Objective: This study explored the role of negatively changed worldview in the relationship between war-related traumatization and readiness for social reconstruction of intergroup relations in a post-conflict community measured by three processes: intergroup rapprochement, rebuilding trust, and need for apology. It was hypothesized that more traumatized people are less supportive of social reconstruction and that this relationship is mediated by the changed worldview. Method: The study included a community random sample of 333 adults in the city of Vukovar, Croatia, that was most devastated during the 1991–1995 war. Six instruments were administered: Stressful Events Scale, Impact of Event Scale-Revised, Changed Worldview Scale, and three scales measuring the post-conflict social reconstruction processes: Intergroup Rapprochement, Intergroup Trust and Need for Apology. Results: Mediation analyses showed that the worldview change fully mediated between traumatization and all three aspects of social reconstruction. Conclusions: In a population exposed to war traumatization the worldview change mediates post-conflict social recovery of community relations

High Spatial Resolution Fast-Neutron Imaging Detectors for Pulsed Fast-Neutron Transmission Spectroscopy

Two generations of a novel detector for high-resolution transmission imaging and spectrometry of fast-neutrons are presented. These devices are based on a hydrogenous fiber scintillator screen and single- or multiple-gated intensified camera systems (ICCD). This detector is designed for energy-selective neutron radiography with nanosecond-pulsed broad-energy (1 - 10 MeV) neutron beams. Utilizing the Time-of-Flight (TOF) method, such a detector is capable of simultaneously capturing several images, each at a different neutron energy (TOF). In addition, a gamma-ray image can also be simultaneously registered, allowing combined neutron/gamma inspection of objects. This permits combining the sensitivity of the fast-neutron resonance method to low-Z elements with that of gamma radiography to high-Z materials.Comment: Also published in JINST: http://www.iop.org/EJ/abstract/1748-0221/4/05/P0501

A reference map of potential determinants for the human serum metabolome

The serum metabolome contains a plethora of biomarkers and causative agents of various diseases, some of which are endogenously produced and some that have been taken up from the environment(1). The origins of specific compounds are known, including metabolites that are highly heritable(2,3), or those that are influenced by the gut microbiome(4), by lifestyle choices such as smoking(5), or by diet(6). However, the key determinants of most metabolites are still poorly understood. Here we measured the levels of 1,251 metabolites in serum samples from a unique and deeply phenotyped healthy human cohort of 491 individuals. We applied machine-learning algorithms to predict metabolite levels in held-out individuals on the basis of host genetics, gut microbiome, clinical parameters, diet, lifestyle and anthropometric measurements, and obtained statistically significant predictions for more than 76% of the profiled metabolites. Diet and microbiome had the strongest predictive power, and each explained hundreds of metabolites-in some cases, explaining more than 50% of the observed variance. We further validated microbiome-related predictions by showing a high replication rate in two geographically independent cohorts(7,8) that were not available to us when we trained the algorithms. We used feature attribution analysis(9) to reveal specific dietary and bacterial interactions. We further demonstrate that some of these interactions might be causal, as some metabolites that we predicted to be positively associated with bread were found to increase after a randomized clinical trial of bread intervention. Overall, our results reveal potential determinants of more than 800 metabolites, paving the way towards a mechanistic understanding of alterations in metabolites under different conditions and to designing interventions for manipulating the levels of circulating metabolites.The levels of 1,251 metabolites are measured in 475 phenotyped individuals, and machine-learning algorithms reveal that diet and the microbiome are the determinants with the strongest predictive power for the levels of these metabolites

Exploring malignancies: Narcissism and paranoia today

Lasch's (1978) study of the 'culture of narcissism' is discussed as a model socio-psychoanalytic inquiry. However, in fragmented societies, the search for an encompassing diagnosis is less useful than a strategy of identifying states of mind active in specific situations. In studying more malignant phenomena, paranoid states are important, especially in their combination with narcissism. Hofstadter's (1964) essay on the paranoid 'style' is a key reference point. Comparing Lasch and Hofstadter invites a consideration of broad issues concerning the relations between culture and psyche, and between leaders and followers. The paper ends with a short commentary on narcissistic and paranoid states of mind in the case of President Trump

The Shadows of the Past

We examined associations between two orientations based on historical group trauma, a form of enduring group victimhood (Perpetual Ingroup Victimhood Orientation [PIVO]) and the belief that one’s group might itself become a victimizer (Fear of Victimizing [FOV]), and attitudes, cognitions, and emotions related to intergroup conflicts. PIVO was positively and FOV was negatively related to aggressive attitudes and emotions toward the outgroup (Studies 1a-1c, Israeli–Palestinian conflict), and to the attribution of responsibility for a series of hostilities to the outgroup (Study 3, Israeli–Palestinian conflict). PIVO was negatively and FOV positively related to support for forgiveness and reconciliation (Study 2, Northern Ireland conflict). In Experimental Study 4, FOV predicted greater accuracy in remembering harm, regardless of victims’ group identity, whereas PIVO was associated with reduced accuracy only when victims were Palestinians (outgroup members). Taken together, these findings indicate that both orientations have a significant impact on intergroup conflicts and their resolution