Stronger than partisanship and motivated reasoning: news exposure and news frames predicting US state-level preventive behaviours against COVID-19

The COVID-19 pandemic has become a partisan issue rather than an independent public health issue in the US. This study examined the behavioural consequences of motivated reasoning and framing by investigating the impacts of COVID-19 news exposure and news frames, as apparent through a Latent Dirichlet topic modelling analysis of local news coverage, on state-level preventive behaviours as understood through a nationally representative survey. Findings suggested that the media effects on various preventive behaviours differed. The overall exposure rate to all COVID-19 news articles increased mask-wearing but did not significantly impact other preventive behaviours. Four news frames significantly increased avoiding contact or avoiding public or crowded places. However, news articles discussing anxiety and stay at home order triggered resistance and countereffects and led to risky behaviours. ‘Solid Republican' state residents were less likely to avoid contact, avoid public or crowded places, and wear masks. However, partisan leanings did not interfere with the impact of differing local COVID-19 news frames on reported preventive behaviours. Plus, statements regarding pre-existing trust in Trump did not correlate with reported preventive behaviour. Attention to effect sizes revealed that news exposure and news frames could have a bigger impact on health behaviours than motivated reasoning.

The effects of online restaurant menus on consumer purchase intention: evidence from an emerging economy

PurposeThis study evaluates the impact of online menus and perceived convenience of online food ordering on consumer purchase intention and shows how a desire for food creates a relationship between an online menu and a customer's purchase intention. Suggestions for management are proposed to design an effective menu to improve business performance in the competitive market in Vietnam.Design/methodology/approachThe paper follows a quantitative method. Quantitative research aims to analyze and critically evaluate the research question(s) to discover new factors.FindingsFindings indicate a positive relationship between menu visual appeal (MV), menu informativeness (MI), desire for food (DF), the perceived convenience (PC) of ordering food online and intention to purchase (PI). The attractiveness of images and information is a significant factor affecting diners' desire to eat, while the demand for food and the convenience of ordering food online are also factors affecting purchase intention.Practical implicationsThe study confirms the importance of online menus to purchase intention. Economically, when supply and demand are reasonable, the market is stable and technology develops. In terms of social, hygiene, attractiveness and price factors, it is helpful to have an overview. Research is the premise for further studies with factors from menu to customer trust.Originality/valueThe study provides a solid foundation for further studies on restaurant menu elements as well as a new perspective on how restaurants improve their dishes.

New Paradigm: HR Professional Transformation in Manufacturing Company: Acces la Success

This study aimed to optimize the line managers performances in the human resources (HR) division in answering the role of the HR management function problem in Medan City Manufacturing Company. The novelty proposed is a concept of HR management called "Human Resources Professional Transformation". Specifically, this concept discussed the ability of HR division line managers to make adaptive changes to the company's business-oriented functional divisions with managerial competence, commitment, innovation capability, and readiness for changes towards work performance. The population of this research was the line manager of the HR division, totaling 185 respondents. The sampling technique used a probability sampling approach with simple random sampling through the slovin formula, totaling 126 respondents. The analytical tool used is structural equation software through the SmartPLS application program. The results showed that managerial competence, commitment, innovation capability had a positive and significant effect through the HR professional transformation on the performance of line managers in the HR division. Meanwhile, readiness for change has a positive and insignificant effect on the HR Professional Transformation. Readiness for change also has a positive and insignificant effect on the Line Managers Performances in the Human Resources Division through HR Professional Transformation. Based on the suitability test of the research model, it proved that the HR Professional Transformation can answer the problem of the role of the management function to improve the line managers performances in the HR division with managerial competence, commitment, innovation capability, and readiness for change of 0.907.

