Pre-existing Attitudes Research Articles

Trust it or not: Understanding users’ motivations and strategies for assessing the credibility of AI-generated information

The evolution of artificial intelligence (AI) facilitates the creation of multimodal information of mixed quality, intensifying the challenges individuals face when assessing information credibility. Through in-depth interviews with users of generative AI platforms, this study investigates the underlying motivations and multidimensional approaches people use to assess the credibility of AI-generated information. Four major motivations driving users to authenticate information are identified: expectancy violation, task features, personal involvement, and pre-existing attitudes. Users evaluate AI-generated information’s credibility using both internal (e.g. relying on AI affordances, content integrity, and subjective expertise) and external approaches (e.g. iterative interaction, cross-validation, and practical testing). Theoretical and practical implications are discussed in the context of AI-generated content assessment.

Do You See What I See? Emotional Reaction to Visual Content in the Online Debate About Climate Change

ABSTRACT This paper explores the visual echo chamber effect in online climate change communication. We analyze communication by progressive actors and counteractors involved in the public debate about climate change on Facebook, to address the possibility that visual content can bridge ideologically diverse communities. Specifically, we investigate whether visual content depicting protest serves this purpose. The findings reveal a small amount of shared visual content. Interestingly, the emotional reactions to this content for the most part diverge significantly, suggesting that pre-existing attitudes, such as climate ideological position, influence interpretation. Contrary to our expectations, however, we do not observe visual content representing protest activity bridging the two groups. This work posits the possibility of a two-fold (de)polarization around visual content that both connects and divides, which contributes to a more nuanced understanding of the social dynamics that create and sustain the echo chamber effect observed in online climate change debates. KEY POLICY HIGHLIGHTS Even when taking into account visual communication, the online debate around climate change is characterized by the presence of echo chambers with only a small fraction of content that circulates among both climate activists and climate skeptics. In cases where the same visual content circulates within the two groups, the emotional reactions are often opposed, with reactions that are more defined by the pre-existing climate ideological alignment than with an actual engagement with the content.

What makes a devoted local-food-buying club customer?

Local food-buying clubs (LFBCs) are special types of consumer-driven grassroots groups that are particularly well suited to enhancing the transition to a post-growth economy, given the finite growth potential of individual communities, the tendency of groups to distribute rather than accumulate capital, and the prospects of the movement for expansion. This paper analyses consumers of LFBCs and analyses how the different constructs proposed by the theory of planned behaviour are applicable according to engagement with LFBCs. A representative survey was run in May 2020 in Hungary. Respondents who were classified as devoted (regular) LFBC customers, occasional LFBC customers, and consumers not interested in local food were compared pairwise through matching-based treatment effect analysis approaches. Consumers of LFBCs comprised a heterogeneous group based on their pre-existing beliefs and attitudes. Occasional LFBC customers emphasised the broad quality-related features of local food and the potential for supporting local farmers. For more devoted customers, environmental aspects were very important. As belonging to a group has been shown to shape attitudes, targeted messages applied by LFBC managers may increase the level of engagement, contributing to the more efficient scaling up of local food systems.

College students in the southern US can change their views about evolution

ABSTRACT Students enrolled in two sections of a first-year non-majors biology course at a mid-sized university in the Mid-South were administered an instrument pre- and post-course comprised of the Measure of the Acceptance of the Theory of Evolution (MATE), the Generalized Acceptance of EvolutioN Evaluation (GAENE), 10 items related to pre-existing attitudes towards science and religion, and demographic items. Students in both sections received instruction in evolution, with one section receiving a supplemental presentation on the varying views within creationism. Correlations between MATE and GAENE scores were calculated, and comparisons were made between sections on changes in scores for both measures. We sought to answer these questions: 1) What is the current level of acceptance among first-year students in the Mid-South? 2) Are students amenable to changing their views? 3) Does discussing various creationist views matter? 4) Do demographics or pre-existing attitudes predict students’ acceptance? Students in both sections showed significant increases in acceptance, though no difference in the degree of increase was detected between the supplemented and standard instruction sections. Public high school graduates had higher initial acceptance than non-public school students. Strong correlations between measurement instruments were detected.

