Dimensions Of Trustworthiness Research Articles

The Dynamics of Trust and Trustworthiness Perceptions in a Government Agency: A Longitudinal Perspective

Although trust is widely recognized as key to effective public administration, little is known about trust dynamics, especially in typical governance relationships. We conducted an intensive longitudinal experience sampling study via a weekly survey of Florida residents’ ( N = 97) trust in and perceptions of the trustworthiness of the (US) National Hurricane Center over a 25-week hurricane season. We estimated two-level time series models to examine reciprocal relationships among four constructs: trust, ability, benevolence, and integrity. All four exhibited significant intraindividual variability such that participants demonstrated change in their ratings of the agency over time. Ability perceptions showed the greatest variability over the study duration. In line with classic models of trust, previous-week trustworthiness perceptions were significant predictors of subsequent trust. Our results also provide some support for self-reinforcing accounts of trust by demonstrating that previous-week trust predicted subsequent trustworthiness. Several of the one-week lagged relationships weakened substantially when tested with two-week lags, suggesting that trustworthiness is the stronger driver of trust. Overall, our results demonstrate that trust is not static, even in business-as-usual governance relationships. Results position perceptions of ability, benevolence, and integrity as partially responsible for changes in trust over time. Further, an exploratory analysis suggested that people who reported higher average integrity perceptions tended to have more stable trust. Thus, all the dimensions of trustworthiness serve as short-term levers for administrators seeking to positively manage relationships with the public, and integrity may be most critical for supporting steady levels of trust.

Political trust and public support for climate policy in Europe: the role of perceptions about politicians’ competence and integrity

While previous studies on the relationship between political trust and support for climate policy have focused on the evaluative component of trust, namely whether politicians and the political system can be trusted or not, less is known about the role of different dimensions of trustworthiness that underlie such evaluations. In this study, we examine how perceptions about politicians’ competence and integrity, two central dimensions of trustworthiness, are related to public support for climate policies. Using survey data from four European countries (Sweden, Germany, Spain, and Poland), we find that people who think that politicians are competent are generally more likely to support climate policy. In contrast, we do not find such a relationship between integrity perceptions (e.g., corruption) and policy attitudes. These findings are consistent across national contexts and hold even when alternating the measures capturing competence and integrity perceptions. To bolster public support for climate policies, climate communication should prioritize addressing public concerns regarding politicians’ competence in designing sound climate policies, rather than alleviating concerns about their integrity, such as fears of corruption.

A Multidimensional Neural Representation of Face Impressions.

From a glimpse of a face, people form trait impressions that operate as facial stereotypes, which are largely inaccurate yet nevertheless drive social behavior. Behavioral studies have long pointed to dimensions of trustworthiness and dominance that are thought to underlie face impressions due to their evolutionarily adaptive nature. Using human neuroimaging (N = 26, 19 female, 7 male), we identify a two-dimensional representation of faces' inferred traits in the middle temporal gyrus (MTG), a region involved in domain-general conceptual processing including the activation of social concepts. The similarity of neural-response patterns for any given pair of faces in the bilateral MTG was predicted by their proximity in trustworthiness-dominance space, an effect that could not be explained by mere visual similarity. This MTG trait-space representation occurred automatically, was relatively invariant across participants, and did not depend on the explicit endorsement of face impressions (i.e., beliefs that face impressions are valid and accurate). In contrast, regions involved in high-level social reasoning (the bilateral temporoparietal junction and posterior superior temporal sulcus; TPJ-pSTS) and entity-specific social knowledge (the left anterior temporal lobe; ATL) also exhibited this trait-space representation but only among participants who explicitly endorsed forming these impressions. Together, the findings identify a two-dimensional neural representation of face impressions and suggest that multiple implicit and explicit mechanisms give rise to biases based on facial appearance. While the MTG implicitly represents a multidimensional trait space for faces, the TPJ-pSTS and ATL are involved in the explicit application of this trait space for social evaluation and behavior.

