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400 results for “trust”
Trust in researchers and researchers' statements in large carnivore conservation
<p>Human-wildlife interactions occur when humans and wildlife overlap in the same landscapes. Due to the growing human population, the number of interactions will continue to increase, and in some cases, develop further into social conflicts. Conflicts may occur between people disagreeing about wildlife conservation or arguing over which wildlife management measures should be taken. Social conflicts between humans are based on different attitudes, values and land-use aspirations. The success of solving these social conflicts strongly depends on building trust between the public, stakeholders, authorities, and researchers, as trust is fundamental to all communication and dialogue.</p> <p>Here we have examined how trust in large carnivore research differs within a geographically stratified sample of the Norwegian population. The comprehensive survey, including 2110 respondents, allows us to explore how people perceive factual statements about large carnivores depending on the source of these statements. Specifically, the respondents were given multiple statements and asked to judge them in terms of meaning and authenticity depending on whether the statements were made by a politician, the Norwegian farmers' association, the Norwegian Fish and Game association or a large carnivore researcher. Based on the variations in perceptions, we inferred that trust in large carnivore researchers and their research results varied with people's attitudes, values and direct experience of large carnivores.</p> <p>In general, respondents perceived 60% of the statements to be genuine when given no information of who had made them. Although this increased to 75 % when informed that the statements were made by a large carnivore researcher, there was still a 25 % probability that the statement was perceived as manipulative or political. Age, environmental values, and negative experiences of carnivores increased the probability of perceiving research statements as manipulative or political. People living in areas with high proportions of hunters showed particularly polarized views, either more strongly perceiving the statements as political, or in contrast as research.</p> <p>This study provides a novel perspective in understanding the role trust plays in social conflicts related to human-wildlife interactions.</p>
Survey of risk perception, trust, and behavioral intention during the COVID-19 pandemic
<p>Early public health strategies to prevent the spread of COVID-19 in the United States relied on non-pharmaceutical interventions (NPIs) as vaccines and therapeutic treatments were not yet available. Implementation of NPIs, primarily social distancing and mask wearing, varied widely between communities within the US due to variable government mandates, as well as differences in attitudes and opinions. To understand the interplay of trust, risk perception, behavioral intention, and disease burden, we developed a survey instrument to study attitudes concerning COVID-19 and pandemic behavioral change in three states: Idaho, Texas, and Vermont. We designed our survey (<em>n </em>= 1034) to detect whether these relationships were significantly different in rural populations. The best fitting structural equation models show that trust indirectly affects protective pandemic behaviors via health and economic risk perception. We explore two different variations of this social cognitive model: the first assumes behavioral intention affects future disease burden while the second assumes that observed disease burden affects behavioral intention. In our models we include several exogenous variables to control for demographic and geographic effects. Notably, political ideology is the only exogenous variable which significantly affects all aspects of the social cognitive model (trust, risk perception, and behavioral intention). While there is a direct negative effect associated with rurality on disease burden, likely due to the protective effect of low population density in the early pandemic waves, we found a marginally significant, positive, indirect effect of rurality on disease burden via decreased trust (<em>p</em> = 0.095). This trust deficit creates additional vulnerabilities to COVID-19 in rural communities which also have reduced healthcare capacity. Increasing trust by methods such as in-group messaging could potentially remove some of the disparities inferred by our models and increase NPI effectiveness.</p>
Similarity-Based Trust Model Evaluation Results
<p>The dataset contains the results of simulation described in the paper. The simulation consisted of 1000 cloud providers, and 30 cloud customers. The metrics extracted from the simulation are the number of active contracts within the system and the mean of the experiences reported after these contracts .</p> <p>Type of data: raw data ( data collected by the Multi-Agent Simulation Toolkit Repast Simphony. )</p> <p>Data format: CSV</p> <p>Source: simulation results</p> <p>Number of samples: 2*8 populations</p> <p>Size per sample: ~ 5000 instances</p> <p>Total size of samples: ~ 10000 instances</p> <p> </p>
To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems
<p>Experimental data from unpublished work <em>To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems</em></p>
From Fear to Love: Dissecting Political Trust in China
<p>The data is about the paper "From Fear to Love: Dissecting Political Trust in China"</p>
The effects of e-government evaluation, trust and the digital divide in the levels of e-government use in European countries
