Does Partisan Bias Modulate Neural Processing of Political Information? An Analysis of the Neural Correlates of Corruption and Positive Messages

Daily worldwide newspapers print articles exposing government corruption. Yet these messages do not lead to a loss of votes for the corrupt parties. Sympathizers’ partisan bias, which respectively minimizes and maximizes corruption and positive messages of their own parties respectively, is widely considered the main cause of the loss of effectiveness of political communications. Despite the well-established existence of such bias when processing political information, little is known as to its psychological origin. Through the use of neuroscience (fMRI), this study explores the underlying brain mechanisms of negative (corruption) and positive political messages related to a conservative and a socialist Spanish political party, as well as the differences between their sympathizers. The findings reveal that negative (vs. positive) political messages exert the greatest neuroimaging impact on the electorate, as shown in aversive, risk, and disappointment-related brain regions. Interestingly, we show that there exists a main partisan bias against opposite parties (and not a positive bias toward one’s own party) that stems from a higher risk, ambiguity, and disbelief provoked by both positive and negative information about rival parties. Furthermore, this bias was more pronounced among conservative supporters. The current findings provide valuable insights for political parties to improve their communication campaigns.     

Truth Without Reference: The Use of Fictional Names

Topoi - Singular terms without referents are called empty or vacuous terms. But not all of them are equally empty. In particular, not all proper names that fail to name an existing object fail in...     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.     

Feeling time in nature: The influence of directed and undirected attention on time awareness

In the present study, we examined the impact of the interaction of environmental and task-induced attentional focus on time perception, specifically awareness of the time flow. We tested 48 participants in either a natural or urban setting over three 25- to 35-min sessions. We manipulated the within-subjects factor task by means of two tasks—one requiring directed attention on the task itself, the other undirected attention on the environment—alongside a control condition with no specific task. We measured time awareness, passage of time judgments, felt time judgments, and estimated time as dependent variables. For time awareness, we found an interaction between environment and task: in the natural environment, only a task requiring directed attention reduced time awareness; whereas, in the urban environment, both tasks reduced time awareness compared to the control condition. The results suggest that natural environments increase time awareness unless we focus our attention on a task.     

Does cognitive reflection mediate the math gender gap at university admission in Chile?

Social Psychology of Education - In Chile, a vast and persistent gender gap in math performance at university admission has negative consequences for women’s opportunities. International...     

Effect of social organisation on interspecific differences in overmarking behaviour of foals in African equids

Animal Cognition - Overmarking remains an unstudied topic in juvenile mammals. We have previously documented a very high rate of overmarking by foals in four captive African equid species: mountain...     

Correction to: Effects of reward magnitude and training frequency on the learning rates and memory retention of the Port Jackson shark Heterodontus portusjacksoni

Animal Cognition - In the original publication of the article, the Fig. 4 was erroneously published.     

阅读中自然学习生词的实验研究

本研究对儿童阅读时从语境中自然学习生词的过程及其多个影响因素进行了探讨。301名三、五年级小学生参加了实验。首先要求他们阅读文章,然后测验他们对文章中生词的知识。本研究在不同年级和能力的儿童中都发现了显著的自然学习效应。结果还表明,词的概念难度、词结构的语义透明度、语境线索强度和儿童课外阅读量对儿童的自然学习有重要影响。     

Self-reported competences and problems in Spanish adolescents: a normative study of the YSR

The aim of the study was to provide a standardization of self-reported competences and emotional/behavioural problems in Spanish adolescents, using the Achenbach's Youth Self-Report (YSR), and to compare our results to those from other countries. The YSR was completed by 2822 adolescents aged 11-18 years, recruited from secondary schools in two regions of Spain. There were significant differences in Total behaviour problems and in most problem scales in boys and girls, scoring boys higher on externalizing syndromes, whereas girls score higher on internalizing syndromes . Males' mean scores were higher than females' scores for social competence. Age effects also showed significant differences with respect to internalizing problems, thought problems, social problems and depression. Cut-off points based on the 90th and 98th percentile developed from this sample are presented for the competences and the problem scales. To test the overall range of variations across cultures, comparisons were made between broad band and narrow band measures of the YSR in Spanish adolescents and those from other countries. Gender differences in the YSR were similar to those found across different cultures; there is a consistent trend to increase behavioural problems with age; and social competence seem to be a relevant protective factor against behavioural problems.     

Personality factors in relation to violent crimes

The personalities of a group of 54 persons (51 men and 3 women), imprisoned for the perpetration of violent crimes, were evaluated. The results were then compared to a normative group. This study considers personality factors and dimensions on three levels: (a) Basic factors: the "Big Five", (b) Personality disorders and clinical syndromes, (c) Personality dimensions related to personal wellbeing and social adaptation said to define a psychologically healthy individual. The results of the study show that it is not possible to define a basic personality profile for this group of violent delinquents based on the "Big Five" factors. It is, however, possible to find two habitual patterns of behaviour if the Millon Model (1990) is applied. These two behaviour patterns and attitudes towards life situations will be named "Dependent with compulsive traits" and "Psychopath tendencies". Both relate to indicators of mental health.