Efektifitas Iklan YouTube: Korelasi antara Kredibilitas Tasya Farasya dengan Ulasan Produk Maybelline

Influencers can strengthen the effectiveness of advertising by consumers when they are considered to have good credibility, so they buy the product. The aim of the research is to determine the relationship between Tasya Farasya's credibility and the effectiveness of Maybelline product reviews as marketing communication strategy. Previous study of Credibility Theory by Hovland Weiss found that audiences tend to give a higher level of approval when the source has a high reputation. There are two variables that will be measured, namely source credibility and review effectiveness. Source credibility is measured using the dimensions of attractiveness, trustworthiness, and expertise. Also, advertising effectiveness is measured using the dimensions of personal engagement and interactive engagement. The research used a survey-based explanatory quantitative approach by distributing questionnaires to 100 consumers of Maybelline products. The data obtained was processed using SPSS version 27 software, and analyzed by correlation. Research findings show that there is a significant and strong relationship between Tasya Farasya's credibility and the effectiveness of Maybelline product advertising. Therefore, it can be concluded that Tasya Farasya's credibility is able to strengthen the effectiveness of Maybelline product advertising.

A Lifecycle Approach for Artificial Intelligence Ethics in Energy Systems

Despite the increasing prevalence of artificial intelligence (AI) ethics frameworks, the practical application of these frameworks in industrial settings remains limited. This limitation is further augmented in energy systems by the complexity of systems composition and systems operation for energy generation, distribution, and supply. The primary reason for this limitation is the gap between the conceptual notion of ethics principles and the technical performance of AI applications in energy systems. For instance, trust is featured prominently in ethics frameworks but pertains to limited relevance for the robust operation of a smart grid. In this paper, we propose a lifecycle approach for AI ethics that aims to address this gap. The proposed approach consists of four phases: design, development, operation, and evaluation. All four phases are supported by a central AI ethics repository that gathers and integrates the primary and secondary dimensions of ethical practice, including reliability, safety, and trustworthiness, from design through to evaluation. This lifecycle approach is closely aligned with the operational lifecycle of energy systems, from design and production through to use, maintenance, repair, and overhaul, followed by shutdown, recycling, and replacement. Across these lifecycle stages, an energy system engages with numerous human stakeholders, directly with designers, engineers, users, trainers, operators, and maintenance technicians, as well as indirectly with managers, owners, policymakers, and community groups. This lifecycle approach is empirically evaluated in the complex energy system of a multi-campus tertiary education institution where the alignment between ethics and technical performance, as well as the human-centric application of AI, are demonstrated.

Challenges and efforts in managing AI trustworthiness risks: a state of knowledge.

This paper addresses the critical gaps in existing AI risk management frameworks, emphasizing the neglect of human factors and the absence of metrics for socially related or human threats. Drawing from insights provided by NIST AI RFM and ENISA, the research underscores the need for understanding the limitations of human-AI interaction and the development of ethical and social measurements. The paper explores various dimensions of trustworthiness, covering legislation, AI cyber threat intelligence, and characteristics of AI adversaries. It delves into technical threats and vulnerabilities, including data access, poisoning, and backdoors, highlighting the importance of collaboration between cybersecurity engineers, AI experts, and social-psychology-behavior-ethics professionals. Furthermore, the socio-psychological threats associated with AI integration into society are examined, addressing issues such as bias, misinformation, and privacy erosion. The manuscript proposes a comprehensive approach to AI trustworthiness, combining technical and social mitigation measures, standards, and ongoing research initiatives. Additionally, it introduces innovative defense strategies, such as cyber-social exercises, digital clones, and conversational agents, to enhance understanding of adversary profiles and fortify AI security. The paper concludes with a call for interdisciplinary collaboration, awareness campaigns, and continuous research efforts to create a robust and resilient AI ecosystem aligned with ethical standards and societal expectations.

