Pension Participants’ Attitudes, Beliefs, and Emotional Responses to the New Dutch Pension System

As of 2022, the Dutch pension system will be overhauled. The success of this as well as other pension reforms also depends on how participants react to and accept such changes. We therefore studied participants’ attitudes, beliefs, and emotions toward the new pension system. We composed a text to inform them about the new system and qualitatively analyzed their responses. We investigated which beliefs and attitudes prevail among different age groups. The results show that many participants base their comments on previous experiences, misconceptions and (sometimes false) interpretations of the information in the text. Moreover, we find that young people are more optimistic, whilst older participants tend to feel victimized. Since the new Dutch pension rules have yet to be introduced, the results of our study contain valuable information for policymakers and pension funds who should acknowledge and address the oftentimes intense emotions, beliefs, and attitudes that influence the way that intentionally neutral information is perceived and accepted. A diversified communication strategy, mindful of different beliefs, emotions and attitudes among participants should help to empower citizens to get insight in their financial situation after retirement and to make informed choices.

The prediction-error hypothesis of schizophrenia: new data point to circuit-specific changes in dopamine activity

Schizophrenia is a severe psychiatric disorder affecting 21 million people worldwide. People with schizophrenia suffer from symptoms including psychosis and delusions, apathy, anhedonia, and cognitive deficits. Strikingly, schizophrenia is characterised by a learning paradox involving difficulties learning from rewarding events, whilst simultaneously ‘overlearning’ about irrelevant or neutral information. While dysfunction in dopaminergic signalling has long been linked to the pathophysiology of schizophrenia, a cohesive framework that accounts for this learning paradox remains elusive. Recently, there has been an explosion of new research investigating how dopamine contributes to reinforcement learning, which illustrates that midbrain dopamine contributes in complex ways to reinforcement learning, not previously envisioned. This new data brings new possibilities for how dopamine signalling contributes to the symptomatology of schizophrenia. Building on recent work, we present a new neural framework for how we might envision specific dopamine circuits contributing to this learning paradox in schizophrenia in the context of models of reinforcement learning. Further, we discuss avenues of preclinical research with the use of cutting-edge neuroscience techniques where aspects of this model may be tested. Ultimately, it is hoped that this review will spur to action more research utilising specific reinforcement learning paradigms in preclinical models of schizophrenia, to reconcile seemingly disparate symptomatology and develop more efficient therapeutics.

Political Leaders’ Communication: A Twitter Sentiment Analysis during Covid-19 Pandemic

<p class="Default"><em><span>The pandemic made it critical for political leaders to intensify measures in fight against Covid-19 and one such measure was building trust among public through communication. With exponential growth in reach of social media, while state political leaders have progressively used internet for election campaigns, limited studies have explored as to how leaders use this medium to communicate during crisis, what kind of information do they share and what are common issues addressed. This paper, using qualitative research design, analyses Indian political leaders’ communication on Twitter. Sentiment Analysis was carried to identify and extract subjective information in leaders’ communication using 29 Indian political leaders, wherein 12,128 tweets were extracted. Subjectivity scores depicted more than half of leaders had shared fact-based information, and Polarity scores indicated that almost 90% of leaders shared positive or neutral information thus leading to an inference that leaders share more of facts based and positive or neutral information rather than statements in form of opinions.</span></em></p>

The Audience-Tuning Effect of Negative Stereotypes in Communication

Shared reality theory states that people allow others to influence their own judgments and behaviors when a shared reality is achieved (Hardin and Higgins, 1996; Echterhoff et al., 2009a). Based on this theory, this research has explored how audience attitude affects the communicator’s memory of negative stereotype-related information in interpersonal communication. Two experiments have been conducted, using the negative stereotypes of Chinese “rich second-generation” as the research materials. The results show that the audience-tuning effect of negative stereotypes does in fact occur in interpersonal communication. The participants have tuned their descriptions of both stereotype-related and neutral information to suit their audience’s attitude toward the target. The audience-tuning affects the participants’ recall valence of stereotype-related information while not affecting the recall valence of neutral information. The relational motivation moderates the effect of audience-tuning on the communicator’s memory of stereotype-related information. Only participants who communicated with a desired audience displayed an audience-congruent memory bias of stereotype-related information. The results of this research reveal the bidirectional nature of stereotype-sharedness in interpersonal communication. In actual interpersonal communication, the audience could express a positive attitude toward the target who suffers from negative stereotypes, and the communicator would then convey and recall the stereotype-related information in a more positive manner based on the audience-tunning effect, which could ultimately help to decrease negative stereotypes in communication.