Over-ordering and food waste: The use of food delivery apps during a pandemic

There is a paucity of research on the role of food delivery apps (FDAs) in food waste generation. This gap needs to be addressed since FDAs represent a fast-growing segment of the hospitality sector, which is already considered to be a key food waste generator globally. Even more critically, FDAs have become a prominent source of ordering food during the COVID-19 pandemic. In addition, the growing usage of FDAs warrants an improved understanding of the complexities of consumer behavior toward them, particularly during a health crisis. The present study addresses this need by examining the antecedents of FDA users' food ordering behavior during the pandemic that can lead to food waste. The study theorizes that hygiene consciousness impacts the enablers and barriers to FDA usage, which, in turn, shape the attitude toward FDAs and the tendency to order more food than required, i.e., shopping routine. The conceptual model, based on behavioral reasoning theory, was tested using data collected from 440 users of FDAs during the pandemic. The results support a positive association of trust and price advantage with attitude, but only of trust with shopping routine. Perceived severity and moral norms did not moderate any associations. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Verification and validation of a framework for collaborative BIM implementation, measurement and management (CIMM)

PurposeThe purpose of this research is to develop through a two-stage verification and validation process a novel implementation framework for collaborative BIM, utilising experts from academia and industry as well as a real-world case study project.Design/methodology/approachThe aim of this research was to build upon previous research findings by the authors in order to develop an implementation framework that stems from ousting the inefficiencies of current collaborative BIM practices. This is achieved by a more objectified and quantified approach towards seeking heightened transparency and objectivism of what is required through the implementation of BIM. The mixed research methods technique of both qualitative and quantitative data collection was utilised, with the structure consisting of a two-stage approach utilising the Delphi model for verification and validation. This was developed to test the novelty and beneficial structure hypothesis involving 15 core BIM experts from academia, construction and design with c. 22 years average experience. Validation was undertaken on a complex, high value real world building structures project in central London, inclusive of 8 core project BIM experts. The research utilised a developed solution that mirrored and provided a more holistic representation guiding the practitioners as a project team step by step through the determination of underpinning elements, which support the goal of enhanced information requirements as well as executing the prioritisation measurement tools as part of the framework. Data ascertained at the workshop case study prioritised areas of importance that are core in supporting the delivering of these enhanced information requirements at a project delivery level, which were in order of prioritisation determined by the project team (1) constraints (39.17%), (2) stakeholder requirements (35.78%), (3) coordination (existing asset) (15.86%), (4) exchange requirements (5.38%) and (5) level of information need (3.81%). Furthermore, risk mitigations for the top three priorities were focussed on early stakeholder engagement, appropriation of survey data collection, focus on quality of outputs and applying toolsets and processes with meaning and emphasis on the defined high-level requirements.FindingsFindings show that the framework and the developed solution translate the process methodology of the framework schema into a useable and beneficial tool that provides both qualitative and quantitative inputs and outputs. Furthermore, a collective agreement on the objectives, risk mitigations and assignment of tasks in order to achieve outcomes is presented, with evidence on numerical weightings and goal achievement.Research limitations/implicationsDue to the impacts of COVID-19 on physical engagements both the verification (electronic survey questionnaire) and validation (case study project) were undertaken remotely, using available technologies and web interfaces.Practical implicationsThe case study workshop was limited to one building structures project in central London of a value of c. £70 m design and build cost that the project team (participants) were actively engaged with.Social implicationsThe social impacts of this research has resulted in the review of existing systems, methods and approaches from a wider perspective of theoretical and applied environments, which led to the development of a novel approach and framework guided by an interactive and useable solution.Originality/valueAs shown within the core findings, experts across academia and industry (design and construction) confirmed that the framework methodology and application were 100% novel, and added a benefit to the existing collaborative BIM approach. Value added is that through objectifying, weighting/prioritizing and creating a discussion supported by qualitative and quantitative reasoning the focus on what collaborative BIM is to achieve is increased, and thus the likelihood of successful implementation.

