Belief in Fake News is Associated with Delusionality, Dogmatism, Religious Fundamentalism, and Reduced Analytic Thinking

Generative Artificial Intelligence and Misinformation Acceptance: An Experimental Test of the Effect of Forewarning About Artificial Intelligence Hallucination

Generative artificial intelligence (AI) tools could create statements that are seemingly plausible but factually incorrect. This is referred to as AI hallucination, which can contribute to the generation and dissemination of misinformation. Thus, the present study examines whether forewarning about AI hallucination could reduce individuals' acceptance of AI-generated misinformation. An online experiment with 208 Korean adults demonstrated that AI hallucination forewarning reduced misinformation acceptance (p = 0.001, Cohen's d = 0.45) while forewarning did not reduce acceptance of true information (p = 0.91). In addition, the effect of AI hallucination forewarning on misinformation acceptance was moderated by preference for effortful thinking (p < 0.01) such that forewarning decreased misinformation acceptance when preference for effortful thinking was high (vs. low).

Samply Stream API: The AI-enhanced method for real-time event data streaming

This manuscript introduces a novel method for conducting behavioral and social research by streaming real-time information to participants and manipulating content for experimental purposes via AI. We present an extension of the Samply software, which facilitates the integration of event-related data with mobile surveys and experiments. To assess the feasibility of this method, we conducted an experiment where news headlines were modified by a Chat-GPT algorithm and streamed to participants via the Samply Stream API and mobile push notifications. Feedback from participants indicated that most did not experience technical problems. There was no significant difference in readability across original, paraphrased, and misinformation-injected news conditions, with only 1.2% of all news items reported as unreadable. Participants reported significantly less familiarity with misinformation-injected news (84% unfamiliarity) compared to original and paraphrased news (73% unfamiliarity), suggesting successful manipulation of information without compromising readability. Dropout and non-response rates were comparable to those in other experience sampling studies. The streaming method offers significant potential for various applications, including public opinion research, healthcare, marketing, and environmental monitoring. By enabling the real-time collection of contextually relevant data, this method has the potential to enhance the external validity of behavioral research and provides a powerful tool for studying human behavior in naturalistic settings.

Fake news, real needs: A qualitative study on Sino-Japanese theurgy fighting

Mainstream fake news research has previously mostly focused on authenticity but often overlooked the individual psychological needs and actual social issues behind fake news. These limitations impede a profound understanding of its societal intricacies. This study aims to excavate deeper into the latent significance of fake news, peering through its lens to unearth hidden group psychology and realistic needs. Comments about "Sino-Japanese theurgy fighting" (purportedly a fight between Chinese Taoist priests and Japanese Yin-Yang masters) on Chinese TikTok was selected to conduct content analysis and erect a theoretical model using Grounded Theory. Based on the analysis of 1933 valid comments from 29 videos, it is found that support for fake news correlates not just with judgment of authenticity, but also with psychological needs such as emotional catharsis and position identification. This shift in research perspective enriches our comprehension and offers a novel angle for addressing fake news. This finding reflects the attitudes and behavior patterns of social groups in specific situations and are of great significance for understanding the formation and dissemination of public opinion. Thus, in this special "post-truth" era, emotion regulation and fact clarification are equally essential.

A Survey on the Criteria Used to Judge (Fake) News in Italian Population

INTRODUCTION

Fake news detection falls within the field of deception detection and, consequently, can be problematic due to no consensus on which cues increase the detection accuracy and because people's ability to detect is poor.

METHODS

The present study aimed to investigate the criteria used by general population to establish if a given news item is true or fake by surveying a sample of the Italian population. We recruited 329 participants who had to reply to some questions on which criteria they used to conclude a given news item was true. The same questions were also asked to investigate the ones used for fake news judgments.

RESULTS AND CONCLUSION

Our results showed that, overall, people use similar criteria (e.g., reliability of the source and presence of scientific references) to conclude that news is true versus fake, although their use rates differ for true and fake news.

Early morning hour and evening usage habits increase misinformation-spread

Social media manipulation poses a significant threat to cognitive autonomy and unbiased opinion formation. Prior literature explored the relationship between online activity and emotional state, cognitive resources, sunlight and weather. However, a limited understanding exists regarding the role of time of day in content spread and the impact of user activity patterns on susceptibility to mis- and disinformation. This work uncovers a strong correlation between user activity time patterns and the tendency to spread potentially disinformative content. Through quantitative analysis of Twitter (now X) data, we examine how user activity throughout the day aligns with diurnal behavioural archetypes. Evening types exhibit a significantly higher inclination towards spreading potentially disinformative content, which is more likely at night-time. This knowledge can become crucial for developing targeted interventions and strategies that mitigate misinformation spread by addressing vulnerable periods and user groups more susceptible to manipulation.

Teaching epistemic integrity to promote reliable scientific communication

In an age of mass communication, citizens need to learn how to detect and transmit reliable scientific information. This need is exacerbated by the transmission of news through social media, where any individual has the potential to reach thousands of other users. In this article, we argue that fighting the uncontrolled transmission of unreliable information requires improved training in broad epistemic integrity. This subcategory of research integrity is relevant to students in all disciplines, and is often overlooked in integrity courses, in contrast to topics such as fraud, plagiarism, collaboration and respect for study subjects. Teaching epistemic integrity involves training epistemic skills (such as metacognitive competences, capacity to use helpful heuristics, basic statistical and methodological principles) and values (such as love of truth, intellectual humility, epistemic responsibility). We argue that this topic should be addressed in secondary school, and later constitute a fundamental component of any university curriculum.

