The evaluation of fake and true news: on the role of intelligence, personality, interpersonal trust, ideological attitudes, and news consumption

The spread of fake news: Disclosure willingness role

The epidemic has had a profound negative impact on individuals worldwide, leading to pervasive anxiety, fear, and mental instability. Exploiting these fears, a significant amount of fake information proliferates and spreads rapidly on social networks. This study explores the factors that cause individuals to believe fake news under stressful and fearful conditions by applying the truth-default theory. Data was collected online in Vietnam, using Smart PLS software to analyze the research model. The findings indicated that risk perception, media trust, trust in celebrity posts, and stress were factors that urge users to believe news posted on social media, and even they actively share this news on their own channels. Disclosure willingness moderated the relationship between adoption fake news and sharing it. Both theoretical and practical implications were discussed.

Information literacy in the digital age: information sources, evaluation strategies, and perceived teaching competences of pre-service teachers

Introduction

Information literacy has become indispensable in navigating today's fast-paced media environment, with teachers playing a pivotal role in fostering reflective and critical digital citizenship. Positioned as future gatekeepers, pre-service teachers are the key to teaching media skills and especially information literacy to future generations of pupils. Given the particular challenges facing educators today compared to previous generations, it is important to determine whether the next generation of teachers feel adequately prepared and perceive themselves as competent to pass on these skills to their future pupils. However, previous research has highlighted deficiencies in formal learning opportunities at universities, underscoring the need for further investigation into pre-service teachers' information acquisition, evaluation practices as well as their perceived relevance to teaching, and person-related factors associated with their perceived competence in teaching information literacy.

Method

An online questionnaire was presented to participants, employing a mixed-method approach. We qualitatively examined the sources of information used by pre-service teachers and the evaluation strategies they employ, while quantitatively analyzing relationships between pre-service teachers' person-related factors and their perceived teaching competence. Participants assessed their perceived teaching competence, perceived learning opportunities, self-efficacy (general and related to information assessment), perceived informedness, selective exposure, need for cognition, need for cognitive closure, and mistrust in media coverage.

Results

Data from 371 participants revealed digital media dominance in information acquisition over traditional sources, albeit with a prevalence of surface-level evaluation strategies over reflective approaches. Two distinct dimensions of perceived competence in teaching information literacy emerged: one focusing on information assessment while the other centers on the understanding of news creation processes. Perceived competence in teaching information literacy was significantly associated with self-efficacy in information assessment, perceived informedness, selective exposure to information as well as perceived learning opportunities focusing on information evaluation. Moreover, pre-service teachers employing diverse information evaluation strategies demonstrated a heightened sense of perceived competence in teaching information assessment.

Discussion

Our results provide valuable insights into the multifaceted nature of pre-service teachers' perceived competence in teaching information literacy. Theoretical implications for future research as well as practical implications for teacher education and the structure of future curricula are discussed.

Attitudes towards AI: measurement and associations with personality

Artificial intelligence (AI) has become an integral part of many contemporary technologies, such as social media platforms, smart devices, and global logistics systems. At the same time, research on the public acceptance of AI shows that many people feel quite apprehensive about the potential of such technologies-an observation that has been connected to both demographic and sociocultural user variables (e.g., age, previous media exposure). Yet, due to divergent and often ad-hoc measurements of AI-related attitudes, the current body of evidence remains inconclusive. Likewise, it is still unclear if attitudes towards AI are also affected by users' personality traits. In response to these research gaps, we offer a two-fold contribution. First, we present a novel, psychologically informed questionnaire (ATTARI-12) that captures attitudes towards AI as a single construct, independent of specific contexts or applications. Having observed good reliability and validity for our new measure across two studies (N1 = 490; N2 = 150), we examine several personality traits-the Big Five, the Dark Triad, and conspiracy mentality-as potential predictors of AI-related attitudes in a third study (N3 = 298). We find that agreeableness and younger age predict a more positive view towards artificially intelligent technology, whereas the susceptibility to conspiracy beliefs connects to a more negative attitude. Our findings are discussed considering potential limitations and future directions for research and practice.

Personality and misinformation

Misinformation poses a significant concern, promoting false beliefs and eroding trust in media. People differ in their susceptibility to believe and to share misinformation. In this article, we reviewed recent research on relationships between personality traits and belief in and sharing of misinformation. Findings show that more extroverted and less conscientious and agreeable people tend to be more susceptible to believing in and sharing misinformation. Additionally, the Dark Triad personality traits of narcissism, psychopathy, and Machiavellianism tend to be positively associated with sharing of misinformation, and narcissism and psychopathy are associated with greater belief in misinformation. Understanding these individual differences can inform interventions to reduce the effects of misinformation.

