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Trust is one of the highly important concepts of consumer research; yet it is characterized by a striking lack of generalizations and consensus regarding the relative strength of its antecedents, consequences, and moderators. To close this important gap, the current research reports a comprehensive large-scale meta-analysis shedding light on a wide variety of the antecedents, consequences, and moderators of the individual consumer's trust and their relative importance. Empirical generalizations are based on 2,147 effect sizes from 549 studies across 469 manuscripts in numerous disciplines, representing a total of 324,834 respondents in 71 countries over a five-decade span (1970–2020). The key findings are thus that (1) integrity-based (vs. reliability-based) antecedents are more effective in driving trust, and (2) trust is more effective in improving primarily attitudinal (vs. primarily behavioral) outcomes. Moderation analyses unpack further heterogeneity. Notably, both integrity-based and reliability-based antecedents have become stronger drivers of consumer trust in recent years. Theoretical and practical contributions are discussed in addition to advancing important future directions. [ABSTRACT FROM AUTHOR]

The tutelage of our mentors as scientists included the analogy that writing a good scientific paper was an exercise in storytelling that omitted unessential details that did not move the story forward or that detracted from the overall message. However, the advice to not get lost in the details had an important flaw. In science, it is the many details of the data themselves and the methods used to generate and analyze them that give conclusions their probative meaning. Facts may sometimes slow or distract from the clarity, tidiness, intrigue, or flow of the narrative, but nevertheless they are important for the assessment of what was done, the trustworthiness of the science, and the meaning of the findings. Nevertheless, many critical elements and facts about research studies may be omitted from the narrative and become hidden from scholarly scrutiny. We describe a bakers dozen shortfalls in which such elements that are pertinent to evaluating the validity of scientific studies are sometimes hidden in reports of the work. Such shortfalls may be intentional or unintentional or lie somewhere in between. Additionally, shortfalls may occur at the level of the individual or an institution or of the entire system itself. We conclude by proposing countermeasures to these shortfalls.

This paper examines the qualities of governments that influence their perceived trustworthiness, presenting the first experimental study of the distinct roles of ‘competence’, ‘benevolence’ and ‘integrity’ (CBI) in shaping trust in government. We empirically test the effects of these three dimensions of trustworthiness through conjoint experiments conducted in five countries: Britain, Croatia, Spain, Argentina and France. The results indicate that benevolence – government acting in citizens' interests – is the most significant determinant of trust judgements across individuals and nations. Competence and integrity have a secondary, approximately equal effect. Building on recent advances in analyses of conjoint experiments, we explore how these attributes are conditional on each other, and how respondent characteristics moderate those effects. The findings reveal that the effects of attributes are generally consistent, although respondent left‐right ideology moderates the impact of government competence. [ABSTRACT FROM AUTHOR]

The aim of this study is to determine the relationship between social support networks and teachers' well-being, particularly in the context of stress, workload, and psychological challenges. It underscores the pivotal role of supportive environments in enhancing job satisfaction and coping strategies for educators. By investigating the specific challenges faced by teachers in the Monkayo West district, such as workload, financial issues, and interpersonal dynamics, it aims to evaluate the impact of social support networks on overall well-being. This study used a universal sample method, in which the complete population of elementary teachers of Monkayo west district participated. It covers the data collection procedures, data analysis methods, trustworthiness, credibility, and ethical considerations. The findings indicated that age bracket, and sex is not a determining factor in a level of social support networks and teachers well being or there is no significant difference in social support networks and teacher wellbeing when assessed according to age and sex. The results reveal that there is a significant relationship between social support and teacher well-being. It was established that elementary teachers in Monkayo West District have a favorable work environment, an exceptional level of social support, and extremely satisfactory teacher well-being. The strong association between social support networks and teacher well-being stressed the critical function of supportive networks in boosting teacher well-being and building a pleasant work environment conducive to job satisfaction and professional development. [ABSTRACT FROM AUTHOR]

The present study aimed to investigate how facial features, including facial ratio, eye shape, and mouth presence, influence users' perceptions of social robots in terms of anthropomorphism, trustworthiness, and overall impressions. Using electroencephalogram (EEG) and eye-tracking technologies, we conducted a 2 (face ratio) × 2 (eye shape) × 2 (with or without mouth) full factorial experiment designed within-subject. EEG signals and pupil diameters were recorded while participants viewed images of robots with different facial design features. The results showed that the shape of robot's eyes significantly influenced users' perceptions, with round eyes being associated with higher ratings of anthropomorphism, trustworthiness, and overall positivity. Robots with lower facial width-to-height ratios (fWHR) induced smaller average pupil diameters in users than those with high fWHR. Additionally, robots with lower fWHR were perceived as more anthropomorphic, trustworthy and users produced higher theta rhythm when the eye shape was round but did not when it was rectangular. The presence of a mouth led to higher ratings of anthropomorphism rather than trustworthiness and other measures. Overall, the findings highlight the importance of facial features in shaping users' perceptions of social robots and provide practical implications for designing social robots with anthropomorphic facial features. [ABSTRACT FROM AUTHOR]