Factors associated with encounter-specific police procedural justice perceptions among Dutch detainees

ABSTRACT Previous research on police procedural justice shows that observed assessments of police behaviour, for example through systematic social observation, are not strongly correlated with citizen perceptions of the same police behaviour. There is a growing body of knowledge about how people form their perceptions of police behaviour and how personal and situational characteristics are associated with specific judgements about procedural justice. However, we know little about how this works for people who most frequently interact with the police and criminal justice system, such as offenders or arrestees. The present study uses data from the Prison Project to examine to what extent individual and situational characteristics relate to perceptions of encounter-specific police procedural justice among Dutch detainees. Male adults in pre-trial detention (N = 1380) were surveyed on how they perceived procedural justice during their arrest, which occurred approximately three weeks prior. In addition to individual characteristics (demographics, attitudes, psychosocial characteristics and criminal history), we measured characteristics that reflect the situation during arrest, such as location, police verbal abuse and unnecessary use of force. This allowed us to examine the relationship between situational factors and detainee perceptions, net of individual characteristics. Regression analyses show that next to pre-existing general attitudes towards the police, several situational characteristics (i.e. perceptions of use of force and verbal abuse, anger and outcome fairness) were strongly associated with encounter-specific procedural justice perceptions. Our results indicate that, beyond (pre-existing) individual characteristics, situational factors of the arrest play an important role in forming specific procedural justice perceptions of the police.

How Do People Perceive Immigrants? Relating Perceptions to Numbers

Abstract How does the general public perceive immigrants, whom do they think of when thinking about “immigrants,” and to what extent are these perceptions related to the actual composition of immigrant populations? We use three representative online surveys in the United States, South Africa, and Switzerland (total N = 2,778) to extend existing work on the perception of immigrants in terms of geographic coverage and individual characteristics. We also relate these responses to official statistics on immigration and integration patterns. In all three countries, there are significant discrepancies between perceptions of immigrants and their real proportion in the population and characteristics. Although we observe clear country differences, there is a striking pattern of people associating “immigrants” with “asylum seekers” in all three countries. We consider two possible explanations for the differences between perceptions and facts: the representativeness heuristic and the affect heuristic. In contrast to previous research, we find only partial support for the representativeness heuristic, whereas the results are consistent with the affect heuristic. We conclude that images of “immigrants” are largely shaped by pre-existing attitudes.

The impact of confirmation bias awareness on mitigating susceptibility to misinformation.

In the current digital age, the proliferation of misinformation presents a formidable challenge to a democratic society. False narratives surrounding vaccination efforts pose a significant public health risk. Understanding the role of cognitive biases in susceptibility to misinformation is crucial in addressing this challenge. Confirmation bias, characterized by the tendency to favor information that aligns with pre-existing beliefs or attitudes, can exacerbate the spread of false narratives. This study investigates the effect of confirmation bias awareness on susceptibility to general misinformation. For this, a sample of 1,479 participants was recruited, ensuring diverse representation across attitudes towards vaccination. Half of the participants received targeted information about confirmation bias, aimed at increasing awareness of this bias and its potential impact on cognitive processing of information. The other half did not receive this information. Results from the study indicated that participants exposed to an intervention aimed at inducing awareness of confirmation bias demonstrated reduced susceptibility to misinformation and increased ability to general discernment of veracity. Notably, these effects were only pronounced among individuals who initially were most negative towards COVID-19 vaccines. These insights provide a foundation for developing targeted strategies to promote informed decision-making and mitigate the spread of misinformation, particularly in the context of public health crises. Further research is warranted to explore the underlying mechanisms driving these effects and to refine intervention approaches for diverse populations and contexts.