Trustworthiness of Policymakers, Technology Developers, and Media Organizations Involved in Introducing AI for Autonomous Vehicles: A Public Perspective

Qualities of organizations constitute dimensions of trustworthiness. Guided by the integrative model of organizational trust, we developed dimensions of trustworthiness of policymakers, technology developers, and media organizations that are involved in introducing artificial intelligence for autonomous vehicles. We collected data through six focus group discussions with the public in Singapore. In addition to the core dimensions of trustworthiness, the public would consider acclaim, collaboration, public communication, and affiliation. Further, we identified all the dimensions of trustworthiness as either ability-, recognition-, relation-, or principle-based. These findings carry important implications for the development of the model and stakeholders’ communication about science and technology.

Whom to ask? Whom to trust? Parents’ preferences for sources of advice on social-emotional parenting issues

ABSTRACT Accumulating evidence shows how parents can support children’s social-emotional development with positive parenting practices. However, when confronted with parenting challenges, few parents seek evidence-based counseling. This study identifies main sources of advice for parents and examines the reasons why parents decide which sources to trust and use. Therefore, we interviewed parents of preschoolers on parenting challenges, sources of advice, general trust in these sources, and dimensions of trustworthiness. Parents’ trust was highly correlated with their intention to seek advice from someone. Furthermore, parents were most likely to seek advice within their close personal environment. Regarding the dimensions of trustworthiness, namely ability, benevolence, and integrity, we found that benevolence best predicted parents’ trust. Concerning ability, participants’ judgements were based on personal experience for some advice sources (e.g. friends, family) and on theoretical knowledge for others. Overall, this study emphasizes the important role of interpersonal trust and the dimensions of trustworthiness in advice-seeking settings. Parents already attribute evidence-based ability to professional counseling services. Consequently, we discuss how to improve evidence-based counseling by enhancing its perceived benevolence and integrity, for example, through promoting transparent and ethical practices, showing a commitment to the best interests of clients, and building strong relationships with clients.

The many faces of compensation: The similarities and differences between social and facial models of perception.

Previous research shows that stereotypes can distort the visual representation of groups in a top-down fashion. In the present endeavor, we tested if the compensation effect-the negative relationship that emerges between the social dimensions of warmth and competence when judging two social targets-would bias the visual representations of these targets in a compensatory way. We captured participants' near spontaneous facial prototypes of social targets by means of an unconstrained technique, namely the reverse correlation. We relied on a large multi-phase study (N = 869) and found that the expectations of the facial content of two novel groups that differed on one of the two social dimensions are biased in a compensatory manner on the facial dimensions of trustworthiness, warmth, and dominance but not competence. The present research opens new avenues by showing that compensation not only manifests itself on abstract ratings but that it also orients the visual representations of social targets.

To trust or not to trust? Face and voice modulation of virtual avatars

Introduction: This study explores the graduated perception of apparent social traits in virtual characters by experimental manipulation of perceived affiliation with the aim to validate an existing predictive model in animated whole-body avatars.Methods: We created a set of 210 animated virtual characters, for which facial features were generated according to a predictive statistical model originally developed for 2D faces. In a first online study, participants (N = 34) rated mute video clips of the characters on the dimensions of trustworthiness, valence, and arousal. In a second study (N = 49), vocal expressions were added to the avatars, with voice recordings manipulated on the dimension of trustworthiness by their speakers.Results: In study one, as predicted, we found a significant positive linear (p < 0.001) as well as quadratic (p < 0.001) trend in trustworthiness ratings. We found a significant negative correlation between mean trustworthiness and arousal (τ = −.37, p < 0.001), and a positive correlation with valence (τ = 0.88, p < 0.001). In study two, wefound a significant linear (p < 0.001), quadratic (p < 0.001), cubic (p < 0.001), quartic (p < 0.001) and quintic (p = 0.001) trend in trustworthiness ratings. Similarly, to study one, we found a significant negative correlation between mean trustworthiness and arousal (τ = −0.42, p < 0.001) and a positive correlation with valence (τ = 0.76, p < 0.001).Discussion: We successfully showed that a multisensory graduation of apparent social traits, originally developed for 2D stimuli, can be applied to virtually animated characters, to create a battery of animated virtual humanoid male characters. These virtual avatars have a higher ecological validity in comparison to their 2D counterparts and allow for a targeted experimental manipulation of perceived trustworthiness. The stimuli could be used for social cognition research in neurotypical and psychiatric populations.