FlexiTeam: Flexible Team and Work Organization using Process-Oriented Case-Based Reasoning

During crises such as COVID-19, there is a need to adapt existing work processes and teams to the changing environment in a very flexible and dynamic way in many business and healthcare organizations. In this paper, we conceptualize the advances required for Process-Oriented Case-Based Reasoning to flexibly and dynamically organize human resources in a team and work processes. The novel contributions of this paper include an extended case representation to represent resources, profiles, and key performance indicators (KPIs) of processes, a query definition which covers the "context”, and an overall process to flexibly and dynamically organize work processes and human resources. We evaluate the FlexiTeam process using a cooking recipe casebase and analyze the quality of the retrieval using a quality measure. We also derive the research questions that need to be addressed to fully explore this approach and the specific difficulties involved in solving this problem. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)

Misleading Beyond Visual Tricks: How People Actually Lie with Charts

Data visualizations can empower an audience to make informed decisions. At the same time, deceptive representations of data can lead to inaccurate interpretations while still providing an illusion of data-driven insights. Existing research on misleading visualizations primarily focuses on examples of charts and techniques previously reported to be deceptive. These approaches do not necessarily describe how charts mislead the general population in practice. We instead present an analysis of data visualizations found in a real-world discourse of a significant global event - Twitter posts with visualizations related to the COVID-19 pandemic. Our work shows that, contrary to conventional wisdom, violations of visualization design guidelines are not the dominant way people mislead with charts. Specifically, they do not disproportionately lead to reasoning errors in posters' arguments. Through a series of examples, we present common reasoning errors and discuss how even faithfully plotted data visualizations can be used to support misinformation. © 2023 Owner/Author.

Human Milk Bank in Croatia: initial experiences.

Donated human milk is the best substitute for breast milk in the case when the mother cannot feed her baby. Human milk banks provide safe and high quality donated human milk. That was the reason why the Human Milk Bank was established in the Croatian Tissue and Cell Bank at the Zagreb University Hospital Centre in January 2020. The Bank works in accordance with the Law on the Application of Human Tissues and Cells. In this paper, we present the results of the Bank work since from its opening until June 2020. Due to logistic reasons caused by the COVID-19 epidemic and the earthquake in Zagreb, the Human Milk Bank did not collect milk for 43 days. Milk was donated by 31 mothers. Their median age was 31 years and 81% of them had high education level. In 52% of cases, mothers started donating milk three months after giving birth. Most donors donated milk only once (45%). The median period of donation was 46 days. The majority (52%) of donors gave birth for the first time, in the expected term of childbirth (94%), birth weight was >2500 g. Only three of donors' children (9%) were in intensive care. A total of 175.5 L of milk were collected (mean 5.7 L per donor), of which 151.5 L met the requirements of input quality control, and 141 L were pasteurized. A critical number of viable aerobic and facultative bacteria were identified in 32.6% of milk pools prepared for pasteurization, and 8.9% after pasteurization. For clinical use, 78.7 L were dispensed in three neonatal intensive care units. The Human Milk Bank has already shown the importance of its activities during the first months of operation. In order to be able to meet the needs for donated human milk at the national level, it is necessary to constantly inform mothers about the importance of human milk and to promote its donation.Copyright © 2020 Croatian Paediatric Society. All rights reserved.

Dangerous beliefs, effective signals

Some collective irrationalities, like epistemically and pragmatically reckless Covid skepticism, are especially dangerous. While we normally have incentives to avoid dangerous beliefs, there are cases in which the danger of a belief is valuable. This is not captured by most accounts of motivated reasoning. I argue that Covid skepticism can function as a costly signal (handicap) so as to more effectively communicate social identity and commitment.

Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk.