Fake news and disinformation are easily spread in today's digital society. Therefore, it is important that students learn how to evaluate the trustworthiness of online information, but this skill is often confined to a limited number of subjects in secondary education. History classes can potentially contribute to developing this skill. Therefore, the first aim of this study was to investigate whether there is a relationship between how Grade 9 students (N = 112) perform while evaluating the trustworthiness of historical sources and internet sources. Average student performance on both kinds of sources was similar, but the distribution of the scores was significantly different. There was a moderate correlation between students’ total scores on the historical task and the internet task. Two of the three criteria of trustworthiness that could be used on both kinds of sources were used by a great majority in both tasks. The second aim was to gain more insight into students’ (N = 8) and teachers’ perspectives (N = 8) on the usefulness of the evaluation skill learned in history class for other contexts, especially when searching on the internet. While most of the teachers mentioned the importance of the skill when using the internet, none of the students did so spontaneously. We suggest that history classrooms are an appropriate place to teach students not only about historical sources but also about internet sources, provided that more explicit attention is given to the relationship between both types of sources. [ABSTRACT FROM AUTHOR]

Despite the wide implementation of automated services (e.g. self-service kiosks and mobile checkouts) to optimize service efficiency, restaurant customers’ perceptions related to tipping in this context have received less attention. Two between-subject experiments were conducted among US consumers. The findings reveal that explicit tip requests increase unfairness perceptions when people feel more obliged to tip (Study 1), and for those who feel a higher obligation to tip, the unfairness perceptions are enhanced when the tip is requested before the service delivery (Study 2). This study enhances the existing literature on tipping behavior and service automation, additionally providing valuable insights for restaurant managers by offering guidelines for tip requests aimed at mitigating negative customer reactions such as perceptions of unfairness and decreased trust in the restaurant. [ABSTRACT FROM AUTHOR]

Immigrants, and particularly immigrant men, are often stereotyped as untrustworthy in European societies. However, little research has examined how stereotypes of characteristics other than ethnicity might impact natives' perceptions of the trustworthiness of immigrants. Here, I test whether facial attractiveness, a trait associated with a variety of positive stereotypes, might modify ethnic biases in trustworthiness perceptions. I vary facial attractiveness and ethnicity using photo and name stimuli presented in a hypothetical "lost wallet" vignette, in which respondents assess the likelihood of the pictured man returning their lost wallet. Results from an German online panel survey indicate that while attractiveness has a modest positive effect on perceived trustworthiness, the value of attractiveness does not differ between ethnic majority German men and men with a Turkish migration background. Rather, the largest differences in the perceived trustworthiness of Turkish-origin men are found between respondents with inclusionary and exclusionary immigration attitudes, with inclusionary respondents reporting that Turkish-origin vignette persons are more trustworthy than ethnic majority German vignette persons. These results suggest that physical attractiveness does not act as a substantial moderator of ethnic biases in trustworthiness perceptions, but that immigration attitudes are highly relevant. [ABSTRACT FROM AUTHOR]

Placing our trust wisely is both difficult and important. The challenge of knowing who to trust inheres at least partially in the fact that coinciding interests cannot be taken for granted, and that language, as the principal medium through which would-be interactants make their interests known, doesn't discriminate between true and feigned proclamations of good intent. Because our patterns of trust partition the world into reliable and unreliable sources, trust is also important: it determines how we distribute our social and epistemic dependencies, which in turn informs much of what we believe and do. The fact that our interactions with the world and each other are increasingly mediated by digital communication technologies affects both these elements of trust: though unabated access to the internet invites us to distribute our dependencies more broadly, the kinds of information environments that we encounter online make misplaced trust a more common occurrence. I argue that a large part of the problem, as well as one possible set of solutions, resides in a deceptively simple dictum: the internet makes talk cheap, and cheap talk can't be trusted. [ABSTRACT FROM AUTHOR]

Justin Tosi and Brandon Warmke argue that virtue signalling – saying things in order to improve or protect your moral reputation – has a range of bad consequences and that as such there is a strong moral presumption against engaging in it. I argue that virtue signalling also has a range of good consequences, and that as such there is no default presumption either for or against engaging in it. Following from this, I argue that given that virtue signalling is sometimes bad and sometimes good, we should avoid virtue signalling when we can be confident that the consequences will be bad, and we should press on with signalling when we can be confident that the consequences will be good. For the most part, I focus on three good consequences that are related to trusting dispositions: signalling trustworthiness, avoiding distrust, and scaffolding self-trust. I also highlight some additional positive consequences that are unrelated to trust. [ABSTRACT FROM AUTHOR]