Children’s Informant Judgments and Recall of Valenced Facts at a Science Center

In laboratory-based research, children recognize who is an expert and demonstrate an interest in learning from that person. However, children prefer positive information in the moment and sometimes prioritize positivity over expertise. To what extent do these social judgments (e.g., a preference for positivity) relate to information that children remember? We investigated the relation between these judgments and memory at a local science center to better understand children’s learning outcomes in naturalistic settings. We examined the extent to which 4- to 8-year-olds accepted facts about an unfamiliar animal from a zookeeper informant (i.e., expert) and a maternal figure (i.e., non-expert) when these facts were positive, negative, or neutral. Children endorsed positive information as correct, regardless of expertise, but demonstrated the strongest memory for neutral information. We discuss the implications of this dissociation for learning outcomes in naturalistic contexts as well as theoretical frameworks regarding children’s learning from others.

Multi-attribute decision-making method based on normal T-spherical fuzzy aggregation operator

T-spherical fuzzy numbers (FNs), which add an abstinence degree based on membership and non-membership degrees, can express neutral information conveniently and have a considerable large range of information expression. The normal FNs (NFNs) are very available to characterize normal distribution phenomenon widely existing in social life. In this paper, we first define the normal T-SFNs (NT-SFNs) which can combine the advantages of T-SFNs and NFNs. Then, we define their operational laws, score value, and accuracy value. By considering the interrelationship among multi-input parameters, we propose the Maclaurin symmetric mean operator with NT-SFNs (NT-SFMSM) and its weighted form (NT-SFWMSM). Furthermore, we study some characteristics and special cases of them. Based on the NT-SFWMSM operator, we put forward a novel multi-attribute decision-making (MADM) approach. Finally, some numerical examples are conducted to prove that the proposed approach is valid and superior to some other existing methods.

Multitasking and correction of false information

Research shows that high levels of media multitasking (either situationally induced or chronic) may be associated with a decreased cognitive function. Since cognitive capacity is required for efficient correction of one’s judgment after learning that the judgement base is no longer valid, we expected that high levels of media multitasking would decrease one’s ability to adequately update their beliefs. We ran two studies in which participants were asked to form an impression of a target person based on their online profile from a professional networking site. The profile contained either neutral information (control condition) or negative comment from a former supervisor which was later debunked (false information conditions). We additionally manipulated media multitasking demands (in Study 1) or measured participants’ frequency of media multitasking (Study 2) and tested whether the level of media multitasking is related to the degree to which the initial attitudes were adjusted after learning that the negative comment was false. We found a significant but rather small effect of manipulation in Study 1 indicating that participants in both multitasking conditions had more negative attitudes after correction compared to the baseline, but not to the mono-tasking condition. Crucially, media multitasking demands did not impact attitude adjustment. Results of Study 2 showed that the relationship between media multitasking frequency measured with a scale and attitude adjustment were non-significant. Overall, the current findings suggest that media multitasking, experimentally manipulated or chronic, plays a negligible role in correction after misinformation.

Modular Web Portal Approach for Stimulating Home Renovation: Lessons from Local Authority Developments

Web portals have the potential to promote sustainable environmental ideas due to the capacity of digital media, such as easy accessibility, openness, and networking. Local authorities (LAs) are responsible for activating carbon savings in homes, and they are key actors when it comes to providing neutral information to their citizens. Local authority web portals may thus create environmental awareness, particularly regarding owner-occupied single-family home renovation. Nevertheless, the experiences of LAs developing web portals have rarely been studied. Therefore, this paper analyses the development process of various LA web modules and investigates how LAs foster modular web portals to stimulate the adoption of home renovation with parameters to assess LAs’ actions in terms of the management of web-modules development. A homeowner renovation journey model is applied to map current local authority developments. Case study research and interviews were done to analyse and evaluate the adoption of modular web portals developed and tested by six local authorities in four countries in Europe. Based on the development and use of the modular web portal, lessons have been derived emphasising the importance of co-creation, integrating with offline activities, and a strategic management plan.