Objective: Obesity is a significant risk factor for adverse outcomes following coronavirus infection (COVID-19). However, BMI fails to capture differences in the body fat distribution, the critical driver of metabolic health. Conventional statistical methodologies lack functionality to investigate the causality between fat distribution and disease outcomes. Methods: We applied Bayesian network (BN) modelling to explore the mechanistic link between body fat deposition and hospitalisation risk in 459 participants with COVID-19 (395 non-hospitalised and 64 hospitalised). MRI-derived measures of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and liver fat were included. Conditional probability queries were performed to estimate the probability of hospitalisation after fixing the value of specific network variables. Results: The probability of hospitalisation was 18% higher in people living with obesity than those with normal weight, with elevated VAT being the primary determinant of obesity-related risk. Across all BMI categories, elevated VAT and liver fat (>10%) were associated with a 39% mean increase in the probability of hospitalisation. Among those with normal weight, reducing liver fat content from >10% to <5% reduced hospitalisation risk by 29%. Conclusion: Body fat distribution is a critical determinant of COVID-19 hospitalisation risk. BN modelling and probabilistic inferences assist our understanding of the mechanistic associations between imaging-derived phenotypes and COVID-19 hospitalisation risk.

How the COVID-19 pandemic affects the moral reasoning of pediatric residents and the general population.

BACKGROUND: Kohlberg's theory of moral development asserts that people progress through different stages of moral reasoning as their cognitive abilities and social interactions mature. Individuals at the lowest stage of moral reasoning (preconventional stage) judge moral issues based on self-interest, those with a medium stage (conventional stage) judge them based on compliance with rules and norms, and those at the highest stage (postconventional stage) judge moral issues based on universal principles and shared ideals. Upon attaining adulthood, it can be considered that there is stability in the stage of individuals' moral development; however, the effect of a global population crisis such as the one experienced in March 2020, when the World Health Organization (WHO) declared the COVID-19 pandemic, is unknown. The purpose of this study was to evaluate the changes in the moral reasoning of pediatric residents before and after one year of the COVID-19 pandemic and compare them with a general population group. METHODS: This is a naturalistic quasi-experimental study conducted with two groups, one comprised 47 pediatric residents of a tertiary hospital converted into a COVID hospital during the pandemic and another group comprised 47 beneficiaries of a family clinic who were not health workers. The defining issues test (DIT) was applied to the 94 participants during March 2020, before the pandemic initiated in Mexico, and later during March 2021. To assess intragroup changes, the McNemar-Bowker and Wilcoxon tests were used. RESULTS: Pediatric residents showed higher baseline stages of moral reasoning: 53% in the postconventional group compared to the general population group (7%). In the preconventional group, 23% were residents and 64% belonged to the general population. In the second measurement, one year after the start of the pandemic, the group of residents had a significant decrease of 13 points in the P index, unlike the general population group in which a decrease of 3 points was observed. This decrease however, did not equalize baseline stages. Pediatric residents remained 10 points higher than the general population group. Moral reasoning stages were associated with age and educational stage. CONCLUSIONS: After a year of the COVID-19 pandemic, we found a decrease in the stage of moral reasoning development in pediatric residents of a hospital converted for the care of patients with COVID-19, while it remained stable in the general population group. Physicians showed higher stages of moral reasoning at baseline than the general population.

Promoting medical student's clinical reasoning during COVID-19 pandemic.

PURPOSE: The development of students' clinical reasoning skills should be a consideration in the design of instruction and evaluation in medical education. In response to the coronavirus disease 2019 (COVID-19) pandemic, several changes in the medical curriculum have been implemented in promoting clinical reasoning. This study aims to explore medical students' perceptions and experiences with the clinical reasoning curriculum during the COVID-19 pandemic and determine their skills development. METHODS: The study used a mixed-method design with a concurrent approach. A cross-sectional study was conducted to compare and examine the relationship between the outcomes of the structured oral examination (SOE) and the Diagnostic Thinking Inventory (DTI). Then, the qualitative method was used. A focus group discussion using a semi-structured interview guide with open-ended questions was conducted, then the verbatim transcript was subjected to thematic analysis. RESULTS: There is an increase in SOE and DTI scores between second-year to fourth-year students. The diagnostic thinking domains and SOE are significantly correlated (r=0.302, 0.313, and 0.241 with p<0.05). The three primary themes from the qualitative analysis are perceptions regarding clinical reasoning, clinical reasoning activities, and the learning component. CONCLUSION: Even if students are still studying throughout the COVID-19 pandemic, their clinical reasoning skills can improve. The clinical reasoning and diagnostic thinking skills of medical students increase as the length of the school year increases. Online case-based learning and assessment support the development of clinical reasoning skills. The skills are supported in their development by positive attitudes toward faculty, peers, case type, and prior knowledge.

