Who's in power matters: System justification and system derogation in Hungary between 2002 and 2018

The present study employed European Social Survey (ESS) data collected between 2002 and 2018 to investigate system justification versus derogation in Hungary. In all nine ESS rounds, system derogation was stronger than system justification. System justification was consistently at its strongest among those who had voted for the ruling party, be it left-wing MSZP (until 2008) or right-wing Fidesz (2010 onward). This pattern can be explained by ego and group justification motives alone, with no need to posit an autonomous system justification motive. Voters of Jobbik, who were as right-wing as Fidesz voters, but whose party was not in power, did not believe the system to be any more just than did left-wing voters. Much of the research supporting system justification theory has been conducted in stable Western democracies. Our results highlight the need for research in more politically volatile contexts.     

What makes displaced revenge taste sweet: Retributing displaced responsibility or sending a message to the original perpetrator?

The present research investigates the psychological dynamics underlying displaced revenge. We examine (1) the effect of entitativity on displaced revenge tendencies, including potential mediators of this effect, and (2) the conditions under which taking displaced revenge is satisfying for avengers. In three studies, we show that (a) perpetrator group entitativity predicts the tendency to take displaced revenge via perceptions that the vengeful action is effective in delivering a message to the original perpetrator, (b) that displaced revenge is satisfying when the group continues to exist in its original form, but not when the perpetrator has left the group or when the group has dissolved, and (c) that displaced revenge is most satisfying when both the original perpetrator and the target of revenge understand why revenge has been taken. These findings imply that sending a message to the original perpetrator is an important aspect of the psychological dynamics underlying displaced revenge.     

Dissonance and abstraction: Cognitive conflict leads to higher level of construal

This study investigated the effects of cognitive conflict on abstract thinking. According to action‐identification theory, an ambiguous and unfamiliar situation might propel an individual to a more abstract mindset. Based on this premise, cognitive conflict was hypothesized to put people in an abstract mindset. The induced compliance paradigm, in which participants are asked to write a counter‐attitudinal essay under either low choice (producing little dissonance) or high choice (producing more dissonance), was employed. Results showed that an abstract mindset was in fact activated in the induced compliance paradigm, and this effect was more pronounced for participants having a more concrete mindset to begin with. The results suggest that the experience of cognitive conflict is closely related to increased abstraction.     

Simultaneous utilization of multiple cues in judgments of learning

There is much evidence that metacognitive judgments, such as people’s predictions of their future memory performance (judgments of learning, JOLs), are inferences based on cues and heuristics. However, relatively little is known about whether and when people integrate multiple cues in one metacognitive judgment or focus on a single cue without integrating further information. The current set of experiments systematically addressed whether and to what degree people integrate multiple extrinsic and intrinsic cues in JOLs. Experiment 1 varied two cues: number of study presentations (1 vs. 2) and font size (18 point vs. 48 point). Results revealed that people integrated both cues in their JOLs. Experiment 2 demonstrated that the two word characteristics concreteness (abstract vs. concrete) and emotionality (neutral vs. emotional) were integrated in JOLs. Experiment 3 showed that people integrated all four cues in their JOLs when manipulated simultaneously. Finally, Experiment 4 confirmed integration of three cues that varied on a continuum rather than in two easily distinguishable levels. These results demonstrate that people have a remarkable capacity to integrate multiple cues in metacognitive judgments. In addition, our findings render an explanation of cue effects on JOLs in terms of demand characteristics implausible.     

On the origin of worries about modern health hazards: Experimental evidence for a conjoint influence of media reports and personality traits

Objective: Worries about health threatening effects of potential health hazards of modern life (e.g. electric devices and pollution) represent a growing phenomenon in Western countries. Yet, little is known about the causes of this growing special case of affective risk perceptions termed Modern Health Worries (MHW). The purpose of this study is to examine a possible role of biased media reports in the formation of MHW.

Design: In two experiments, we investigated whether typical television reports affect MHW. In Study 1, 130 participants were randomly assigned to a film on idiopathic environmental intolerance (IEI) or a control film about cystic fibrosis. In Study 2, 82 participants were randomly assigned to either a film on the dangers of electromagnetic fields or a control condition.

Main outcome measures: Increases in MHW after sensational media reports.

Results: In Study 1, only participants high on the personality trait of absorption revealed increased MHW after watching the IEI film. In Study 2, specifically worries about radiation were found to be elevated after watching the film on the dangers of electromagnetic fields compared to the control film.

Conclusion: The results of both studies reveal a significant and specific influence of sensational short mass media reports on MHW. The influence of potential moderators such as absorption remains to be clarified.     