Thinking false and slow: Implausible beliefs and the Cognitive Reflection Test

Why do people believe implausible claims like conspiracy theories, pseudoscience, and fake news? Past studies using the Cognitive Reflection Test (CRT) suggest that implausible beliefs may result from an unwillingness to effortfully process information (i.e., cognitive miserliness). Our analysis (N = 664) tests this account by comparing CRT performance (total score, number and proportion of incorrect intuitive responses, and completion time) for endorsers and non-endorsers of implausible claims. Our results show that endorsers performed worse than non-endorsers on the CRT, but they took significantly longer to answer the questions and did not make proportionally more intuitive mistakes. Endorsers therefore appear to process information effortfully but nonetheless score lower on the CRT. Poorer overall CRT performance may not necessarily indicate that those who endorse implausible beliefs have a more reflexive, intuitive, or non-analytical cognitive style than non-endorsers.

Exploring the impact of social media exposure patterns on people’s belief in fake news during COVID-19: A cross-gender study

During COVID-19, fake news on social media seriously threatened public health. As a solution to this problem, this study examined how social media exposure patterns affect people being deeply harmed by fake news. Based on cognitive dissonance theory, this study investigated the effect of intentional and incidental exposure on belief in fake news through the mediating role of confirmation bias. The results show that intentional exposure positively influences confirmation bias and belief in fake news. Incidental exposure is the opposite. Our results also show that intentional exposure and confirmation bias negatively influence incidental exposure. Furthermore, these relationships remain unchanged by gender. This study provides theoretical and empirical contributions to reducing people’s belief in fake news.

Fake News and the Sleeper Effect in Social Media Posts: the Case of Perception of Safety in the Workplace

Fake news and misinformation on social media platforms are two of the biggest problems of the last few years. Understanding the underlying mechanisms of memory is of fundamental importance to develop specific intervention programs. In this study, 324 white-collar workers viewed Facebook posts focused on coronavirus disease-2019 prevention norms in the workplace. In a within-participants design, we manipulated the message and the source to expose each participant to real news, real news presented by a discounting cue (sleeper effect condition), and fake news. The results show that participants were more susceptible to fake news during a 1-week delayed posttest following a memory recall process. Furthermore, they remembered the message easily, but not the source, which did not differ in the real-news conditions. We discuss the results, mentioning the sleeper effect and fake news theories.

On modeling the correlates of conspiracy thinking

While a robust literature on the psychology of conspiracy theories has identified dozens of characteristics correlated with conspiracy theory beliefs, much less attention has been paid to understanding the generalized predisposition towards interpreting events and circumstances as the product of supposed conspiracies. Using a unique national survey of 2015 U.S. adults from October 2020, we investigate the relationship between this predisposition-conspiracy thinking-and 34 different psychological, political, and social correlates. Using conditional inference tree modeling-a machine learning-based approach designed to facilitate prediction using a flexible modeling methodology-we identify the characteristics that are most useful for orienting individuals along the conspiracy thinking continuum, including (but not limited to): anomie, Manicheanism, support for political violence, a tendency to share false information online, populism, narcissism, and psychopathy. Altogether, psychological characteristics are much more useful in predicting conspiracy thinking than are political and social characteristics, though even our robust set of correlates only partially accounts for variance in conspiracy thinking.

Evidence for Spinozan "Unbelieving" in the Right Inferior Prefrontal Cortex

Humans can think about possible states of the world without believing in them, an important capacity for high-level cognition. Here, we use fMRI and a novel "shell game" task to test two competing theories about the nature of belief and its neural basis. According to the Cartesian theory, information is first understood, then assessed for veracity, and ultimately encoded as either believed or not believed. According to the Spinozan theory, comprehension entails belief by default, such that understanding without believing requires an additional process of "unbelieving." Participants (n = 70) were experimentally induced to have beliefs, desires, or mere thoughts about hidden states of the shell game (e.g., believing that the dog is hidden in the upper right corner). That is, participants were induced to have specific "propositional attitudes" toward specific "propositions" in a controlled way. Consistent with the Spinozan theory, we found that thinking about a proposition without believing it is associated with increased activation of the right inferior frontal gyrus. This was true whether the hidden state was desired by the participant (because of reward) or merely thought about. These findings are consistent with a version of the Spinozan theory whereby unbelieving is an inhibitory control process. We consider potential implications of these results for the phenomena of delusional belief and wishful thinking.

Post-truth epistemic beliefs rooted in the Dark Factor of Personality are associated with higher COVID-19 vaccination refusal

A substantial number of people refused to get vaccinated against COVID-19, which prompts the question as to why. We focus on the role of individual worldviews about the nature and generation of knowledge (epistemic beliefs). We propose a model that includes epistemic beliefs, their relationship to the Dark Factor of Personality (D), and their mutual effect on the probability of having been vaccinated against COVID-19. Based on a US nationally representative sample (N = 1268), we show that stronger endorsement of post-truth epistemic beliefs was associated with a lower probability of having been vaccinated against COVID-19. D was also linked to a lower probability of having been vaccinated against COVID-19, which can be explained by post-truth epistemic beliefs. Our results indicate that the more individuals deliberately refrain from adhering to the better argument, the less likely they are vaccinated. More generally, post-truth epistemic beliefs pose a challenge for rational communication.