vSim® gerontology and inquiry-based learning enhancing clinical reasoning and preparation for practice

Virtual simulation use is increasing in nursing curriculum as a supplementary learning tool to prepare for professional experience placement. This research explored student perspectives of vSim® Gerontology to address learning outcomes and support preparation for practice during the COVID-19 pandemic using a descriptive convergent mixed method approach. 169 students participated in the survey. The program provided an opportunity to engage and develop clinical reasoning skills and repeated use-built confidence for professional experience placement (PEP).

Agents Dealing with Norms and Regulations

Norms influence behaviour in many ways. In situations such as the COVID-19 pandemic where the effect of policies on the spread of the virus is evaluated, this leads to disputes about their effectiveness. In order to build agent-based social simulations that give proper support for this evaluation process we need agents that properly deal with norms. In this paper we present a new agent deliberation architecture that takes more aspects of norms into account than traditional architectures have done. Dealing properly with norms means that agents can reason through the consequences of the norms, that they are used to motivate and not just constrain behaviour, and that the agents can violate the norm as well. For the former we use the ideas of perspectives on norms, while the latter is enabled through the use of values. Within our architecture we can also represent habitual behaviour, context sensitive planning, and through the use of landmarks, reactive planning. We use the example of a restaurant-size based restriction to show how our architecture works.

Insights Regarding Outcomes for Covid-19 Hospitalizations with Adult Congenital Heart Disease (Achd)

Background: As of December 2022, SARS-CoV-2 coronavirus resulted in over 6 million deaths worldwide.[1] It was realized early into the pandemic, that COVID-19 significantly impacts the Cardiovascular system. [2] Patients with pre-existing cardiovascular comorbidities were particularly at higher risk of adverse outcomes during their hospitalizations. [3] Similarly, it can be safe to assume patients with adult congenital heart disease (ACHD) should considered a high-risk population for the development of severe COVID infection with increased rates of significant cardiovascular complications. Objective(s): Based on this reasoning and the paucity of data available on this topic using a large database, we sought to investigate the outcomes of patients with ACHD who were admitted to the hospital with COVID-19. Method(s): The National Inpatient Sample database for 2020 was queried to identify adult hospitalizations with a primary diagnosis of COVID-19 and a secondary diagnosis of ACHD using International Classification of Diseases - 10 Clinical Modification (ICD-10-CM) codes. The primary outcome studied was inpatient mortality, while secondary outcomes included inpatient complications, mean length of stay (LOS), and total hospital charge (THC). Multivariate logistic and linear regression analyses were used to adjust for possible confounders and analyze the variables. Result(s): Out of 1,050,045 COVID-19 hospitalizations registered, 2,425 (0.23%) had ACHD as a secondary diagnosis. Encounters with ACHD who were hospitalized with COVID-19 had significantly higher adjusted odds of inpatient mortality (Adjusted Odds Ratio [aOR]: 1.4, [95% CI: 1.05-1.88], p=0.022), Longer LOS (Mean 2.4 days, [95% CI: 1.35-3.40], p <0.001), and higher Total Hospital Charges (Mean $53,000, [95% CI: 20811-85190], p <0.001). A Forrest plot (Figure 1) demonstrates a graphical representation of the multivariate analysis of the significant in-hospital complications when adjusted for patient demographics, comorbidities, and hospital characteristics. Conclusion(s): Among COVID-19 hospitalizations, those with a history of congenital heart diseases had significantly worse outcomes in terms of in-hospital mortality, sepsis;the need for endotracheal intubation, mechanical ventilation, and vasopressors;developing acute kidney injury and pulmonary embolism, in addition to the longer length of stay, and higher total hospital charges. [Formula presented]Copyright © 2023