Integration processes during frequency graph comprehension: Performance and eye movements while processing tree maps versus pie charts

Frequency graph types differ in the way how data are translated into visual representations. We compared 2 visualization methods, a traditional circular representation (pie chart) and a rectangular representation (constant column width tree map), which were hypothesized to differ regarding the cognitive ease of visual comparison processes. Performance was evaluated in tasks involving proportion and comparison judgments under both highly controlled and more realistic circumstances. The results showed performance benefits (in terms of reduced response times or error rates) for rectangular representations. Additional eye movement analyses revealed that this benefit was mainly due to a facilitation of scanning the graph for relevant information. The results suggest that facilitating comparison processes by representing the critical variable in less complex visual dimensions (i.e., straight length with constant orientation instead of surface area or curved length) eventually enhances the efficiency of integration processes during graph comprehension.     

Two types of debunking arguments

Debunking arguments are arguments that seek to undermine a belief or doctrine by exposing its causal origins. Two prominent proponents of such arguments are the utilitarians Joshua Greene and Peter Singer. They draw on evidence from moral psychology, neuroscience, and evolutionary theory in an effort to show that there is something wrong with how deontological judgments are typically formed and with where our deontological intuitions come from. They offer debunking explanations of our emotion-driven deontological intuitions and dismiss complex deontological theories as products of confabulatory post hoc rationalization. Through my discussion of Greene and Singer’s empirically informed debunking of deontology, I introduce the distinction between two different types of debunking arguments. The first type of debunking argument operates through regular undercutting defeat, whereas the second type relies on higher-order evidence. I argue that the latter type of debunking argument, of which the argument from confabulation is an example, is objectionably sloppy and therefore inadmissible in academic discussion.     

Autobiographical remembering regulates emotions: a functional perspective

Emotional deviation has been considered an essential factor in emotion regulation, in that, attempts to compensate for the deviation is reflected on cognitive processes. In the present study, we focused on autobiographical remembering and tested the functional role of memory on emotion regulation. We specifically examined the congruence effect in individuals’ subsequent memory reports after recalling emotional events. Individuals were randomly assigned to three groups to report either sadness or anger evoking events or emotionally unspecified events that they experienced in the last five years. Results supported mood-incongruence, but only for the emotional memory groups. Despite highly negative memories reported in the initial recall, individuals in anger- and sad-memory groups revealed an up-regulation trend in subsequent recall. Furthermore, sadness and anger induction affected phenomenological features of the subsequently reported memory. Overall, our findings supported for the emotion regulation function of remembering that serves counter-regulation of the negative emotion. We discuss potential mechanisms in the light of explanations by a functional approach to autobiographical memory.     

Naïve and Robust: Class‐Conditional Independence in Human Classification Learning

Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class‐conditional independence of features. This feature independence assumption simplifies the inference problem, allows for informed inferences about novel feature combinations, and performs robustly across different statistical environments. We designed a new Bayesian classification learning model (the dependence‐independence structure and category learning model, DISC‐LM) that incorporates varying degrees of prior belief in class‐conditional independence, learns whether or not independence holds, and adapts its behavior accordingly. Theoretical results from two simulation studies demonstrate that classification behavior can appear to start simple, yet adapt effectively to unexpected task structures. Two experiments—designed using optimal experimental design principles—were conducted with human learners. Classification decisions of the majority of participants were best accounted for by a version of the model with very high initial prior belief in class‐conditional independence, before adapting to the true environmental structure. Class‐conditional independence may be a strong and useful default assumption in category learning tasks.     

Generalized Information Theory Meets Human Cognition: Introducing a Unified Framework to Model Uncertainty and Information Search

Searching for information is critical in many situations. In medicine, for instance, careful choice of a diagnostic test can help narrow down the range of plausible diseases that the patient might have. In a probabilistic framework, test selection is often modeled by assuming that people's goal is to reduce uncertainty about possible states of the world. In cognitive science, psychology, and medical decision making, Shannon entropy is the most prominent and most widely used model to formalize probabilistic uncertainty and the reduction thereof. However, a variety of alternative entropy metrics (Hartley, Quadratic, Tsallis, Rényi, and more) are popular in the social and the natural sciences, computer science, and philosophy of science. Particular entropy measures have been predominant in particular research areas, and it is often an open issue whether these divergences emerge from different theoretical and practical goals or are merely due to historical accident. Cutting across disciplinary boundaries, we show that several entropy and entropy reduction measures arise as special cases in a unified formalism, the Sharma–Mittal framework. Using mathematical results, computer simulations, and analyses of published behavioral data, we discuss four key questions: How do various entropy models relate to each other? What insights can be obtained by considering diverse entropy models within a unified framework? What is the psychological plausibility of different entropy models? What new questions and insights for research on human information acquisition follow? Our work provides several new pathways for theoretical and empirical research, reconciling apparently conflicting approaches and empirical findings within a comprehensive and unified information‐theoretic formalism.