Polarization and reliability of news sources in Wikipedia

PurposeWikipedia's inclusive editorial policy permits unrestricted participation, enabling individuals to contribute and disseminate their expertise while drawing upon a multitude of external sources. News media outlets constitute nearly one-third of all citations within Wikipedia. However, embracing such a radically open approach also poses the challenge of the potential introduction of biased content or viewpoints into Wikipedia. The authors conduct an investigation into the integrity of knowledge within Wikipedia, focusing on the dimensions of source political polarization and trustworthiness. Specifically, the authors delve into the conceivable presence of political polarization within the news media citations on Wikipedia, identify the factors that may influence such polarization within the Wikipedia ecosystem and scrutinize the correlation between political polarization in news media sources and the factual reliability of Wikipedia's content.Design/methodology/approachThe authors conduct a descriptive and regression analysis, relying on Wikipedia Citations, a large-scale open dataset of nearly 30 million citations from English Wikipedia. Additionally, this dataset has been augmented with information obtained from the Media Bias Monitor (MBM) and the Media Bias Fact Check (MBFC).FindingsThe authors find a moderate yet significant liberal bias in the choice of news media sources across Wikipedia. Furthermore, the authors show that this effect persists when accounting for the factual reliability of the news media.Originality/valueThe results contribute to Wikipedia’s knowledge integrity agenda in suggesting that a systematic effort would help to better map potential biases in Wikipedia and find means to strengthen its neutral point of view policy.

Scorched Earth: Employers’ Breached Trust in Refugees’ Labor Market Integration

Employment is critical for refugees’ positive integration into a receiving country. Enabling employment requires cross-sector collaborations, that is, employers collaborating with different stakeholders such as refugees, local employees, other employers, unofficial/official supporters, and authorities. A vital element of cross-sector collaborations is trust, yet the complexity of cross-sector collaborations may challenge the formation and maintenance of trust. Following a theory elaboration approach, this qualitative study with 37 employers and 27 support workers in Germany explores how employers’ experiences in cross-sector collaborations on refugees’ labor market integration affect their trust in other stakeholders in this cross-sector space. Specifically, we explored employers’ perceptions of trust breaches, and how these perceptions affect their further engagement in cross-sector collaborations on refugee integration. Based on our findings, we propose a process model that describes how unmet collaboration expectations and negative assessments of collaborators’ attitudes and behaviors lead to perceived trust breaches which, in turn, lead to employers’ hesitancy to hire refugees and/or to engage in cross-sector collaborations. In doing so, we extend existing theory on trust within organizations to the cross-sector context of refugee integration, uncovering context-specific meanings to trustworthiness dimensions and illustrating how breaches of different trustworthiness dimensions can interact. Moreover, we show how social policies, resources, and trustors’ perceived vulnerability in collaborations shape their risk perceptions. This study highlights the central role of trust for refugee integration and illustrates how missing goals and process clarity endanger sustainable collaborations.

Use of the socio-ecological model to explore trusted sources of COVID-19 information in Black and Latinx communities in Michigan