Increasing integrity concerns in medical research have prompted the development of tools to detect untrustworthy studies. Existing tools primarily assess published aggregate data (AD), though scrutiny of individual participant data (IPD) is often required to detect trustworthiness issues. Thus, we developed the IPD Integrity Tool for detecting integrity issues in randomised trials with IPD available. This manuscript describes the development of this tool. We conducted a literature review to collate and map existing integrity items. These were discussed with an expert advisory group; agreed items were included in a standardised tool and automated where possible. We piloted this tool in two IPD meta‐analyses (including 116 trials) and conducted preliminary validation checks on 13 datasets with and without known integrity issues. We identified 120 integrity items: 54 could be conducted using AD, 48 required IPD, and 18 were possible with AD, but more comprehensive with IPD. An initial reduced tool was developed through consensus involving 13 advisors, featuring 11 AD items across four domains, and 12 IPD items across eight domains. The tool was iteratively refined throughout piloting and validation. All studies with known integrity issues were accurately identified during validation. The final tool includes seven AD domains with 13 items and eight IPD domains with 18 items. The quality of evidence informing healthcare relies on trustworthy data. We describe the development of a tool to enable researchers, editors, and others to detect integrity issues using IPD. Detailed instructions for its application are published as a complementary manuscript in this issue. [ABSTRACT FROM AUTHOR]

Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature review, consultation with an expert advisory group, piloting on two IPD meta‐analyses (including 73 trials with IPD), preliminary validation on 13 datasets with and without known integrity issues, and evaluation to inform iterative refinements. The IPD Integrity Tool comprises 31 items (13 study‐level, 18 IPD‐specific). IPD‐specific items are automated where possible, and are grouped into eight domains, including unusual data patterns, baseline characteristics, correlations, date violations, patterns of allocation, internal and external inconsistencies, and plausibility of data. Users rate each item as having either no issues, some/minor issue(s), or many/major issue(s) according to decision rules, and justification for each rating is recorded. Overall, the tool guides decision‐making by determining whether a trial has no concerns, some concerns requiring further information, or major concerns warranting exclusion from evidence synthesis or publication. In our preliminary validation checks, the tool accurately identified all five studies with known integrity issues. The IPD Integrity Tool enables users to assess the integrity of RCTs via examination of IPD. The tool may be applied by evidence synthesists, editors and others to determine whether an RCT should be considered sufficiently trustworthy to contribute to the evidence base that informs policy and practice. [ABSTRACT FROM AUTHOR]

While a large literature interrogates the causes and consequences of declining political trust in democracies, considerably less work has considered the everyday leadership strategies that might arrest this trend. I tackle this gap as I ask: what can politicians do to build trust? Going beyond the performance perspective current in political science, I suggest that all politicians can build trust by (1) increasing occasions for political contact and (2) utilising authentic political communication. These arguments are developed out of interviews with national politicians in five democracies (N = 51) and tested empirically with observational and experimental survey data gathered from a longitudinal sample of the UK public (N = 705). Attesting to academic work on the contact hypothesis and 'authentic trust', as well as the testimony of politicians themselves, these analyses suggest that both strategies carry appraisive potential. These findings contribute conceptually and practically to our understanding of both trust and leadership in politics. [ABSTRACT FROM AUTHOR]

In five experiments, we investigated how Black participants perceive Duchenne and non-Duchenne smiles on Black and White targets. Results consistently demonstrated that when assessing happiness, faces with Duchenne compared to non-Duchenne smiles were rated as happier on both Black and White targets. However, when assessing a more socially evaluative dimension, trustworthiness, perceptions of Black and White targets diverged. Whereas White targets with Duchenne compared to non-Duchenne smiles were rated as more trustworthy, ratings of Black targets with Duchenne and non-Duchenne smiles did not differ, with both appraised as highly trustworthy. Although the degree to which Black participants identified with their race did not moderate these effects, the perceived genuineness of targets did mediate the relationship. One reason why Duchenne compared to non-Duchenne smiles on White but not Black targets were perceived as more trustworthy is because Duchenne compared to non-Duchenne smiles on White but not Black targets were perceived as more genuine. A final study extended these findings by exploring the impact of target race and smile type on partner choice. In accordance with the results related to trustworthiness ratings, Black participants selected White partners with Duchenne compared to non-Duchenne smiles more often but did not differentiate in their choice of Black partners with Duchenne versus non-Duchenne smiles. These findings underscore the importance of investigating not only diverse targets but also diverse perceivers. Our results suggest that Black perceivers use facial cues differently when rating the trustworthiness of Black and White targets and that these perceptions have important downstream consequences. Public Significance Statement: Given the lack of representation in the face-processing literature, researchers have recently been called upon to go beyond White participants and include other racial groups when investigating how people form impressions from facial cues. The primary goal of the present research was, therefore, to examine how Black perceivers are impacted by emotional cues in perceptions of happiness and attributions of trustworthiness to White and Black faces. Our findings indicate that Black perceivers were impacted by even subtle cues related to Duchenne and non-Duchenne smiles on both Black and White targets when assessing happiness. However, when assessing trustworthiness, these participants differed in their ratings of Duchenne and non-Duchenne smiles on White but not Black targets. Furthermore, our findings indicate that these perceptions can have important consequences for our willingness to interact with members of different racial groups. With growing racial tension and intergroup conflict, it is especially important that future research develops a deeper, more thoughtful understanding not only of White peoples' perceptions of key characteristics such as trustworthiness on White faces, as well as other racial faces, but also other racial groups' perceptions of these faces. [ABSTRACT FROM AUTHOR]