<p>Despite the significant amounts of public investment devoted to enhancing e-government over the last ten years, citizens’ use of this service is still limited, posing a challenge to national governments. Using a regression analysis applied to panel data derived from 27 European countries for the period from 2010 to 2018, our work confirms that supply-side e-government performance evaluations, the level of citizen trust in the government, income per capita and education are determinants of the level of citizens’ use of e-government. Furthermore, the results of the cluster analysis suggest that, over the study period, in the group of countries with highest e-government use rates, the variables under study exhibit more favourable relative values.</p>
D1.4 - Consolidated OA data set for responsible research practices and trust in science: POIESIS National and Regional Database
<p>Deliverable 1.4 of the POIESIS project is a consolidated open access data set for responsible research practices and trust in science. D1.4 consists of two databases: the POIESIS National Database and the POEISIS Regional Database. The method and rationale behind the construction of all indicators in both databases are laid out in Work Package 1’s previous deliverable, D1.3 (Bauer et al., 2024). The two database are accompanied by a Guidance Sheet which provides details and relevant notes regarding the structure of the two databases. </p> <p> </p>
Trust in AI: Perspectives of C-Level Executives in Brazilian Organizations
<p>Context: With the advancement of Artificial Intelligence (AI) and its increasing integration into business processes, the trust of top management in Brazilian companies has become a crucial issue. Business leaders must be aware of the challenges and opportunities associated with adopting AI in their operations. A lack of understanding and knowledge about the capabilities and limitations of AI can lead to hesitations and concerns from top management regarding its use. Goal: This work aims to identify the main challenges preventing C-level executives from fully trusting AI and its applications within their organizations in the Brazilian context. Additionally, a reference guide is proposed to help top management better understand how AI can be effectively and ethically integrated into their business strategies. Method: We conducted a survey with business leaders from various sectors to understand their perceptions of trust in AI and their concerns regarding its implementation. Results: The results revealed that the main obstacles faced by top management in Brazilian companies were the lack of understanding about AI's capabilities and its ethical implications. Therefore, it is imperative for business leaders to invest in education and awareness about AI, seeking to understand its benefits and challenges. Only then will they be able to make informed decisions and fully trust AI solutions to drive innovation and sustainable growth in their organizations and the improvement of organizational processes.</p>
Dataset Questionnaire Social Media Marketing Activities, Brand Loyalty, Brand Trust, Brand Equity, and Industry Fashion In Indonesia
<p>The following dataset is a dataset from a study that investigated Social Media Marketing Activities, Brand Loyalty, Brand Trust, and, Brand Equity in the context of fashion industry in Indonesia.</p>
Data for "How Contagious was the Panic of 1907? New Evidence from Trust Company Stocks"
<p>This deposit provides the data for replicating the figures and table in the paper "How Contagious was the Panic of 1907? New Evidence from Trust Company Stocks". The full access is available upon request before June 2022. The complementary code is stored in a separate deposit (10.5281/zenodo.4739416).</p>
FPCA - From mobile app-based crowdsourcing to crowd-trusted food price estimates in Nigeria: pre-processing and post-sampling strategy for optimal statistical inference
<p>Timely and reliable monitoring of commodity food prices is an essential requirement for the assessment of market and food security risks and the establishment of early warning systems, especially in developing economies. However, data from regional or national systems for tracking changes of food prices in sub-Saharan Africa lacks the temporal or spatial richness and is often insufficient to inform targeted interventions. In addition to limited opportunity for [near-]real-time assessment of food prices, various stages in the commodity supply chain are mostly unrepresented, thereby limiting insights on stage-related price evolution. Yet, governments and market stakeholders rely on commodity price data to make decisions on appropriate interventions or commodity-focused investments. Recent rapid technological development indicates that digital devices and connectivity services are becoming affordable for many, including in remote areas of developing economies. This offers a great opportunity both for the harvesting of price data (via new data collection methodologies, such as crowdsourcing/crowdsensing — i.e. citizen-generated data — using mobile apps/devices), and for disseminating it (via web dashboards or other means) to provide real-time data that can support decisions at various levels and related policy-making processes. However, market information that aims at improving the functioning of markets and supply chains requires a continuous data flow as well as quality, accessibility and trust. More data does not necessarily translate into better information. Citizen-based data-generation systems are often confronted by challenges related to data quality and citizen participation, which may be further complicated by the volume of data generated compared to traditional approaches. Following the food price hikes during the first noughties of the 21st century, the European Commission's Joint Research Centre (JRC) started working on innovative methodologies for real-time food price data collection and analysis in developing countries. The work carried out so far includes a pilot initiative to crowdsource