Validity of the 2-Minute-Step Test Administered Virtually

PURPOSE/HYPOTHESIS: The 2-minute-step test (2MST) is a face-to-face (F2F) measure used to clinically evaluate aerobic capacity in adults. With the onset of the COVID-19 pandemic, the need to assess cardiovascular health in a virtual environment became evident. The 2MST is amenable to being performed in a virtual environment due to low space requirements, simple instructions, and the ability to visually count step performance through a remote visual setup. The purpose of this study is to determine if there is a difference in performance on the 2MST when administered virtually compared with F2F. NUMBER OF SUBJECTS: 28 healthy adults aged 18-35 were recruited. Subjects were screened to determine eligibility and scheduled for a practice session in both test environments. Exclusion criterion included balance impairments, cardiopulmonary conditions, and pain/recent surgeries that would adversely impact stepping performance. MATERIALS AND METHODS: Subjects performed the 2MST virtually via Zoom platform and F2F on two separate days within 1 week of each other in a counterbalanced order. The primary outcome measure was total number of steps with the right leg to the marked height in both testing sessions. Heart rate was measured prior to performance and immediately upon test completion on both days. Group differences were analyzed using twotailed paired t-tests. RESULT(S): 25 adults (mean age = 24.0 years, 9males, 16 females) completed both sessions. Three subjects were not able to complete both tests and were excluded from analysis. There is no significant difference in mean number of steps performed F2F (M=108.6, SD=11.5) and virtual (M=109.2, SD=15.1);t(24)= .359, p = .7227. The average of the difference in steps between F2F and the virtual environment was <1 step (0.6). Change in heart rate (bpm) was not significantly different in the second test (M=50.4, SD=24.8) compared with the first test (M=46.7, SD=23.6) suggesting similar exertion in both test environments;t(23)=1.0288, p= .3143. CONCLUSION(S): Our findings indicate 2MST performance in healthy adults aged 18-35 is not significantly different when administered via Zoom compared with F2F. This suggests the 2MST may be an effective tool, if a visual virtual option such as Zoom or Facetime, is available when assessing aerobic capacity remotely. Limitations of the study include generalizability to other age groups is currently unknown and the ability of subjects to independently set up the test remotely was not assessed. As in all virtual assessments, clinical reasoning guides which patients are appropriate to perform outcome measures safely, if skilled assistance in not available. CLINICAL RELEVANCE: A valid tool to assess aerobic capacity in a virtual environment can improve patient care, improve access to physical activity interventions and improve health outcomes. Vulnerable populations, such as cancer survivors, who need virtual options for ongoing care will benefit from assessment tools that are adaptable and valid in virtual settings.

Computerized Cognitive Testing in Long COVID Patients With Prolonged Symptoms of Brain Fog and Cognitive Impairment