Making sense of the crisis: how religion shapes the attribution of meaning during the corona pandemic

In times of existential crisis, such as the Corona pandemic, people may turn to religious traditions that help them make new sense of the depressing situation. While recent studies have shown that during the Corona pandemic, the frequency of prayer and church attendance increased in several countries, we know little about whether and how religious interpretations of the current crisis occur. Building on Crystal Park's Meaning Making Model, the article examines whether individual religiosity, religious affiliation, and the experience of a SARS-CoV‑2 infection influence religious interpretations of the Corona pandemic. Our results show that religiosity is strongly associated with the idea of a benevolent God and weakly associated with the concept of a punishing God. Members of specific religious groups differed significantly in their religious interpretation of the Corona pandemic. Finally, we found that the experience of a SARS-CoV‑2 infection was associated with doubts about the power of God.

The Experience of Health Professionals With Misinformation and Its Impact on Their Job Practice: Qualitative Interview Study

Background

Misinformation is often disseminated through social media, where information is spread rapidly and easily. Misinformation affects many patients' decisions to follow a treatment prescribed by health professionals (HPs). For example, chronic patients (eg, those with diabetes) may not follow their prescribed treatment plans. During the recent pandemic, misinformed people rejected COVID-19 vaccines and public health measures, such as masking and physical distancing, and used unproven treatments.

Objective

This study investigated the impact of health-threatening misinformation on the practices of health care professionals in the United Kingdom, especially during the outbreaks of diseases where a great amount of health-threatening misinformation is produced and released. The study examined the misinformation surrounding the COVID-19 outbreak to determine how it may have impacted practitioners' perceptions of misinformation and how that may have influenced their practice. In particular, this study explored the answers to the following questions: How do HPs react when they learn that a patient has been misinformed? What misinformation do they believe has the greatest impact on medical practice? What aspects of change and intervention in HPs' practice are in response to misinformation?

Methods

This research followed a qualitative approach to collect rich data from a smaller subset of health care practitioners working in the United Kingdom. Data were collected through 1-to-1 online interviews with 13 health practitioners, including junior and senior physicians and nurses in the United Kingdom.

Results

Research findings indicated that HPs view misinformation in different ways according to the scenario in which it occurs. Some HPs consider it to be an acute incident exacerbated by the pandemic, while others see it as an ongoing phenomenon (always present) and address it as part of their daily work. HPs are developing pathways for dealing with misinformation. Two main pathways were identified: first, to educate the patient through coaching, advising, or patronizing and, second, to devote resources, such as time and effort, to facilitate 2-way communication between the patient and the health care provider through listening and talking to them.

Conclusions

HPs do not receive the confidence they deserve from patients. The lack of trust in health care practitioners has been attributed to several factors, including (1) trusting alternative sources of information (eg, social media) (2) patients' doubts about HPs' experience (eg, a junior doctor with limited experience), and (3) limited time and availability for patients, especially during the pandemic. There are 2 dimensions of trust: patient-HP trust and patient-information trust. There are 2 necessary actions to address the issue of lack of trust in these dimensions: (1) building trust and (2) maintaining trust. The main recommendations of the HPs are to listen to patients, give them more time, and seek evidence-based resources.

Interconnectedness and (in)coherence as a signature of conspiracy worldviews

Conspiracy theories may arise out of an overarching conspiracy worldview that identifies common elements of subterfuge across unrelated or even contradictory explanations, leading to networks of self-reinforcing beliefs. We test this conjecture by analyzing a large natural language database of conspiracy and nonconspiracy texts for the same events, thus linking theory-driven psychological research with data-driven computational approaches. We find that, relative to nonconspiracy texts, conspiracy texts are more interconnected, more topically heterogeneous, and more similar to one another, revealing lower cohesion within texts but higher cohesion between texts and providing strong empirical support for an overarching conspiracy worldview. Our results provide inroads for classification algorithms and further exploration into individual differences in belief structures.

Role of fake news and misinformation in supply chain disruption: impact of technology competency as moderator

Studies show that COVID-19 has increased the effects of misinformation and fake news that proliferated during the continued crisis and related turbulent environment. Fake news and misinformation can come from various sources such as social media, print media, as well as from electronic media such as instant messaging services and other apps. There is a growing interest among researchers and practitioners on how fake news and misinformation impacts on supply chain disruption. But the limited research in this area leaves a gap. With this background, the purpose of this study is to determine the role of fake news and misinformation in supply chain disruption and the consequences to a firm's operational performance. This study also investigates the moderating role of technology competency in supply chain disruption and operational performance of the firm. With the help of theories and literature, a theoretical model has been developed. Later, the conceptual model has been validated using partial least squares structural equation modeling. The study finds that there is a significant impact of misinformation and fake news on supply chain disruption, which in turn negatively impacts firms' operational performance. The study also highlights that firms' technology competency can improve the supply chain situation that has been disrupted by misinformation and fake news.