data from selected markets across several African countries, two workshops (with relevant stakeholders and experts), and the development of a spatial statistical quality methodology to facilitate the best possible exploitation of geo-located data. Based on the latter, the JRC designed the Food Price Crowdsourcing Africa (FPCA) project and implemented it within two states in Northern Nigeria. The FPCA is a credible methodology, based on the voluntary provision of data by a crowd (people living in urban, suburban, and rural areas) using a mobile app, leveraging monetary and non-monetary incentives to enhance contribution, which makes it possible to collect, analyse and validate, and disseminate staple food price data in real time across market segments. The granularity and high frequency of the crowdsourcing data open the door to real-time space-time analysis, which can be essential for policy and decision making and rapid response on specific geographic regions. <a href="https://datam.jrc.ec.europa.eu/datam/perm/news/870?rdr=1666109837893">Link to the project</a></p>
Trust in Digital Health dataset
<p>The Trust in Digital Health project was conducted by the Centre for Social Research in Health, UNSW Sydney in collaboration with community organisations to assess views of digital health systems in Australia, particularly among communities affected by bloodborne viruses and sexually transmissible infections. We conducted a national, online survey of Australians' attitudes to digital health in April–June 2020. The sample (N=2,240) was recruited from the general population and four priority populations affected by HIV and other sexually transmissible infections: gay and bisexual men, people living with HIV, sex workers, and trans and gender-diverse people. The deidentified dataset and syntax provided here were used for an analysis of factors associated with greater knowledge of My Health Record and the likelihood of opting out of the system. My Health Record is Australia's national, digital, personal health record system. </p>
Do Team Trust and Leader Support Matter at Work and Beyond?
<p>Team effectiveness is examined using the Arc of Purposeful Leadership model to investigate mediational effects of employees’ departmental impact, organizational commitment, and leader support on work-family synergy and emotional exhaustion. Structural equation modelling and Hayes’ PROCESS macro were used to analyze the responses of 319 participants. Findings support the Input-Process-Output (IPO) model of team effectiveness. Relationships between team purpose/support and outcome variables (work-family synergy and emotional exhaustion) were mediated by employees’ departmental impact, organizational commitment, and leader support. Findings reveal the complexities of team processes in relation to outcomes, including work-family synergy and emotional exhaustion, that extend beyond the workplace.</p> <p>Data were collected at University of Redlands in 2020 during the COVID-19 pandemic.</p>
Trusted Code Smells Dataset
<p>This code smells dataset collected from Git history of top-100 Java projects. It contains 5912 samples of smelly code with fixing it by developers themselves. Collected code smell types are: Complex Method, Long Method and God Class.</p>
Supplementary material for AAMAS 2023 paper : Trusting Artificial Agents: Communication Trumps Performance
<p>This is the supplementary material for AAMAS 2023 full paper "Trusting Artificial Agents: Communication Trumps Performance". It includes a video of the conditions encountered by each group and details about how the study was led as well as statistical detailed analyses.</p>
Data from: Community Credit survey on trust in consumer financial services
<p class="MsoNormal">The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we conducted an online survey investigating people's everyday financial practices, evolving perceptions of trust and risk, and their unmet financial needs. The general population survey data was collected between April 15 and April 22, 2022. The credit union data was collected between May 3 and July 18, 2022. This data set contains the responses of the survey participants after excluding any personally identifying data.</p> <p class="MsoNormal">All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>
Data from: Community Credit mapping of trust in consumer financial services
<p class="MsoNormal">The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we mapped the landscape of financial services providers and advertisements in low-income neighborhoods in Orange County. Through documenting the presence of alternative financial services (AFS) providers and fringe financial advertisements, alongside traditional financial services providers, we investigated the spatial relationship between these businesses, as well as the factors that create consumers' sense of (dis)trust in them. This data set contains photographs taken as part of this mapping research.</p> <p class="MsoNormal">All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>
Trial of Microplasmin Intravitreal Injection for Non-surgical Treatment of Focal Vitreomacular Adhesion. The MIVI-TRUST (TG-MV-006) Trial.
ClinicalTrials.gov study NCT00781859. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Trial of Microplasmin Intravitreal Injection for Non-Surgical Treatment of Focal Vitreomacular Adhesion. The MIVI-TRUST (TG-MV-007) Trial.
ClinicalTrials.gov study NCT00798317. IPD Sharing: Not stated. Countries: 7. Publications: 4.
Randomized Trial of Trust in Online Videos About Prostate Cancer
ClinicalTrials.gov study NCT05886751. IPD Sharing: YES. Countries: 1. Publications: 1.
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International Brain Laboratory public data
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OpenNeuro
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