Purpose: To identify cognitive impairments in patients (pts) with long COVID using the Cambridge Brain Sciences (CBS) computerized cognitive test (CCT) commonly used to evaluate cognitive function after concussions and traumatic brain injuries. Method(s): Retrospective review from May 2021-Sept 2022 of 16 (4 male, 12 female) patients with long COVID, ages 13- 66 (avg 46), with average of 10 months from COVID infection to time of evaluation. Cognitive (cog) performance and concussion profile symptom scores were assessed with CBS CCT and the Concussion Clinical Profiles screening tool (CP screen) respectively. Result(s): The total CP symptom score average was 34/89 (ranging 7-68) in the cohort. The predominant profile was cog fatigue scoring (1.8/3) on average. CBS CCT tested cog impairment (CI) and was divided into 5 categories (0-4): no CI, borderline (scores between the 21st-30th percentile), mild (1 test < / = 20th percentile), moderate (2-3 tests < / = 20th percentile), and severe CI (>3 tests,/520th percentile). Data showed 2/16 (13%) patients had no CI, 5/16 (31%) had borderline CI, 5/16 (31%) had mild CI, 3/16 (19%) had moderate CI, and 1/16 (6%) pts had severe CI. Although not significant, there was a positive correlation between CI and cog profile score (P = 0.3149) when performing a linear regression test. Deficits were most common in the CBS CTT composites of grammatical reasoning/verbal processing and attention, with 4/16 patients scoring < 20th percentile for each test. The lowest average percentile scores for the cohort were in visuospatial processing and verbal short-term memory. Conclusion(s): Most long COVID patients assessed with CCT demonstrated signs of CI, in particular in verbal processing and memory, followed by visual processing. In addition to the CCT results illustrating CI, the top CP profile of cognitive fatigue in this cohort suggests that the brain fog experienced by long COVID patients may be quantified. Significance: CCT may be a useful tool in assessing and quantifying those with Long COVID with chronic symptoms of cognitive fog, fatigue, or impairment. Targeted interventions aimed at specific deficits can aid in treatment and recovery.

Information avoidance: Self-image concerns, inattention, and ideology.

We report the results of an experiment on willful information avoidance regarding measures to address Covid-19. In the experiment, participants choose between two options, each associated with a contribution to the Corona Fund of the Red Cross USA and a payment to the participant. Depending on the treatment, either the participants' payoff, the donation, both or none of these pieces of information were hidden, but revealable. With this design, we can separate motivated reasons for ignorance from non-motivated reasons, both of which are present in our data. Furthermore, we find evidence of both self-serving and pro-social information avoidance. These behavioral patterns correlate with the subjects' political attitudes: while voters of the Democratic Party are prone to exhibit pro-social information avoidance, Republican voters rather engage in self-serving information avoidance.

Yikes! The Effect of Incidental Disgust and Information on Public Attitudes During the COVID-19 Pandemic.

Existing research has focused extensively on the role of emotions such as anger, fear, and enthusiasm in explaining public opinion, but less is known about the importance of disgust, an innate disease-related emotion. To study the independent and joint effects of disgust and information, I draw on the case of the COVID-19 pandemic. I demonstrate that experimentally induced incidental disgust and exposure to information about how to flatten the curve of the COVID-19 cases have distinctive effects on political, racial, and health attitudes. Independently, exposure to information affects preferences only for restrictive policies to fight the spread of the virus. In contrast, the stand-alone effect of incidental disgust, as well as its joint effect with exposure to information, are responsible for attitude change toward both pandemic-relevant and irrelevant policies, Asian minorities, and prevention measures. Importantly, the study finds that citizens respond symmetrically to disgusting stimuli and information across degrees of political awareness, ideology, partisan affiliation, and trait authoritarianism. The results draw attention to the far-reaching implications of disgust on public opinion under threatening conditions.

Accessing to a "Truer Truth”: Conspiracy and Figurative Reasoning From Covid‐19 to the Russia–Ukraine War

This research hypothesizes that all conspiracy theories have dominating isotopies and images‐symbols regardless of ideology or context. As a result, I hypothesized that the common denominator might be discovered in figurative reasoning, which means using the same representations to explain current events, in order to detect an ideal center of the seman-tic universe of conspiracy where the diverse conspiracist fringes converge. Social media invariant topicalizations of the Covid‐19 epidemic and the Russia–Ukraine war are the ideal field to validate this hypothesis. The corpus on which the study was conducted consists of thousands of online items published between February 15, 2020, and October 15, 2022. Within the corpus were chosen posts by QAnon supporters designated as disinformation "superspreaders.”. © 2023 by the author(s);licensee Cogitatio Press (Lisbon, Portugal). TAttribution 4.0 International License (CC BY).