Investigating the Role of Adaptivity in Video Games for Attitude Change

Video games have become one of the most widespread forms of media in the 21st century, bringing interactive digital narratives to over 3 billion people globally. Like other media, video games feature topics from our society, culture, and history. Research has shown that narrative-driven video games have a unique potential to influence explicit and implicit attitudes toward the topics they depict. However, the concrete mechanisms through which video games shape our attitudes remain unclear. Identifying the mechanisms behind the attitude-shaping effect would help to design more effective educational games and simulations. One aspect that reduces the potential of video games to change attitudes is a so-called credibility bias, a phenomenon where information contradicting one’s pre-existing beliefs is deemed less credible. For this reason, our work focuses on employing adaptivity to improve the attitude-shaping effect of video games. We hypothesize that adapting gameplay elements based on players’ pre-existing attitudes will mitigate the credibility bias, leading to greater attitude changes and enhanced game enjoyment compared to a static presentation. We propose assessing players’ attitudes before playing and adapting the game content accordingly, utilizing in-game metrics to track players’ actions to further refine the content. This work focuses on adapting highlights in user interfaces, narrative-related messages, and in-game goals. To empirically test our hypothesis, we have developed two versions of a video game – an experimental version featuring adaptive game elements and a control version with static content. For this proof-of-concept experiment, we have chosen the topic of electromobility, but we designed the adaptive elements to be usable with any topic. The experimental game is a delivery manager simulator featuring electric and combustion engine cars, with the aim of showcasing the usability and advantages of electric cars. Our experimental design involves a pretest-posttest setup with an experimental and a control group. We utilize measures for implicit and explicit attitudes and game enjoyment. This empirical study will bring valuable data reacting to the identified research gap. Should the adaptive approach prove to be usable, it could be widely utilized to improve the attitude-shaping potential of educational games.

Media priming and immigration attitudes: Moderating effects of political ideology

ABSTRACT The present study investigates whether the amount of media coverage about immigration influences individuals’ attitudes toward this topic. It was expected that such media priming effects would be dependent on preexisting partisan attitudes. Accordingly, it was hypothesized that media priming effects might be observable exclusively in individuals who identify with either the right or left of the political spectrum. The hypothesis is based on the assumption that these individuals associate specific ideas with the topic of immigration, which they recall from memory when confronted directly or indirectly with related media content. Conversely, no priming effect was expected for individuals who identify as centrists. The empirical analysis utilized survey data, contextualizing statistical country data, and data from content analyses of national newspapers collected in six Western European countries between 2002 and 2018. Contrary to expectations, the results showed that higher media coverage is generally associated with positive immigration attitudes across all political orientations. However, this relationship is notably weaker for those on the political right and just slightly stronger for those on the political left. These findings show patterns that are consistent with media priming theory, which posits that media can activate preexisting beliefs.

Changing Medical Student Perceptions of Mental Illness Through a Psychiatry Clinical Clerkship: A Longitudinal Qualitative Study

Abstract Objective This study sought to understand whether perceptions of mental illness change during the course of students’ psychiatry clerkships, and what facilitates such change. Methods Using a longitudinal qualitative study design, the authors followed up 14 medical students, interviewing them before, during, and after their psychiatric clerkship. Results Prior to clerkships, students perceived psychiatric patients to be dangerous, fragile, hard to treat, and to exert a disproportionate emotional toll on clinicians. Stigma was reinforced by safety measures including the provision of alarms, but this improved following “real life” engagement with patients. Students experienced little emotional distress from clinical contacts, particularly those where they led the consultation. Pre-existing beliefs about mental illness being hard to “fix” showed less change over time. Although uncommon, when staff referred to patients using pejorative language, students emulated these negative attitudes. Conclusions Among medical students, direct patient contact plays an important role in counteracting pre-existing negative attitudes towards mental illness. This can be facilitated by supportive supervisors, clinical teams allocating students a clear practical role, involving patients in teaching, and roleplay to alleviate potential concerns about seeing patients.