Infodemic and fake news - A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review

The spread of fake news increased dramatically during the COVID-19 pandemic worldwide. This study aims to synthesize the extant literature to understand the magnitude of this phenomenon in the wake of the pandemic in 2021, focusing on the motives and sociodemographic profiles, Artificial Intelligence (AI)-based tools developed, and the top trending topics related to fake news. A scoping review was adopted targeting articles published in five academic databases (January 2021-November 2021), resulting in 97 papers. Most of the studies were empirical in nature (N = 69) targeting the general population (N = 26) and social media users (N = 13), followed by AI-based detection tools (N = 27). Top motives for fake news sharing include low awareness, knowledge, and health/media literacy, Entertainment/Pass Time/Socialization, Altruism, and low trust in government/news media, whilst the phenomenon was more prominent among those with low education, males and younger. Machine and deep learning emerged to be the widely explored techniques in detecting fake news, whereas top topics were related to vaccine, virus, cures/remedies, treatment, and prevention. Immediate intervention and prevention efforts are needed to curb this anti-social behavior considering the world is still struggling to contain the spread of the COVID-19 virus.

Lies, Damned Lies, and Social Media Following Extreme Events

With the increased use of social media in crisis communication following extreme events, it is important to understand how the public distinguishes between true and false information. A U.S. adult sample (N = 588) was presented 20 actual social media posts following a natural disaster or soft-target terrorist attack in the United States. In this study, social media posts are conceptualized as truth signals with varying strengths, either above or below each individual's threshold for believing the post is true. Optimally, thresholds should be contingent on the (incentivized) error penalties and base-rate of true posts, both of which were manipulated. Separate receiver operating characteristic (ROC) analyses indicate that participants performed slightly better than chance for natural disasters and moderately better than chance for terror attacks. While the pooled thresholds are ordinally consistent with the base-rate and error penalty manipulations, they are underadjusted compared to the optimal thresholds. After accounting for demographic and cognitive variables, the base-rate manipulation significantly predicted sensitivity, specificity, and true response rates in the expected direction for both content domains, while the error penalty manipulation had no significant effect in either domain. Self-identified political conservatives performed worse at classifying false content as false for natural disasters, but better for terror attacks.

COVID-19 Misinformation on Social Media and Public’s Health Behavior: Understanding the Moderating Role of Situational Motivation and Credibility Evaluations

The spread of misinformation on social networking conduit regarding COVID-19 pandemic poses deleterious consequences on public health. The author advance the body of knowledge on tackling misinformation to generate positive health behavior responses by proposing a conceptual framework based on the theory of persuasion and behavior change. Furthermore, as a belief antecedent, conspiracy theory is also used in this study. The author, using structural equation modeling technique, explored the three hundred seventy-three participants’ belief in conspiracy theory and religious misinformation and their influence on intention and behavior. Those direct relationships were tested by the joint moderating role of situational motivation and credibility evaluations. The study revealed that the situational motivation and credibility evaluation jointly and individually (in some cases) weaken the strong positive relationship between misinformation (conspiracy theory and religious misinformation) and health belief, health belief and intention, and intention and health behavior regarding COVID-19. The findings of this study offer guideline for policymakers to generate favorable health behavior regarding COVID-19 and any other epidemic or pandemic. Directions for researchers to any further extensions are also placed.

Prevalence and Predictors of Intention to be Vaccinated Against COVID-19 in Thirteen Latin American and Caribbean Countries

The presence of a significant number of people who do not intend to be vaccinated could negatively impact efforts to control the COVID-19 pandemic. Therefore, this study sought to determine the prevalence of intention to be vaccinated against COVID-19 and associated sociodemographic and psychosocial factors in thirteen countries in Latin America and the Caribbean (LAC). A total of 5510 people from 13 LAC countries participated. Frequencies, percentages, bivariate analyses using chi-square tests, and Poisson regression analysis with robust variance were used. The countries with the highest prevalence of intention to be vaccinated were Brazil (96.94%), Cuba (89.59%), Chile (84.59%), and Mexico (78.33%). On the other hand, the countries with the lowest prevalence were El Salvador (54.01%), Paraguay (55.87%), and Uruguay (56.40%). Prevalence is also reported according to some sociodemographic and health variables. It was found that country, male sex, hours exposed to information about COVID-19, university education, living in an urban area, belief in the animal origin of the virus, perceived likelihood of contracting COVID-19, perceived severity of COVID-19, and concern about infecting others significantly predicted intention to be vaccinated in the 13 LAC countries. While most countries had a high prevalence of intention to be vaccinated, there are still subgroups that have levels of intention that may be insufficient to predict the presence of community immunity. In this sense, knowing the estimates of vaccination intention rates, as well as the associated sociodemographic and psychological factors, can be used to plan actions and interventions that will inform about the safety and benefits of vaccines, as well as strengthen trust in health authorities.