The Influence of News Consumption Habits and Dispositional Traits on Trust in Medical Scientists

Public trust in medical institutions is essential for ensuring compliance with medical directives. However, the politicization of public health issues and the polarized nature of major news outlets suggest that partisanship and news consumption habits can influence medical trust. This study employed a survey with 858 participants and used regression analysis to assesses how news consumption habits and information assessment traits (IATs) influence trust in medical scientists. IATs included were conscientiousness, openness, need for cognitive closure (NFCC), and cognitive reflective thinking (CRT). News sources were classified on the basis of factuality and political bias. Initially, readership of liberally biased news was positively associated with medical trust (p < 0.05). However, this association disappeared when controlling for the news source's factuality (p = 0.28), while CRT (p < 0.05) was positively associated with medical trust. When controlling for conservatively biased news sources, factuality of the news source (p < 0.05) and NFCC (p < 0.05) were positively associated with medical trust. While partisan media bias may influence medical trust, these results suggest that those who have higher abilities to assess information and who prefer more credible news sources have a greater trust in medical scientists.

Linking primary emotional traits to ideological attitudes and personal value types

The present study aimed at investigating associations of both ideological attitudes and personal value types with the personality traits derived from the Affective Neuroscience Theory (ANT). For that, data of N = 626 (n = 403 men, n = 220 women, n = 3 identifying as neither a man nor a woman) participants of an online survey in the German language were analyzed. Relations of primary emotional traits derived from the ANT with Right-Wing Authoritarianism (RWA), Social Dominance Orientation (SDO), and personal value types, such as the higher-order value type dimensions "Conservation-Openness to Change" and "Self-Enhancement-Self-Transcendence", were examined by means of correlational analyses and structural equation modeling. Results revealed among others relations between low SEEKING, high ANGER and high RWA. Low CARE and high ANGER were associated with high SDO. Moreover, FEAR was related to the higher-order value type dimension ranging from Conservation to Openness to Change. ANGER was associated with the higher-order value type dimension ranging from Self-Enhancement to Self-Transcendence. The present results do not only expand knowledge on the personality traits associated with ideological attitudes and personal value types. Beyond this, considering the neuroanatomical, functional, and neurochemical correlates of the primary emotional traits SEEKING, ANGER, CARE, and FEAR, the present results may provide a roadmap for forthcoming studies aiming at examining biological correlates of ideological attitudes and personal value types, such as those works in the field of political neuroscience.

Fake news: Why do we believe it?

Fake news dissemination has increased greatly in recent years, with peaks during the US presidential elections and the COVID-19 pandemic. Research has addressed fake news creation, consumption, sharing, and detection as well as approaches to counteract it and prevent people from believing it. This update addresses only a part of the fake news-related issues and focuses on determinants leading individuals to believe fake news, noting that rheumatology is scarcely represented. Some determinants relate to the ecosystem of media and social networks, such as the availability and rapid spread of fake news, the unselected information on platforms and the fact that consumers can become creators of fake news. Cognitive factors are important, such as confirmation bias, political partisanship, prior exposure and intuitive thinking. Low science knowledge and low educational level are also involved. Psychological factors include attraction to novelty, high emotional state, and the emotionally evocative content of fake news. High digital literacy protects against believing fake news. Sociological factors such as online communities, or echo chambers, and the role of pressure groups have been identified. The implication for practice can be deduced, including education in media literacy and warning tips, reliable journalism and fact-checking, social media regulation, partnership of media platforms’ with fact-checkers, warning messages on networks, and digital detection solutions. Health professionals need to better understand the factors that cause individuals to believe fake news. Identifying these determinants may help them in their counseling role when talking to patients about misinformation.

Social Psychological Predictors of Belief in Fake News in the Run-Up to the 2019 Hungarian Elections: The Importance of Conspiracy Mentality Supports the Notion of Ideological Symmetry in Fake News Belief

Accessing information online is now easier than ever. However, also false information is circulated in increasing quantities. We sought to identify social psychological factors that could explain why some people are more susceptible to false information. Specifically, we investigated whether psychological predispositions (social dominance orientation, right-wing authoritarianism, system justification beliefs (SJB), openness, need for closure, conspiracy mentality), competencies (scientific and political knowledge, interest in politics) or motivated reasoning based on social identity (political orientation) could help explain who believes fake news. Hungarian participants (N = 295) judged political (anti- and pro-government) and non-political news. The Hungarian context-characterized by low trust in media, populist communication by the government and increasing polarization-should be fertile ground for the proliferation of fake news. The context in making this case particularly interesting is that the major political fault line in Hungary runs between pro- and anti-government supporter groups and not, for instance, between conservative and liberal ideology or partisanship. We found clear support for the motivational reasoning explanation as political orientation consistently predicted belief in both fake and real political news when their contents aligned with one's political identity. The belief in pro-government news was also associated with higher SJB among pro-government supporters. Those interested in politics showed better capacity to distinguish real political news from the fake ones. Most importantly, the only psychological predisposition that consistently explained belief in all types of fake news was a conspiracy mentality. This supports the notion of ideological symmetry in fake news belief-where a conspiracy mentality can be found across the political spectrum, and it can make people susceptible to disinformation regardless of group-memberships and other individual differences.