In information environments characterized by institutional distrust, fragmentation and the widespread dissemination of conspiracies and disinformation, citizens perceive misinformation as a salient and threatening issue. Especially amidst disruptive events and crises, news users are likely to believe that information is inaccurate or deceptive. Using an original 19‐country comparative survey study across diverse regions in the world (N = 19,037), we find that news users are likely to regard information on the Russian war in Ukraine as false. They are more likely to attribute false information to deliberative deception than to a lack of access to the war area or inaccurate expert knowledge. Russian sources are substantially more likely to be blamed for falsehoods than Ukrainian or Western sources – but these attribution biases depend on a country's position on the war. Our findings reveal that people mostly believe that falsehoods are intended to deceive them, and selectively associate misinformation with the opposed camp. [ABSTRACT FROM AUTHOR]

Purpose: Marketers increasingly use social media influencers to appeal to young consumers. This study aims to investigate the impact of the influencers' country of origin (COO) on young customers' online brand advocacy (OBA). It also tests the mediating effects of trustworthiness and perceived homophily on these relationships. Design/methodology/approach: Data were obtained from 197 Generation Z (Gen-Z) consumers of skin care products living in Trinidad and Tobago, using a quasi-experimental study and online self-administered questionnaires. The data were analyzed using confirmatory factor analysis, analysis of covariance and multiple regression analysis. Findings: The findings support the role of an influencer's COO on young consumers' OBA and the mediating effects of influencers' trustworthiness and perceived homophily. The findings show that local influencers have a more substantial effect on OBA for Gen-Z customers. In addition, results show that both variables of trustworthiness and perceived homophily mediate the influencer's COO and OBA relationship. The findings also show that local influencers benefit from higher levels of trustworthiness and greater perceived homophily than foreign ones. Originality/value: The study fills the gap in the marketing literature by understanding how an influencer's extrinsic characteristics, such as country of origin, can affect the marketing outcome of OBA among Gen-Z consumers in a small developing country. It also demonstrates the importance of perceived homophily and trustworthiness between influencers and audiences for marketing success. [ABSTRACT FROM AUTHOR]

Much information people receive about others reaches them via gossip. But is this gossip trustworthy? We examined this in a scenario study (N senders = 350, N observations = 700) and an interactive laboratory experiment (N senders = 126; N observations = 3024). In both studies, participants played a sequential prisoner's dilemma where a gossip sender observed a target 's (first decider's) decision and could gossip about this to a receiver (second decider). We manipulated the interdependence structure such that gossipers' outcomes were equal to targets' outcomes, equal to receivers' outcomes, or independent. Compared to no interdependence, gossip was more often false when gossipers were interdependent with targets but not when interdependent with receivers. As such, false positive gossip (self-serving when interdependent with targets) increased but false negative gossip (self-serving when interdependent with receivers) did not. In conclusion, the interdependence structure affected gossip's trustworthiness: When gossipers' outcomes were interdependent with targets, gossip was less trustworthy. [ABSTRACT FROM AUTHOR]

Scholars need to be able to trust each other, because otherwise they cannot collaborate and use each other's findings. Similarly trust is essential for research to be applied for individuals, society or the natural environment. The trustworthiness is threatened when researchers engage in questionable research practices or worse. By adopting open science practices, research becomes transparent and accountable. Only then it is possible to verify whether trust in research findings is justified. The magnitude of the issue is substantial with a prevalence of four percent for both fabrication and falsification, and more than 50% for questionable research practices. This implies that researchers regularly engage in behaviors that harm the validity and trustworthiness of their work. What is good for the quality and reliability of research is not always good for a scholarly career. Navigating this dilemma depends on how virtuous the researcher at issue is, but also on the local research climate and the perverse incentives in the way the research system functions. Research institutes, funding agencies and scholarly journals can do a lot to foster research integrity, first and foremost by improving the quality of peer review and reforming researcher assessment. [ABSTRACT FROM AUTHOR]