You before me: How vertical collectivism and feelings of threat predicted more socially desirable behaviour during COVID-19 pandemic

The present study investigated the relationship between outward orientation and COVID-related prosocial behavior, including adherence to containment measures, caring for others and providing support, limiting one's social life and responsible purchasing behavior. A sample of 500 Slovaks (250 women) aged between 18 and 86 (M = 44.32, SD = 15.66) participated in the study and responded to questions concerning their sociodemographic and personality characteristics, collectivism and individualism, the consciousness of future consequences and emotional responses to the pandemic. The results show that apart from the perceived threat of COVID-19, vertical collectivism is among the strongest antecedents of COVID-related prosocial behavior. Specifically, feelings of threat, vertical collectivism, conscientiousness, agreeableness, liberalism, and education predicted more prosocial behavior during the pandemic. Consequently, the study indicates that while excessive fear may have adverse effects on individuals' well-being, appealing to and cultivating collectivistic sentiments could contribute not only to containing the pandemic but also to making others' lives more bearable while it lasts.

Risk-Perception Change Associated with COVID-19 Vaccine's Side Effects: The Role of Individual Differences

The COVID-19 vaccine appears to be a crucial requirement to fight the pandemic. However, a part of the population possesses negative attitudes towards the vaccine. The spread of conspiracy theories and contradictory information about the pandemic have altered the population's perception of risk. The risk-perception of the vaccine's side effects may be affected by individual differences. The complex relationship between risk-perception and individual differences is relevant when people have to make decisions based on ambiguous and constantly changing information, as in the early phases of the Italian vaccination campaign. The present study aimed at measuring the effect of individual differences in risk-perception associated with the COVID-19 vaccine's side effects in a context characterized by information ambiguity. An online survey was conducted to classify a sample of Italian pro-vaccine people into cognitive/behavioral style groups. Furthermore, changes in vaccine risk-perception after inconsistent communications regarding the vaccine's side effects were compared between groups. The results showed that "analytical" individuals did not change their perception regarding the probability of vaccine side effects but changed their perception regarding the severity of side effects; "open" and "polarized" individuals neither changed their perception regarding the probability nor of the severity of side effects, showing a different kind of information processing, which could interfere with an informed decision-making process.

Is intuition allied with jumping to conclusions in decision-making? An intensive longitudinal study in patients with delusions and in non-clinical individuals

Research suggests that a jumping-to-conclusions (JTC) bias, excessive intuition, and reduced analysis in information processing may favor suboptimal decision-making, both in non-clinical and mentally disordered individuals. The temporal relationship between processing modes and JTC bias, however, remains unexplored. Therefore, using an experience sampling methodology (ESM) approach, this study examines the temporal associations between intuitive/analytical information processing, JTC bias, and delusions in non-clinical individuals and patients with schizophrenia. Specifically, we examine whether a high use of intuitive and/or a low use of analytical processing predicts subsequent JTC bias and paranoid conviction. In a smartphone-based ESM study, participants will be prompted four times per day over three consecutive days to answer questionnaires designed to measure JTC bias, paranoid conviction, and preceding everyday-life intuition/analysis. Our hierarchical data will be analyzed using multilevel modelling for hypothesis testing. Results will further elucidate the role of aberrant human reasoning, particularly intuition, in (non-)clinical delusions and delusion-like experiences, and also inform general information processing models.

Individual Differences in Belief in Fake News about Election Fraud after the 2020 U.S. Election

Fake news is a serious problem because it misinforms people about important issues. The present study examined belief in false headlines about election fraud after the 2020 U.S. presidential election. Belief in election fraud had dangerous consequences, including the deadly insurrection at the U.S. Capitol in January 2021. In the present study, participants rated the truthfulness of true and false headlines about the election, and then completed individual difference measures eight days after the election. Participants with more conservative ideology, greater presidential approval of the outgoing president, greater endorsement of general conspiracy narratives and poorer cognitive reflection demonstrated greater belief in false headlines about election fraud. Additionally, consuming more politically conservative election news was associated with greater belief in false headlines. Identifying the factors related to susceptibility to false claims of election fraud offers a path toward countering the influence of these claims by tailoring interventions aimed at decreasing belief in misinformation and decreasing conspiracy beliefs to those most susceptible.

Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

In the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.

Critical thinking predicts reductions in Spanish physicians' stress levels and promotes fake news detection

The prevalence of pseudoscientific beliefs and fake news increased during the coronavirus crisis. Misinformation streams such as these potentially pose risks to people's health. Thus, knowing how these pseudoscientific beliefs and fake news impact the community of internists may be useful for improving primary care services. In this research, analyses of stress levels, effectiveness in detecting fake news, use of critical thinking (CP), and attitudes toward pseudosciences in internists during the COVID-19 crisis were performed. A total of 1129 internists participated. Several multiple regression models were applied using the forward stepwise method to determine the weight of CP and physicians' attitudes toward pseudosciences in predicting reductions in stress levels and facilitating the detection of fake news. The use of critical thinking predicted 46.9% of the reduction in stress levels. Similarly, skeptical attitudes and critical thinking predicted 56.1% of the hits on fake news detection tests. The stress levels of physicians during the coronavirus pandemic were clinically significant. The efficacy of fake news detection increases by 30.7% if the individual was a physician. Study outcomes indicate that the use of critical thinking and skeptical attitudes reduce stress levels and allow better detection of fake news. The importance of how to promote critical and skeptical attitudes in the field of medicine is discussed.