ABSTRACT Background Identifying trusted sources of health information and exploring what makes these sources trustworthy is an important aspect of public health. This exploration requires embracing the cultural differences in minoritized communities, which are often treated as homogeneous. This qualitative study identifies and analyze the sources of trusted COVID-19 information among Black and Latinx communities in Michigan and assesses the rationale underlying this trust. Methods Interviews were conducted with 24 Black and 16 Latinx participants (n = 40) in four Michigan counties significantly impacted by COVID-19. The socio-ecological model was applied as an analytical framework for understanding the entities considered trusted sources of information. Within each level of the model, the dimensions of trustworthiness most salient for participants were identified. Results We found that sources of information came from all levels of the model, including interpersonal (COVID-19 survivors, church representatives, friends, relatives), organizational (employers, healthcare providers, traditional news reports), social media (hybrid source), community (members and groups), and public policy (county health department, federal and state government). Furthermore, participants determined whether they could trust information about COVID-19 by cross-referencing multiple resources. We identified competence, confidence, communication, and system trust as the dimensions of trustworthiness most often reported by participants. Conclusions Our research suggests public health communications should engage in cross-referencing practices, providing information from sources at all levels of interaction, cultural competency, and awareness of historical/structural inequities. These efforts would be further strengthened by attending to needs for both factual information as well as care and personal connection.

Shifts in Facial Impression Structures Across Group Boundaries

Facial impressions have long been argued to be driven by two independent dimensions of trustworthiness and dominance. However, in an intergroup context, we reasoned that these dimensions may shift predictably and become more positively related for ingroup members, yet negatively related for outgroup members, due to dominance signaling outgroup threat and/or ingroup prosociality. In two studies, we examined how the two dimensions shift across minimal group boundaries for White targets. In Study 1, core dimensions of trustworthiness and dominance became intertwined with each other differently for ingroup and outgroup targets. In Study 2, stronger stereotypic beliefs that trustworthiness ≈ dominance for ingroup than outgroup mediated the shifts in facial impression dimensions. This work advances our understanding of facial impressions and intergroup bias by showing that the facial impression dimensions are not fixed but may shift across group boundaries and that such shifts occur above and beyond simple ingroup favoritism.

Green Washing and Brand Crises: Modelling Consumer Trust Repair

This study proposes an innovative approach to rebuilding consumer trust following the negative impact of greenwashing, which often leads to a conflicted relationship between corporations and consumers. Through a novel integration of previously unconnected concepts, such as trustworthiness dimensions (Integrity, benevolence, and competence), credibility, empathy, forgiveness, consumer trust repair, revived brand equity, and repurchase intention, this study offers a nuanced and enhanced understanding of the consumer trust repair process. The current research seeks to integrate disparate concepts and theories into a cohesive whole, resulting in a modified version of the consumer trust repair process. Prior studies have examined the phenomenon of consumer trust repair in a relatively narrow and parochial manner and have failed to provide a holistic process-based model. This study, however, attempts to provide a comprehensive, process-based model of consumer trust repair. Through this holistic approach, this research makes a valuable and meaningful contribution to the field of consumer trust repair, providing brand managers with a deeper understanding of the consumer trust recovery process, which has been largely ignored in previous studies. This unique and comprehensive approach will surely capture readers' attention, as it offers a fresh perspective on a crucial issue facing the business world today.

Thanks for trusting me, parent

Despite an increasing scholarly interest in doctors’ behaviour in online settings, doctors’ epistemic behaviour (i.e. how doctor employs discursive practices to deal with their side and patients’ side knowledge) in online medical consultation (OMC) is still underexplored in research. Drawing on 300 highly rated OMC cases retrieved from dxy.com, a well-known digital health consulting platform in China, this study explores how Chinese pediatricians discursively deploy different types of epistemic behaviour in OMC settings. Data analyses yield three typical types of epistemic behaviour by Chinese pediatricians: strengthening epistemic primacy, mitigating epistemic certainty and showing concerns about parents’ epistemic domain. It is argued that pediatricians conduct epistemic behaviour to win parents’ perceptions of their trustworthiness. The three types of epistemic behaviour are targeted at the three dimensions of trustworthiness – ability, integrity, and benevolence. This study could yield insightful suggestions for online doctors’ strategic choice of discursive practices to promote a trusting doctor–patient relationship and harmonious consulting atmosphere in e-health activities.