The effects of single education session on physiotherapy students' knowledge levels and thoughts on accreditation.

and Purpose: In the global landscape, quality assurance is paramount for educational institutions to adapt and thrive. The accreditation process involves evaluating an institution's quality according to standards established by experts and officially documenting its level of quality. This study aimed to assess the impact of a single educational session on physiotherapy and rehabilitation students' awareness and understanding of accreditation processes, recognizing their vital role in quality assurance. A pretest-posttest design was employed with 211 students from a physiotherapy and rehabilitation department. Data were collected using a questionnaire assessing demographic information, knowledge about accreditation, and thoughts regarding accreditation. The educational session focused on accreditation criteria and processes, involving presentations and interactive discussions. McNemar's analysis was used to compare the response rates given by the students pre-and post-session. Analysis after the education session revealed a significant increase in students' knowledge of accreditation concepts (p<0.05). Positive attitudes towards accreditation were reinforced, with students recognizing its importance in education quality. Despite pre-existing positive attitudes, the educational intervention enhanced students' understanding and engagement in accreditation processes with a significant increase in three of the eight questions on thoughts about accreditation (p<0.05). This study underscores the efficacy of educational interventions in fostering student engagement and awareness of accreditation. Findings suggest the need for integrating accreditation education into curricula and advocating its significance through seminars and literature support, ultimately enhancing student participation in quality assurance processes.

The impact of self-directed learning on reducing single use plastic in back-of-house restaurant operations

ABSTRACT The purpose of the study was to determine the barriers to single-use plastic (SUP) reduction, specifically in the back-of-house (BOH) of restaurants, based on preexisting attitudes and perceived barriers. The associated psychological barriers were reflected upon in the context of adult learning theory and self-directed learning, as a novel setting in which to apply these theories. This study assessed the barriers to SUP reduction in restaurants by conducting fourteen qualitative interviews with small- to medium-sized restaurant operators in Canada which were digitally transcribed verbatim and analyzed using thematic content analysis. The study found that the most common barriers to reducing SUPs in the BOH are: cost, lack of time, and suppliers. The study also finds that there is a disconnect between the participants’ attitudes toward SUPs and their perceived barriers, and that there is a lack of access to resources for learning as a barrier. This study adds to self-directed learnings theory’s influence and limitations on sustainability behaviors and the application of self-directed learning to a unique setting. It also concludes that the restaurant BOH environment is akin to a self-directed learning environment. This study has implications for restaurant owners and operators attempting to reduce their SUP consumption.

Mental Health Needs of Asian American Older Adults: Bridging the Inequity Gap.

The mental health needs of Asian American older adults are complex and multifaceted. Despite their rich diversity, Asian American older adults face significant challenges, including mental health stigma, cultural stress, limited English proficiency, and historical trauma. In addition, the coronavirus disease 2019 pandemic reignited preexisting anti-Asian attitudes of hostility, discrimination, blame, and scapegoating. The historical context of Asian immigration to the United States, impact of race-based discrimination, and recent resurgence of anti-Asian hate crimes impact mental health in Asian American older adults. Thus, there is a need for a culturally sensitive and competent mental health care workforce, culturally tailored interventions, and family involvement. In the context of research and policy, it is critical to prioritize increased funding and research focus on culturally tailored instrument development, interventions, and policy initiatives informed by recent findings to safeguard this population from hate crimes and discrimination. [Journal of Psychosocial Nursing and Mental Health Services, 62(7), 11-15.].