Of tinfoil hats and thinking caps: Reasoning is more strongly related to implausible than plausible conspiracy beliefs

People who strongly endorse conspiracy theories typically exhibit biases in domain-general reasoning. We describe an overfitting hypothesis, according to which (a) such theories overfit conspiracy-related data at the expense of wider generalisability, and (b) reasoning biases reflect, at least in part, the need to reduce the resulting dissonance between the conspiracy theory and wider data. This hypothesis implies that reasoning biases should be more closely associated with belief in implausible conspiracy theories (e.g., the moon landing was faked) than with more plausible ones (e.g., the Russian Federation orchestrated the attack on Sergei Skripal). In two pre-registered studies, we found that endorsement of implausible conspiracy theories, but not plausible ones, was associated with reduced information sampling in an information-foraging task and with less reflective reasoning. Thus, the relationship between belief in conspiracy theories and reasoning is not homogeneous, and reasoning is not linked specifically to the "conspiracy" aspect of conspiracy theories. Instead, it may reflect an adaptive response to the tension between implausible theories and other beliefs and data.

Reconciling scientific and commonsense values to improve reasoning

Scientific reasoning is characterized by commitments to evidence and objectivity. New research suggests that under some conditions, people are prone to reject these commitments, and instead sanction motivated reasoning and bias. Moreover, people's tendency to devalue scientific reasoning likely explains the emergence and persistence of many biased beliefs. However, recent work in epistemology has identified ways in which bias might be legitimately incorporated into belief formation. Researchers can leverage these insights to evaluate when commonsense affirmation of bias is justified and when it is unjustified and therefore a good target for intervention. Making reasoning more scientific may require more than merely teaching people what constitutes scientific reasoning; it may require affirming the value of such reasoning in the first place.

Source Information Affects Interpretations of the News across Multiple Age Groups in the United States

People have access to more news from more sources than ever before. At the same time, they increasingly distrust traditional media and are exposed to more misinformation. To help people better distinguish real news from “fake news,” we must first understand how they judge whether news is real or fake. One possibility is that people adopt a relatively effortful, analytic approach, judging news based on its content. However, another possibility—consistent with psychological research—is that people adopt a relatively effortless, heuristic approach, drawing on cues outside of news content. One such cue is where the news comes from: its source. Beliefs about news sources depend on people’s political affiliation, with U.S. liberals tending to trust sources that conservatives distrust, and vice versa. Therefore, if people take this heuristic approach, then judgments of news from different sources should depend on political affiliation and lead to a confirmation bias of pre-existing beliefs. Similarly, political affiliation could affect the likelihood that people mistake real news for fake news. We tested these ideas in two sets of experiments. In the first set, we asked University of Louisiana at Lafayette undergraduates (Experiment 1a n = 376) and Mechanical Turk workers in the United States (Experiment 1a n = 205; Experiment 1b n = 201) to rate how “real” versus “fake” a series of unfamiliar news headlines were. We attributed each headline to one of several news sources of varying political slant. As predicted, we found that source information influenced people’s ratings in line with their own political affiliation, although this influence was relatively weak. In the second set, we asked Mechanical Turk workers in the United States (Experiment 2a n = 300; Experiment 2b n = 303) and University of Louisiana at Lafayette undergraduates (Experiment 2b n = 182) to watch a highly publicized “fake news” video involving doctored footage of a journalist. We found that people’s political affiliation influenced their beliefs about the event, but the doctored footage itself had only a trivial influence. Taken together, these results suggest that adults across a range of ages rely on information other than news content—such as how they feel about its source—when judging whether news is real or fake. Moreover, our findings help explain how people experiencing the same news content can arrive at vastly different conclusions. Finally, efforts aimed at educating the public in combatting fake news need to consider how political affiliation affects the psychological processes involved in forming beliefs about the news.

Scaling up fact-checking using the wisdom of crowds

Professional fact-checking, a prominent approach to combating misinformation, does not scale easily. Furthermore, some distrust fact-checkers because of alleged liberal bias. We explore a solution to these problems: using politically balanced groups of laypeople to identify misinformation at scale. Examining 207 news articles flagged for fact-checking by Facebook algorithms, we compare accuracy ratings of three professional fact-checkers who researched each article to those of 1128 Americans from Amazon Mechanical Turk who rated each article’s headline and lede. The average ratings of small, politically balanced crowds of laypeople (i) correlate with the average fact-checker ratings as well as the fact-checkers’ ratings correlate with each other and (ii) predict whether the majority of fact-checkers rated a headline as “true” with high accuracy. Furthermore, cognitive reflection, political knowledge, and Democratic Party preference are positively related to agreement with fact-checkers, and identifying each headline’s publisher leads to a small increase in agreement with fact-checkers.

Analytic thinking predicts accuracy ratings and willingness to share COVID-19 misinformation in Australia

The classical account of reasoning posits that analytic thinking weakens belief in COVID-19 misinformation. We tested this account in a demographically representative sample of 742 Australians. Participants completed a performance-based measure of analytic thinking (the Cognitive Reflection Test) and were randomized to groups in which they either rated the perceived accuracy of claims about COVID-19 or indicated whether they would be willing to share these claims. Half of these claims were previously debunked misinformation, and half were statements endorsed by public health agencies. We found that participants with higher analytic thinking levels were less likely to rate COVID-19 misinformation as accurate and were less likely to be willing to share COVID-19 misinformation. These results support the classical account of reasoning for the topic of COVID-19 misinformation and extend it to the Australian context.