The cornerstone of the contextual family therapy model is predicated on the belief that all family members benefit from trustworthy relationships, which result from (a) acknowledging the contributions of deserving family members, (b) engaging in responsible interactions, and (c) ensuring a fair distribution of relational burdens and benefits. Nonetheless, conflicts may arise when one partner asserts a claim to relational resources based on need, while the other believes they are entitled to such resources based on merit. Based on relational ethics and the development of trust, this paper focuses on the therapist's role in facilitating the conflict‐resolution process to assist couples in reestablishing individual responsibility and accountability within the systemic framework of couple therapy. It elucidates several clinical strategies, including (a) cultivating trust through fairness and focusing on the importance of reciprocity and equitable give‐and‐take, (b) detecting destructive entitlement, and (c) marital relationships and ethics of care. Several clinical examples are discussed, as well as common couple relational issues associated with horizontal and vertical relationships, partnership, and fusion, and the impact of gender and power dynamics and trustworthiness based on the feminist lens. [ABSTRACT FROM AUTHOR]

Feedback is an integral part of learning in higher education and is increasingly being provided to students via modern technologies like Large Language Models (LLMs). But students’ perception of feedback from LLMs vs. feedback from educators remains unclear even though it is an important facet of feedback effectiveness. Further, feedback effectiveness can be negatively influenced by various factors; For example, (not) knowing certain characteristics about the feedback provider may bias a student’s reaction to the feedback process. To assess perceptions of LLM feedback and mitigate the negative effects of possible biases, this study investigated the potential of providing provider-information about feedback providers. In a 2×2 between-subjects design with the factors feedback provider (LLM vs. educator) and provider-information (yes vs. no), 169 German students evaluated feedback message and provider perceptions. Path analyses showed that the LLM was perceived as more trustworthy than an educator and that the provision of provider-information led to improved perceptions of the feedback. Furthermore, the effect of the provider and the feedback on perceived trustworthiness and fairness changed when provider-information was provided. Overall, our study highlights the importance of further research on feedback processes that include LLMs due to their influential nature and suggests practical recommendations for designing digital feedback processes. [ABSTRACT FROM AUTHOR]

A crucial aspect of human social competence is the ability to spontaneously and rapidly infer from facial cues whether others are likely to approach us with friendliness or hostility—that is, trustworthiness. The rapid and automatic nature of these inferences has prompted the claim that they may originate from evolutionary pressures to detect potential threats, thus enhancing our chances of survival. However, the developmental origins of this social skill remain a topic of ongoing debate. Recent evidence shows that infants' brains and looking time behaviors differentiate between faces varying along the trustworthiness continuum, but the question about the nature of the facial cues they rely on remains open. In this review, we propose the spatial frequency (SF) filtering approach (i.e., the selective removal of spatial frequency bands from the image) as a useful tool for investigating this question, and specifically whether infants' discrimination of facial expressions of emotion share common visual and neural mechanisms with discrimination of facial cues associated with trustworthiness inferences. The SF filtering approach could shed light on the neural and perceptual mechanisms underlying trustworthiness perception in infancy, providing insights into whether and how these mechanisms change across development. The evidence gathered through this method would prove critical to the understanding of the developmental origins of trustworthiness perception. [ABSTRACT FROM AUTHOR]

Facial trustworthiness impressions critically shape our everyday social interactions. While previous research has predominantly considered trustworthiness impressions to be stable over time, preliminary evidence has shown that they are affected by visual adaptation, such that long exposure to (un)trustworthy-looking faces biases the perception of following faces in the opposite trustworthiness direction. Here, by employing a visual adaptation task across two experiments, we sought further evidence that trustworthiness impressions are shaped by the temporal context. In Experiment 1, we investigated whether visual adaptation affect trustworthiness judgements and found evidence of robust negative face aftereffect. In Experiment 2, we focused our investigation on whether emotional expressions, key cues involved in trait impressions, influence trustworthiness and dominance impressions. We found that adaptation to anti-expressions, which were expected to bias subsequent neutral faces to resemble the original expression (happiness, anger, and fear), significantly modulated subsequent evaluations of trustworthiness and dominance. This result confirms the critical role of emotion perception in trait evaluations. Importantly, using anti-expressions minimised semantic adaptation, thus highlighting the perceptual nature of this aftereffect. Taken together, our findings confirm that temporal context shapes trustworthiness impressions, by showing that visual adaptation affects trust judgements, and that past emotional expressions influence following impressions of trustworthiness and dominance. [ABSTRACT FROM AUTHOR]

This study was undertaken to identify the organisational and technological factors that affect the efficiency of service delivery in trustworthy digital repositories of university libraries, where digital repositories have become increasingly common. The interpretive research paradigm, which relies on qualitative research, was adopted for the study. Data was collected through semi-structured interviews with nine participants from selected universities in the South West region of Nigeria. The data was analysed thematically to explore the factors affecting service delivery in trustworthy digital repositories. The findings show that both organisational factors (such as standardised organisation policies, stakeholders' participation and financial sustainability) and technological factors (digital repository certification, technological standards, etc.) have a significant effect on service delivery in a university-based trustworthy digital repository. It is concluded that by adopting these factors, institutions can establish digital repositories that are not merely data storage facilities, but also trusted and valuable sources of scholarly information and knowledge. [ABSTRACT FROM AUTHOR]