Enhancing mathematics education in the UAE: Elementary teachers’ views on distance education methods

The COVID-19 pandemic has brought about an unprecedented reliance on digital technologies in education, regardless of the pre-existing attitude of teachers. This study explores elementary school teachers’ perceptions about teaching mathematics through distance education. Using a quantitative approach, an online questionnaire was administered to primary teachers in the UAE during the spring semester of 2020-2021. The results show teachers’ readiness to adopt digital technology in teaching against increased workload. Difficulties emerged in optimizing student performance in online environments. While the institution supports digital integration, teachers prefer traditional in-person classroom instruction. Therefore, the research would inform some educational systems and curriculum planning worldwide on the best way to integrate digital technology within elementary mathematics education. The study aims to close the gap in mathematics education within a digital context to solve the emerging educational demands.

Pharmaceutical messianism and the politics of COVID-19 in the United States

ABSTRACT Throughout the COVID-19 pandemic, public officials in the United States – from the President to governors, mayors, lawmakers, and even school district commissioners – touted unproven treatments for COVID-19 alongside, and sometimes as opposed to, mask and vaccine mandates. Utilising the framework of ‘pharmaceutical messianism’, our article focuses on three such cures – hydroxychloroquine, ivermectin, and monoclonal antibodies – to explore how pharmaceuticals were mobilised within politicised pandemic discourses. Using the states of Utah, Texas, and Florida as illustrative examples, we make the case for paying attention to pharmaceutical messianism at the subnational and local levels, which can very well determine pandemic responses and outcomes in contexts such as the US where subnational governments have wide autonomy. Moreover, we argue that aside from the affordability of the treatments being studied and the heterodox knowledge claiming their efficacy, the widespread uptake of these cures was also informed by popular medical (including immunological) knowledge, pre-existing attitudes toward ‘orthodox’ measures like vaccines and masks, and mistrust toward authorities and institutions identified with the ‘medical establishment’. Taken together, our case studies affirm the recurrent nature of pharmaceutical messianism in times of health crises – while also refining the concept and exposing its limitations.

Understanding and Mitigating Bias in Imaging Artificial Intelligence.

Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model development, with potential for exacerbating health disparities. However, bias in imaging AI is a complex topic that encompasses multiple coexisting definitions. Bias may refer to unequal preference to a person or group owing to preexisting attitudes or beliefs, either intentional or unintentional. However, cognitive bias refers to systematic deviation from objective judgment due to reliance on heuristics, and statistical bias refers to differences between true and expected values, commonly manifesting as systematic error in model prediction (ie, a model with output unrepresentative of real-world conditions). Clinical decisions informed by biased models may lead to patient harm due to action on inaccurate AI results or exacerbate health inequities due to differing performance among patient populations. However, while inequitable bias can harm patients in this context, a mindful approach leveraging equitable bias can address underrepresentation of minority groups or rare diseases. Radiologists should also be aware of bias after AI deployment such as automation bias, or a tendency to agree with automated decisions despite contrary evidence. Understanding common sources of imaging AI bias and the consequences of using biased models can guide preventive measures to mitigate its impact. Accordingly, the authors focus on sources of bias at stages along the imaging machine learning life cycle, attempting to simplify potentially intimidating technical terminology for general radiologists using AI tools in practice or collaborating with data scientists and engineers for AI tool development. The authors review definitions of bias in AI, describe common sources of bias, and present recommendations to guide quality control measures to mitigate the impact of bias in imaging AI. Understanding the terms featured in this article will enable a proactive approach to identifying and mitigating bias in imaging AI. Published under a CC BY 4.0 license. Test Your Knowledge questions for this article are available in the supplemental material. See the invited commentary by Rouzrokh and Erickson in this issue.

Contextualizing Individual Attitudes on Economic Statecraft

Abstract When do US citizens express greater support for economic intervention abroad in response to violations of international norms? Under what conditions do they express greater support for punitive sanctions or positive inducements? We know little about whether and to what extent citizens offer greater support for sanctions compared to positive inducements and how contextual factors might alter support for each. We design a conjoint survey experiment to gauge support for an intervention—i.e., sanctions or inducements—using comparable counterfactuals. We compare long-enduring bad behavior to recent shocks, differently framed consequences of inaction, as well as varying expertise levels among policy proposal authors. We also consider preexisting attitudes about the target country. In a US sample, we find that policy proposals are supported to a greater extent when they involve sanctions as opposed to inducements, but that preexisting affinity toward the country has a strong conditioning impact.

