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Objectives: Previous research suggests that governments usually gain support during crises such as the Covid‐19. However, these findings are based on rating scales that only allow us to measure the strength of this support. This article proposes a new measure of how voters evaluate Prime Ministers (PM) by asking for descriptive keywords that are analyzed by natural language processing. Methods: By collecting a representative sample of citizens' own key words describing their PM in 15 countries in Europe during the outbreak of Covid‐19, and analyzing these by latent semantic analysis and a multiple OLS regression, we could quantify the strength and direction of voters' view. Results: The strength analysis supported previous studies that describing the PM with positive words was strongly associated with vote intention. Furthermore, a change in the direction of the attitudes from "good" to "honest" was found. A new finding was that the pandemic was associated with an increase in polarization. Conclusions: The keyword evaluation analysis provides opportunities of evaluating both strength and direction of voters' view of their PM, where we show new results related to increased polarization and shift in the direction of attitudes. [ABSTRACT FROM AUTHOR]

Four studies developed and validated two dictionaries to capture agentic and communal expressions in natural language. Their development followed the Linguistic Inquiry and Word Count (LIWC) approach (Study 1) and we tested their validity with frequency‐based analyses and semantic similarity measures. The newly developed Agency and Communion dictionaries were aligned with LIWC categories related to agency and communion (Study 2), and corresponded with subjective ratings (Study 3), confirming their convergent validity. Very low or absent correspondence between proposed dictionaries and unrelated LIWC categories demonstrated their discriminant validity (Study 2). Finally, we applied both dictionaries to language used in advertisements. In correspondence to gender stereotypes, male‐dominated jobs were advertised with more agentic than communal words, and female‐dominated jobs with more communal than agentic words (Study 4). Both dictionaries represent reliable tools for quantifying agentic and communal content in natural language, and will improve and facilitate future research on agency and communion. [ABSTRACT FROM AUTHOR]

ABSTRACT Choice blindness is the finding that participants both often fail to notice mismatches between their decisions and the outcome of their choice and, in addition, endorse the opposite of their chosen alternative. But do these preference reversals also carry over to future choices and ratings? To investigate this question, we gave participants the task of choosing which of a pair of faces they found most attractive. Unknown to them, we sometimes used a card trick to exchange one face for the other. Both decision theory and common sense strongly suggest that most people would easily notice such a radical change in the outcome of a choice. But that was not the case: no more than a third of the exchanges were detected by the participants. We also included a second round of choices using the same face pairs, and two stages of post-choice attractiveness ratings of the faces. This way we were able to measure preference strength both as choice consistency and by looking at measures of rating differences between chosen and rejected options. We found that the initially rejected faces were chosen more frequently in the second choice, and the perceived attractiveness of these faces was increased even in uncoupled individual ratings at the end of the experiment. This result is discussed in relation to Chen and Risen's recent criticism of the Free Choice Paradigm, as it shows that choices can affect future preferences. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Background: Noise is typically conceived of as being detrimental to cognitive performance. However, given the mechanism of stochastic resonance, a certain amount of noise can benefit performance. We investigate cognitive performance in noisy environments in relation to a neurocomputational model of attention deficit hyperactivity disorder (ADHD) and dopamine. The Moderate Brain Arousal model (MBA; Sikström & Söderlund, 2007 ) suggests that dopamine levels modulate how much noise is required for optimal cognitive performance. We experimentally examine how ADHD and control children respond to different encoding conditions, providing different levels of environmental stimulation. Methods: Participants carried out self-performed mini tasks (SPT), as a high memory performance task, and a verbal task (VT), as a low memory task. These tasks were performed in the presence, or absence, of auditory white noise. Results: Noise exerted a positive effect on cognitive performance for the ADHD group and deteriorated performance for the control group, indicating that ADHD subjects need more noise than controls for optimal cognitive performance. Conclusions: The positive effect of white noise is explained by the phenomenon of stochastic resonance (SR), i.e., the phenomenon that moderate noise facilitates cognitive performance. The MBA model suggests that noise in the environment, introduces internal noise into the neural system through the perceptual system. This noise induces SR in the neurotransmitter systems and makes this noise beneficial for cognitive performance. In particular, the peak of the SR curve depends on the dopamine level, so that participants with low dopamine levels (ADHD) require more noise for optimal cognitive performance compared to controls. [ABSTRACT FROM AUTHOR]

An item that stands out (is isolated) from its context is better remembered than an item consistent with the context. This isolation effect cannot be accounted for by increased attention, because it occurs when the isolated item is presented as the first item, or by impoverished memory of nonisolated items, because the isolated item is better remembered than a control list consisting of equally different items. The isolation effect is seldom experimentally or theoretically related to the primacy or the recency effects—that is, the improved performance on the first few and last items, respectively, on the serial position curve. The primacy effect cannot easily be accounted for by rehearsal in short‐term memory because it occurs when rehearsal is eliminated. This article suggests that the primacy, the recency, and the isolation effects can be accounted for by experience‐dependent synaptic plasticity in neural cells. Neurological empirical data suggest that the threshold that determines whether cells will show long‐term potentiation (LTP) or long‐term depression (LTD) varies as a function of recent postsynaptic activity and that synaptic plasticity is bounded. By implementing an adaptive LTP‐LTD threshold in an artificial neural network, the various aspects of the isolation, the primacy, and the recency effects are accounted for, whereas none of these phenomena are accounted for if the threshold is constant. This theory suggests a possible link between the cognitive and the neurological levels. [ABSTRACT FROM AUTHOR]

Abstract: We used quantitative semantics to find clusters of words in LinkedIn users’ self‐descriptions to an employer or a friend. Some of these clusters discriminated between worker and friend conditions (e.g., flexible vs. caring) and between LinkedIn users with high and low education (e.g., analytical vs. messy). [ABSTRACT FROM AUTHOR]