Judgements of trustworthiness based on facial features have mainly been investigated by presenting faces in isolation. However, real-life situations often involve contextual cues. Here, we review our work showing that judgements of trustworthiness from faces are influenced by contextual threat. Individuals are judged as less trustworthy when their faces are surrounded by threatening, as opposed to neutral or merely negative, contexts. Delving into the mechanisms underlying face-context integration, our work reveals that the bond between trustworthiness and threat goes beyond mere stimuli congruency, suggesting that threatening contexts alter person evaluation by conveying information of adaptive significance. We propose an inferential approach to face-context integration, where faces and contexts are encoded relationally: modifying this relational encoding, via verbal or emotional cues, results in changes in face-context integration. We conclude by outlining the significance of embracing the impact of contextual cues in shaping impressions from faces. [ABSTRACT FROM AUTHOR]

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of the MASS Code by the International Maritime Organization (IMO), which regulates Maritime Autonomous Surface Ships (MASS), ensuring the safety of AI-integrated systems on these vessels has become critical. To achieve safe navigation, it is essential to identify potential risks during the system planning stage and design systems that can effectively address these risks. This paper proposes RA4MAIS (Risk Assessment for Maritime Artificial Intelligence Safety), a risk identification method specifically useful for developing AI-integrated maritime systems. RA4MAIS employs a systematic approach to uncover potential risks by considering internal system failures, human interactions, environmental conditions, AI-specific characteristics, and data quality issues. The method provides structured guidance to identify unknown risk situations and supports the development of safety requirements that guide system design and implementation. A case study on an Electronic Chart Display and Information System (ECDIS) with an AI-integrated collision avoidance function demonstrates the applicability of RA4MAIS, highlighting its effectiveness in identifying specific risks related to AI performance and reliability. The proposed method offers a foundational step towards enhancing the safety of software systems, contributing to the safe operation of autonomous ships. [ABSTRACT FROM AUTHOR]

A goal of many science communicators is to foster trust in scientists and their work. This study investigates if existing textual resources that scientists create in the course of their regular activities can be improved to enhance perceptions of scientists as trustworthy. Building on Mayer et al.'s integrative model of organizational trust, we examine how communicating benevolence through short biographies can affect trustworthiness perceptions using a 3 (degree of benevolence information: high, unspecified, low) × 3 (research area: crop genetics, corn and soy genetics, biotechnology use) survey design. We find that the degree of benevolence information significantly influences perceptions of benevolence and integrity, as well as willingness to trust, with these effects being consistent across different research areas. However, the degree of benevolence communicated had no significant effect on the perceived competence of the scientists. These findings underscore the importance of highlighting benevolence in communication to positively influence trustworthiness perceptions, thus offering insights for science communication practices. [ABSTRACT FROM AUTHOR]

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This study examines the effects of managers' trusting and trustworthy behaviors toward employees on turnover rates and performance evaluations within 115 restaurants in China. Utilizing data from a large-scale hypothetical experiment involving over 2000 employees and managers, combined with performance and operational data from these restaurants, we applied both game theoretical and empirical methods to analyze the dataset. Our findings reveal that managers' trusting and trustworthy actions are significantly associated with lower turnover rates, highlighting how trust-driven leadership can enhance organizational stability and sustainable business practices. For senior associate managers, their trusting actions toward employees positively impact their performance. Furthermore, senior associate managers working in restaurants where employees are more trusting and trustworthy toward their peers tend to receive higher performance ratings. This study uniquely connects behavioral trust and trustworthiness measures with objective performance outcomes, offering new insights into the critical role of trust in fostering sustainable business practices and improving economic performance. [ABSTRACT FROM AUTHOR]

With the ever-increasing number of artificial intelligence (AI) systems, mitigating risks associated with their use has become one of the most urgent scientific and societal issues. To this end, the European Union passed the EU AI Act, proposing solution strategies that can be summarized under the umbrella term trustworthiness. In anti-cancer drug sensitivity prediction, machine learning (ML) methods are developed for application in medical decision support systems, which require an extraordinary level of trustworthiness. This review offers an overview of the ML landscape of methods for anti-cancer drug sensitivity prediction, including a brief introduction to the four major ML realms (supervised, unsupervised, semi-supervised, and reinforcement learning). In particular, we address the question to what extent trustworthiness-related properties, more specifically, interpretability and reliability, have been incorporated into anti-cancer drug sensitivity prediction methods over the previous decade. In total, we analyzed 36 papers with approaches for anti-cancer drug sensitivity prediction. Our results indicate that the need for reliability has hardly been addressed so far. Interpretability, on the other hand, has often been considered for model development. However, the concept is rather used intuitively, lacking clear definitions. Thus, we propose an easily extensible taxonomy for interpretability, unifying all prevalent connotations explicitly or implicitly used within the field. [ABSTRACT FROM AUTHOR]