Uncovering associations between interest in One Health and pre-existing conditions and behaviours: Evidence from a UK survey

This paper endeavours to unveil individual characteristics associated with an interest in One Health. Through the distribution of an online survey randomly distributed among the United Kingdom population, we discovered significant correlations between pre-existing attitudes towards and relationships with nature and animals and interest in One Health, which is quantified by the number of additional pages of One Health information participants agreed to view at the survey's conclusion. Additionally, individuals with poorer mental health demonstrated a higher level of interest in One Health. The findings suggest that interest in One Health and people's connections with nature and animals are driven by the same personal preferences. These insights point towards the potential for more targeted communication strategies to specific groups, facilitating more effective promotion of the One Health concept.

The Influence of Sexism and Incivility in WhatsApp Political Discussions on Affective Polarization: Evidence from a 2022 Multi-Party Election in India

In contemporary political discourse, the concern of affective polarization, often fueled by uncivil and sexist discourse, is notably evident in digital communication contexts like WhatsApp. In this study, we examined the potential effects of uncivil and sexist messages as well as moderator interventions against these messages coming from political in- and out-group members in such political groups through a survey experiment ( N = 1,464) fielded during the 2022 Uttar Pradesh (India) Legislative Assembly Elections. We investigate these questions and extend the prior work on affective polarization by introducing a new measure of Average Inter-party Affective Distance, which provides a single metric to index overall polarization in a multi-party election context. Our results showed that exposure to sexist uncivil messages had no discernible effect on affective polarization, political participation, and voting intention. Additionally, moderator warnings against incivility had no significant effects. However, we observed a variation in how respondents processed these messages based on their preexisting attitudes; notably, individuals with less sexist views were more inclined to vote after being exposed to sexist uncivil messages. These findings suggest that the influence of incivility and sexism in messaging platforms like WhatsApp on the wider electorate’s political behavior and attitudes is relatively limited. This research contributes to our understanding of the role of digital political communication, highlighting the importance of message content and preexisting individual differences in shaping affective polarization and mobilization.

Shaping Adoption and Sustained Use Across the Maternal Journey: Qualitative Study on Perceived Usability and Credibility in Digital Health Tools.

Maternal and child health outcomes are positively influenced by early intervention, and digital health (DH) tools provide the potential for a low-cost and scalable solution such as informational platforms or digital tracking tools. Despite the wide availability of DH tools out there for women from before to after pregnancy, user engagement remains low. This study aims to explore the factors that shape women's DH adoption and sustained use across the maternal journey from preconception to postbirth, to improve user engagement with DH tools. One-hour semistructured qualitative interviews were conducted with 44 women from before to after pregnancy (age range 21-40 years) about their experiences with DH. This study is part of a larger study on women's maternal experiences with health care and DH and focuses on the factors that affected women's DH adoption and sustained use. Interviews were audio recorded, transcribed verbatim, and analyzed using inductive thematic analysis. Five main themes and 10 subthemes were identified that affected women's adoption and sustained use of DH tools. These included themes on their preexisting attitudes to DH, perceived ease of use, perceived usefulness, perceived credibility, and perceived value of the tool. The themes that emerged were fully or partially mapped according to the Unified Theory of Acceptance and Use of Technology 2 model. The applicability of the model and the need to consider specific cultural nuances in the Asian context (such as the importance of trust and social influence) are discussed. The interaction of the 5 themes with DH adoption and sustained use are explored with different themes being relevant at various points of the DH adoption journey. The insights gained serve to inform future DH design and implementation of tools for women to optimize their DH engagement and the benefits they derive from it. ClinicalTrials.gov NCT05099900; https://clinicaltrials.gov/study/NCT05099900.