'You have to put a lot of trust in me': autonomy, trust, and trustworthiness in the context of mobile apps for mental health

Trust and trustworthiness are essential for good healthcare, especially in mental healthcare. New technologies, such as mobile health apps, can affect trust relationships. In mental health, some apps need the trust of their users for therapeutic efficacy and explicitly ask for it, for example, through an avatar. Suppose an artificial character in an app delivers healthcare. In that case, the following questions arise: Whom does the user direct their trust to? Whether and when can an avatar be considered trustworthy? Our study aims to analyze different dimensions of trustworthiness in the context of mobile health app use. We integrate O'Neill's account of autonomy, trust, and trustworthiness into a model of trustworthiness as a relational concept with four relata: B is trustworthy with respect to A regarding the performance of Z because of C. Together with O'Neill's criteria of trustworthiness (honesty, competence, and reliability), this four-sided model is used to analyze different dimensions of trustworthiness in an exemplary case of mobile health app use. Our example focuses on an app that uses an avatar and is intended to treat sleep difficulties. The conceptual analysis shows that interpreting trust and trustworthiness in health app use is multi-layered and involves a net of interwoven universal obligations. At the same time, O'Neill's approach to autonomy, trust, and trustworthiness offers a normative account to structure and analyze these complex relations of trust and trustworthiness using mobile health apps.

A Conceptual Model of the Role of Perception of Celebrity Endorsement in Consumer Purchase Intention of MS Glow Beauty Products

This article aims to explain the influence of perception of celebrity endorser on purchase intention which is mediated by attitude towards ads and attitude towards brand. This study was moderated by the type of endorser tested in two groups, handsome vs. not handsome endorser types. Literature reviews made by several international journals with high reputation including research from Schouten et al. (2020) and Ha & Lam (2017). This article is to identify the variables used to build a conceptual model. The expected finding is that there is a positive relationship between perception of celebrity endorser, attitude towards ads and attitude towards brand on purchase intention which is moderated by type of endorser. This study also explains the dimensions of trustworthiness, expertise, and similarity that produce the perception of celebrity endorsers. Researchers hope this research can help marketers to design effective marketing strategies to influence potential consumers. This paper is also expected to contribute theoretically, practically and possibly can be used for future studies.

Cooperative Epistemic Trustworthiness

AbstractExtant accounts of trust in science focus on reconciling scientific and public value judgments, but neglect the challenge of learning audience values. I argue that for scientific experts to be epistemically trustworthy, they should adopt a cooperative approach to learning about the values of their audience. A cooperative approach, in which expert and nonexpert inquirers iteratively refine value judgments, better achieves important second-order epistemic dimensions of trustworthiness. I suggest that strong objectivity in the feminist standpoint theoretic sense is sometimes a prerequisite for trustworthiness.

How do social media influencers inspire consumers' purchase decisions? The mediating role of parasocial relationships

AbstractIn recent years, social media influencers (SMIs) have become part of the strategic communication of firms because the traditional form of mass media communication is losing its effectiveness. Thus, it is imperative to study the effects of communication through SMIs on marketing outcomes, such as purchase intentions. Based on the fairness dimensions, that is, information, distributive, interpersonal, and procedural, and dimensions of source credibility, that is, attractiveness, expertise, trustworthiness, and similarity, this research investigated how technology‐oriented SMIs (T‐SMIs) foster parasocial relationships (PSRs) with followers. Purposive sampling was employed to collect data from 506 active social media users. Data were analysed through IBM AMOS and SPSS 26. The results of the study suggested that attractiveness, expertise, trustworthiness, similarity, interpersonal, procedural, and information fairness are positively related to fostering PSR with followers. In contrast, distributive fairness does not strengthen PSR with followers; furthermore, the study findings suggested an indirect positive influence of attractiveness, expertise, trustworthiness, similarity, interpersonal, procedural, and information fairness on the purchase intentions of consumers via PSR. This study is useful for academia and industry since it fills important gaps in the literature and provides recommendations to brand managers of technology companies about selecting appropriate SMIs for the endorsement of their brands.