The socio-psychological predictors of support for post-truth collective action

Politics in the current era are replete with unreliable media stories which lack evidence, sometimes disparagingly dubbed "fake news". A survey on a sample of Muslims in Indonesia (N = 518) in this work found that participants' endorsement of collective action in of support issues with little to no empirical evidence (i.e., post-truth collective action) increased as a function of their belief in fake news and prejudice against the outgroup (i.e., non-Muslims). Belief in fake news stemmed from participants' generic and specific conspiratorial thinking, whereas prejudice was positively predicted by relative Muslim prototypicality, denoting how much Muslims in Indonesia view that their group is more representative than non-Muslims of the superordinate Indonesian identity that encompasses both groups. Additionally, our findings revealed that generic conspiratorial thinking and relative Muslim prototypicality were positively predicted by collective narcissism, which in turn spurred participants' support for collective action by augmenting belief in fake news.

Human Cooperation and the Crises of Climate Change, COVID-19, and Misinformation

Contemporary society is facing many social dilemmas-including climate change, COVID-19, and misinformation-characterized by a conflict between short-term self-interest and longer-term collective interest. The climate crisis requires paying costs today to benefit distant others (and oneself) in the future. The COVID-19 crisis requires the less vulnerable to pay costs to benefit the more vulnerable in the face of great uncertainty. The misinformation crisis requires investing effort to assess truth and abstain from spreading attractive falsehoods. Addressing these crises requires an understanding of human cooperation. To that end, we present (a) an overview of mechanisms for the evolution of cooperation, including mechanisms based on similarity and interaction; (b) a discussion of how reputation can incentivize cooperation via conditional cooperation and signaling; and (c) a review of social preferences that undergird the proximate psychology of cooperation, including positive regard for others, parochialism, and egalitarianism. We discuss the three focal crises facing our society through the lens of cooperation, emphasizing how cooperation research can inform our efforts to address them. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Nevertheless, partisanship persisted: fake news warnings help briefly, but bias returns with time

Politically oriented “fake news”—false stories or headlines created to support or attack a political position or person—is increasingly being shared and believed on social media. Many online platforms have taken steps to address this by adding a warning label to articles identified as false, but past research has shown mixed evidence for the effectiveness of such labels, and many prior studies have looked only at either short-term impacts or non-political information. This study tested three versions of fake news labels with 541 online participants in a two-wave study. A warning that came before a false headline was initially very effective in both discouraging belief in false headlines generally and eliminating a partisan congruency effect (the tendency to believe politically congenial information more readily than politically uncongenial information). In the follow-up survey two weeks later, however, we found both high levels of belief in the articles and the re-emergence of a partisan congruency effect in all warning conditions, even though participants had known just two weeks ago the items were false. The new pre-warning before the headline showed some small improvements over other types, but did not stop people from believing the article once seen again without a warning. This finding suggests that warnings do have an important immediate impact and may work well in the short term, though the durability of that protection is limited.

Analytic Thinking and Political Orientation in the Corona Crisis

With much unknown about the new coronavirus, the scientific consensus is that human hosts are crucial to its spread and reproduction-the more people behave like regular socializing beings they are, the more likely it is that the virus will propagate. Hence, many nations worldwide have mandated physical-distancing measures. In the current preregistered research, we focus on examining two factors that may help explain differences in adherence to COVID-19 preventive behaviors and policy support across different countries-political orientation and analytic thinking. We positioned our research within the dual-process framework of human reasoning and investigated the role of cognitive reflection, open-minded thinking, and political ideology in determining COVID-19 responsible behavior (physical distancing and maintaining hygiene) and support for restrictive COVID-19 policies on a sample of 12,490 participants from 17 countries. We have not been able to detect substantial relationships of political orientation with preventive behaviors and policy support, and overall found no reliable evidence of politicization, nor polarization regarding the issue. The results of structural equation modeling showed that the inclination towards COVID-19 preventive measures and their endorsement were defined primarily by the tendency of open-minded thinking. Specifically, open-minded thinking was shown to be a predictor of all three criteria-avoiding physical contact, maintaining physical hygiene, and supporting COVID-19 restrictive mitigation policies. Cognitive reflection was predictive of lesser adherence to stricter hygiene and only very weakly predictive of lesser policy support. Furthermore, there was no evidence of these effects varying across political contexts. The mediation analysis suggested a partial mediation effect of COVID-19 conspiracy beliefs on the relationships of open-mindedness and cognitive reflection with physical distancing (but not adherence to stricter hygiene) and COVID-19 policy support, albeit very small and significant primarily due to sample size. There was also no evidence of these effects varying across political contexts. Finally, we have not been able to find strong evidence of political orientation modifying the relationship between analytical thinking and COVID-19 behaviors and policy support, although we explored the pattern of these effects in the US and Canadian samples for exploratory purposes and comparison with other similar studies.

Cognitive style predicts how people explain mental magic tricks

Magic tricks are deceiving, yet we can readily generate an explanation for a trick that we do not fully understand. In three experiments, we show that the way people explain a mental magic trick depends on their individual cognitive style. Analytical thinkers tend to generate explanations that appeal to rationality, such as using physical props to accomplish an effect. In contrast, intuitive thinkers are more likely to generate irrational explanations that accord with the magician's provided backstory, such as using subliminal cues to guide a spectator's choices. We observe this effect when measuring a participant's cognitive style using the Cognitive Reflection Test, and also when manipulating a participant's cognitive style using a simple narrative prompt.