Given that AI is becoming an increasingly active participant in work teams, this study explores how team trust emerges in human–AI teams compared to human–human teams. Adopting a multi‐level approach, we conducted two experimental studies (NStudy1 = 247 two‐member teams and NStudy2 = 106 three‐member teams, 828 individuals overall) and investigated how team composition (with AI or human team members) impacts interpersonal trust (affective and cognitive) and thus team trust. In two‐member teams, interpersonal trust via perceived trustworthiness and not via perceived similarity was lower in human–AI teams compared to human–human teams. Exploratory findings showed that team identification and cognitive interpersonal trust were also lower in two‐member human–AI teams than in human–human teams. However, in three‐member teams, we found no differences in team trust via interpersonal trust between the two team types. Instead, our findings revealed that perceived trustworthiness and perceived similarity increased interpersonal trust and, in turn, team trust for both team types. With this research, we showed that underlying theories and evidence of team trust in human‐only teams can enhance understanding of human–AI teams, though the results indicated certain differences that call for further investigation. [ABSTRACT FROM AUTHOR]

Cyber-Physical-Social Systems (CPSS) bring together an assortment of resources from the physical network, cyberspace, and the social sphere. These systems rely on communication, computation, and control infrastructures, which usually comprise several tiers across the three realms, utilizing diverse resources such as sensors, actuators, computational resources, services, and human involvement. The proficient interaction of these resources is critical for the operational efficacy of cyber-physical-social systems. CPSS exhibits resource constraints, openness, and uncertainty, resulting in high uncertainty in its services, including quality of service (QoS) provision and significant security risks. Consequently, an efficient and dependable service composition approach is crucial when dealing with complex service requirements. Furthermore, preference learning plays a pivotal role in enhancing user experiences. Trust is viewed as a barrier to the integration of social attributes among smart objects, which is essential for forming reliable social connections and delivering dependable services. This review offers an in-depth analysis of trustworthiness management within Cyber-Physical Social Systems (CPSS). [ABSTRACT FROM AUTHOR]

The application of deep learning models in medical diagnosis has showcased considerable efficacy in recent years. Nevertheless, a notable limitation involves the inherent lack of explainability during decision-making processes. This study addresses such a constraint by enhancing the interpretability robustness. The primary focus is directed towards refining the explanations generated by the LIME Library and LIME image explainer. This is achieved through post-processing mechanisms based on scenario-specific rules. Multiple experiments have been conducted using publicly accessible datasets related to brain tumor detection. Our proposed post-heuristic approach demonstrates significant advancements, yielding more robust and concrete results in the context of medical diagnosis. [ABSTRACT FROM AUTHOR]

Accounting conservatism has been described as deriving from preferences for reporting errors to be in the direction of understatement rather than overstatement. We pair reporters with users (who rely on reporters' information) in a multiperiod experiment. We posit that, under misaligned incentives that motivate aggressive reporting, users view aggressive reports as reflecting exploitative intent and expect that a norm prohibiting aggressive reporting applies. We predict that users use noisy reporting errors to gauge reporters' norm compliance. We find that, ceteris paribus, users prefer not to be paired with reporters producing overstatement errors likely to reflect aggressive reporting relative to reporters producing understatement errors likely to reflect conservative reporting; alternatively, we find no such asymmetric preferences when the agents' motives are aligned. The asymmetric preferences cannot be explained by agency theory predictions of payoff maximization or loss aversion. These moral preferences provide an initial condition from which conservatism can endogenously emerge. Data Availability: Data are available from the authors upon request. JEL Classifications: B52; D81; D82; M41. [ABSTRACT FROM AUTHOR]

This study aims to strengthen data security and establish credibility using novel cryptography-based techniques in the context of the digital revolution in the water resource and hydropower development industry. Protecting sensitive data and guaranteeing the confidentiality of digital assets becomes crucial as the sector depends more and more on digital technology for communication, monitoring, and project management. The goal of this work is to create developed cryptographic protocols and structures that have been tailored to the needs of the water resources and hydropower industry. This study offers a thorough investigation into the use of cryptographic methods to tackle the difficulties presented by the digital construction surroundings in these projects. The research process combines algorithm creation, theoretical advancements, and real-world application. The efficiency and viability of the suggested cryptographic approaches in resolving trust and security issues intrinsic in digital building environments will be evaluated using actual-life scenarios and simulations. The results of this study should offer a strong basis for improving data security, reliability, and integrity in digital construction projects related to water resources and hydropower. Through the development of cryptography techniques specifically suited to this vital infrastructure industry, the research helps to build digital ecosystems that are resilient and secure, which is important for the sustainable growth of hydropower and water resources. [ABSTRACT FROM AUTHOR]