The Development and Validation of the Epistemic Vice Scale

This paper presents two studies on the development and validation of a ten-item scale of epistemic vice and the relationship between epistemic vice and misinformation and fake news. Epistemic vices have been defined as character traits that interfere with acquiring, maintaining, and transmitting knowledge. Examples of epistemic vice are gullibility and indifference to knowledge. It has been hypothesized that epistemically vicious people are especially susceptible to misinformation and conspiracy theories. We conducted one exploratory and one confirmatory observational survey study on Amazon Mechanical Turk among people living in the United States (total N = 1737). We show that two psychological traits underlie the range of epistemic vices that we investigated: indifference to truth and rigidity. Indifference manifests itself in a lack of motivation to find the truth. Rigidity manifests itself in being insensitive to evidence. We develop a scale to measure epistemic vice with the subscales indifference and rigidity. The Epistemic Vice Scale is internally consistent; has good convergent, divergent, and discriminant validity; and is strongly associated with the endorsement of misinformation and conspiracy theories. Epistemic vice explains additional variance in the endorsement of misinformation and conspiracy theories over and above demographic and related psychological concepts and shows medium to large effect sizes across outcome measures. We demonstrate that epistemic vice differs from existing psychological constructs, and show that the scale can explain individual differences in dealing with misinformation and conspiracy theories. We conclude that epistemic vice might contribute to "postfactive" ways of thinking.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13164-021-00562-5.

Determinants of individuals' belief in fake news: A scoping review determinants of belief in fake news

BACKGROUND

Proliferation of misinformation in digital news environments can harm society in a number of ways, but its dangers are most acute when citizens believe that false news is factually accurate. A recent wave of empirical research focuses on factors that explain why people fall for the so-called fake news. In this scoping review, we summarize the results of experimental studies that test different predictors of individuals' belief in misinformation.

METHODS

The review is based on a synthetic analysis of 26 scholarly articles. The authors developed and applied a search protocol to two academic databases, Scopus and Web of Science. The sample included experimental studies that test factors influencing users' ability to recognize fake news, their likelihood to trust it or intention to engage with such content. Relying on scoping review methodology, the authors then collated and summarized the available evidence.

RESULTS

The study identifies three broad groups of factors contributing to individuals' belief in fake news. Firstly, message characteristics-such as belief consistency and presentation cues-can drive people's belief in misinformation. Secondly, susceptibility to fake news can be determined by individual factors including people's cognitive styles, predispositions, and differences in news and information literacy. Finally, accuracy-promoting interventions such as warnings or nudges priming individuals to think about information veracity can impact judgements about fake news credibility. Evidence suggests that inoculation-type interventions can be both scalable and effective. We note that study results could be partly driven by design choices such as selection of stimuli and outcome measurement.

CONCLUSIONS

We call for expanding the scope and diversifying designs of empirical investigations of people's susceptibility to false information online. We recommend examining digital platforms beyond Facebook, using more diverse formats of stimulus material and adding a comparative angle to fake news research.

Improving Gifted Talent Development Can Help Solve Multiple Consequential Real-World Problems

Fully developing the talents of all students is a fundamental goal for personal well-being and development and ultimately for global societal innovation and flourishing. However, in this paper we focus on what we believe is an often neglected and underdeveloped population, that of the gifted. We draw from the cognitive aptitude and gifted education research literatures to make the case that solutions to consequential real-world problems can be greatly enhanced by more fully developing the talents of the intellectually gifted population, which we operationalize in this paper as roughly the top 5% of cognitive talent. Should well-supported high achievers choose to solve them, these problems span health, science, economic growth, and areas unforeseen. We draw from longitudinal research on intellectually precocious students and retrospective research on leaders and innovators in society, showing that mathematical, verbal, and spatial aptitudes are linked to societal innovation. We then discuss two remaining fundamental challenges: the identification of disadvantaged and marginalized groups of students who have traditionally been neglected in selection for gifted programming suited to their current developmental needs, and the building of skills beyond academic ones, specifically in the related areas of open-minded thinking and intellectual humility.

The Influence of Political Ideology on Fake News Belief: The Portuguese Case

The relationship between a subject’s ideological persuasion with the belief and spread of fake news is the object of our study. Departing from a left- vs. right-wing framework, a questionnaire sought to position subjects on this political-ideological spectrum and demanded them to evaluate five pro-left and pro-right fake and real news, totaling 20 informational products. The results show the belief and dissemination of (fake) news are related to the political ideology of the participants, with right-wing subjects exhibiting a greater tendency to accept fake news, regardless of whether it is pro-left or pro-right fake news. These findings contradict the confirmation bias and may suggest that a greater influence of factors such as age, the level of digital news literacy and psychological aspects in the judgment of fake news are at play. Older and less educated respondents indicated they believed and would disseminate fake news at greater rates. Regardless of the ideology they favor, the Portuguese attributed higher credibility to the sample’s real news, a fact that can be meaningful regarding the fight against disinformation in Portugal and elsewhere.