Summary: Individual perceptions of team trustworthiness are critical antecedents to the development of relationships within teams. Yet, clarity is needed regarding the focus of these individual perceptions and how they change, particularly at the outset of team interactions. Two distinct research streams have emerged regarding trustworthiness. One proposes a difference between perceived ability and intent, whereas the other proposes a difference between confident positive and negative expectations of others. Regardless of their structure, theory suggests that perceptions of team trustworthiness ought to develop across performance episodes as individuals identify more with their team and have more information about how they are performing. We explore these relationships across three distinct performance episodes in newly formed short‐term teams. Our results support a four‐factor model of trustworthiness within the context of short‐term, lab‐based teams. Further, perceptions regarding teammates' abilities tended to change quickly and curvilinearly while those regarding teammates' intents changed linearly. Positive team performance signals bolstered individual perceptions of team trustworthiness in ability and intent but not perceived team untrustworthiness. Negative team performance signals bolstered individual perceptions of team untrustworthiness in ability and intent while harming both types of individual perceptions of team trustworthiness. This study supports propositions from the model of trust over time and lays the groundwork for a comprehensive approach toward trust research within teams. [ABSTRACT FROM AUTHOR]

While much research has examined the effects of performance appraisal justice (PAJ) on employee satisfaction with that appraisal in different sectors, studies on moderated justice effects seem quite scarce. This paper examines whether trustworthiness moderates the relationship between PAJ dimensions and PA satisfaction. Furthermore, considering that almost no studies have examined the moderating role of trustworthiness in this relationship, further explorations may generate new empirical information, regardless of the findings. This study administered surveys to 429 Kuwaiti public organizations employees. Structural equation modelling using SmartPLS 4 software was used to test hypotheses. The findings showed that procedural, informational, and interpersonal justice of PA is positively related to PA satisfaction. Results also revealed that trustworthiness moderated the relationship between distributive justice and PA satisfaction but not the relationship between procedural, informational, and interpersonal justice. To increase employee satisfaction with PA, managers in the public administration sector must try to distribute roles, duties, and responsibilities fairly. They should also care about their staff members and develop supervisor-employee trust. The findings will help policy makers create a PA system for public organizations that promotes justice and employee satisfaction as they move towards high job performance. This study will also add some extra knowledge on the moderating effect of trustworthiness on the PAJ-satisfaction relationship in the public sector. [ABSTRACT FROM AUTHOR]

Abstract Immigrants, and particularly immigrant men, are often stereotyped as untrustworthy in European societies. However, little research has examined how stereotypes of characteristics other than ethnicity might impact natives’ perceptions of the trustworthiness of immigrants. Here, I test whether facial attractiveness, a trait associated with a variety of positive stereotypes, might modify ethnic biases in trustworthiness perceptions. I vary facial attractiveness and ethnicity using photo and name stimuli presented in a hypothetical “lost wallet” vignette, in which respondents assess the likelihood of the pictured man returning their lost wallet. Results from an German online panel survey indicate that while attractiveness has a modest positive effect on perceived trustworthiness, the value of attractiveness does not differ between ethnic majority German men and men with a Turkish migration background. Rather, the largest differences in the perceived trustworthiness of Turkish-origin men are found between respondents with inclusionary and exclusionary immigration attitudes, with inclusionary respondents reporting that Turkish-origin vignette persons are more trustworthy than ethnic majority German vignette persons. These results suggest that physical attractiveness does not act as a substantial moderator of ethnic biases in trustworthiness perceptions, but that immigration attitudes are highly relevant.

The growing dominance of social media as a marketing platform underscores the importance of understanding how influencer credibility affects consumer behavior. Social media influencers, through effective personal branding and content creation, form strong connections with their followers, significantly impacting their audience’s perceptions, attitudes, and purchasing decisions. This study explores the effects of social media influencers’ source credibility, comprising trustworthiness, expertise, and attractiveness, on consumers’ purchase intentions and behaviors regarding beauty products in Vietnam. A quantitative approach was utilized, with data collected from 269 Vietnamese consumers through a structured questionnaire and analyzed using partial least squares structural equation modeling. The results showed that all three components of source credibility, including trustworthiness, expertise, and attractiveness, significantly and positively influenced consumers’ purchase intentions for beauty products. Among these factors, expertise had the strongest effect on purchase intention (β = 0.289, p < 0.001), followed by trustworthiness (β = 0.216, p = 0.001), and attractiveness had the weakest influence on purchase intention (β = 0.195, p < 0.001). Moreover, purchase intention was found to have a significant positive impact on purchase behavior (β = 0.545, p = 0.004). These findings provide valuable insights for marketing managers and companies seeking to optimize their influencer partnerships by selecting influencers whose credibility aligns with their brand values and leveraging their expertise to build consumer trust, drive engagement, and influence purchase decisions. AcknowledgementThe researchers express sincere gratitude to all the participants who participate in this research study.