Level Of Trust Research Articles

Unpacking Young Adults’ Voting Preferences: The Role of Neighborhood Trust

Compared to previous generations, young adults today report lower levels of trust in government, law enforcement, and their communities. This study investigates neighborhood factors influencing social trust among Arizona young adults during the lead-up to the 2020 presidential election. Through an analysis of online survey data for a sample of young adults ( N = 1,376) who participated in the Arizona Youth Identity Project, we explore how neighborhood diversity, population density, racial identity, and political affiliation are associated with social trust and voting preferences. We find that Arizona young adults’ trust in police and their neighbors varies by neighborhood diversity and racial identity, with residents of mostly White neighborhoods reporting higher levels of trust. Additionally, support for Trump is highest among young adults who expressed high trust in local police. This study underscores and begins to unpack the interplay between race, space, and trust in shaping political identities and preferences.

Examining the impact of personalization and carefulness in AI-generated health advice: Trust, adoption, and insights in online healthcare consultations experiments

Artificial intelligence (AI) technologies, exemplified by health chatbots, are transforming the healthcare industry. Their widespread application has the potential to enhance decision-making efficiency, improve the quality of healthcare services, and reduce medical costs. While there is ongoing discussion about the opportunities and challenges brought by AI, more needs to be known about the public's attitude towards its use in the healthcare domain. Understanding public attitudes can help policymakers better grasp their needs and involve them in making decisions that benefit both technological development and social welfare. Therefore, this study presents evidence from two between-subjects experiments. This study aims to compare the public's adoption and trust levels in health advice provided by human vs. AI doctors and explore the potential effects of personalization and carefulness on the public's attitudes. Experimental designs adopt a trust-centered, cognitively and emotionally balanced perspective to study the public's intention to adopt AI. In Experiment 1, the experimental conditions involve the types of decision-makers providing online consultation advice, either AI or human doctors. In Experiment 2, the experimental conditions involve varying levels of perceived personalization and carefulness (high vs. low). A total of 734 participants took part in the study. They were randomly assigned to one of the intervention conditions and responded to manipulation checks after reading the materials. Using a seven-point Likert-type scale, participants rated their cognitive and emotional trust levels and intention to adopt the advice. Partial Least Squares Structural Equation Modeling (PLS-SEM) is conducted to estimate the proposed theoretical perspective. Qualitative interviews on both real-world and AI-generated treatment recommendations further enriched the understanding of public perceptions.The results show that AI-generated advice is generally slightly less trusted and adopted by the public. However, a noticeable inclination towards AI-generated advice emerges when AI demonstrates proficiency in understanding individuals' health conditions and providing empathetic consultations. Further analyses confirm the mediating influence of emotional trust between cognitive trust and adoption intention. These findings provide deeper insights into the process of adoption and trust formation. Moreover, they offer guidance to digital healthcare providers, empowering them with the knowledge to co-design AI implementation strategies that cater to the public's expectations.

Foreign experience of evaluating the effectiveness of police activity and the possibility of its implementation in Ukraine

The article is devoted to the study of foreign experience in assessing the effectiveness of police activities and the analysis of the possibility of its application in Ukraine. In particular, the author examines the foreign experience of evaluating the effectiveness of police activities in such countries as Austria, Great Britain, Estonia, Canada, Latvia, Lithuania, the USA, France, and the possibility of its implementation in Ukraine. Particular attention is paid to evaluation methods that combine quantitative and qualitative indicators of police performance. The authors point out the importance of internal and external control, with a significant role for public control, which is ensured through surveys, reporting and other forms of interaction with the public. The experience of foreign countries also includes the use of statistical reports on crime, such as in the United States and Austria, which allow not only to assess the work of the police but also to increase the level of trust in law enforcement agencies. It is concluded that the introduction of a point-based performance evaluation system should be applied to the personal assessment of each police officer. Based on the study, we conclude that in all foreign countries analyzed by us, today much attention is paid to the assessment of the effectiveness of police activities, which is due to the social purpose of its activities, but, given the existing legal system, organizational and legal framework for the activities of police units, and the adopted system of their management, the criteria for such assessment differ. In addition, we have found that certain forms of police performance evaluation, such as public opinion polls and annual reports on police performance, are common to both national and most foreign police systems. As a result of summarizing foreign experience in assessing the effectiveness of police activities, the author suggests using the following positive issues, namely: introduction of the above-mentioned US experience in Ukraine, since such ‘Crime Maps’ are available; use of the positive experience of the HM Inspectorate for Constabulary (UK) in the activities of the newly established Department of the Main Inspectorate and Human Rights of the National Police of Ukraine, in particular, in assessing the quality of police services.

Assessing changes in COVID-19 vaccine uptake and intentions among the Brigada Digital Latino social media audience: a repeated cross-sectional study

BackgroundU.S. Latinos experienced disproportionate COVID-19 impacts in terms of morbidity and mortality. Vaccination against COVID-19 is an important strategy for mitigating health impacts, and yet, vaccine uptake was slower among U.S. Latino adults compared to other racial/ethnic groups. Vaccine hesitancy has been a significant barrier within Latino communities, and exposure to misinformation has been associated with negative attitudes toward vaccination. While some COVID-19 mitigation efforts have included community-based outreach, few studies have explored the impact of community-based digital messaging in Spanish to counter COVID-19 misinformation, build trust, and promote vaccination. To address this gap, we conducted a one-year repeated cross-sectional study to assess changes in COVID-19 vaccine uptake, intentions, and perceived norms, as well as barriers to accessing reliable information and levels of trust in COVID-19 information sources among Latino adults exposed to Brigada Digital de Salud social media content. This culturally-tailored content disseminated on Facebook, Instagram, and X platforms was amplified by community health workers and partners, and focused on COVID-19 risk and prevention, vaccine safety and efficacy, and correcting related misinformation.ResultsStatistically significant increases in COVID-19 vaccination and intentions to vaccinate children were observed from May 2022 (wave 1) to April 2023 (wave 2). Among perceived difficulties accessing information, respondents indicated the most difficulty in judging the reliability of COVID-19 information in the media; however, a statistically significant decrease in perceived difficulty was observed between waves. With regard to trust in COVID-19 information sources, levels of trust were highest for healthcare providers in both waves, and there were statistically significant increases in trust in the FDA to ensure COVID-19 vaccine safety and trust in the federal government to ensure child COVID-19 vaccine safety at wave 2.ConclusionsSocial media messaging by trusted community-based sources shows promise as a strategy for combating health misinformation and ameliorating information access gaps for language minority populations. This digital approach represents an important tool for deploying critical information to underserved populations in public health emergency and crisis contexts, and for supporting changes in attitudes, trust, and behaviors to improve health outcomes.

Uptake and correlates of influenza vaccine among older adults residing in rural regions of south China: a cross-sectional study.

Seasonal influenza continues to pose a substantial public health challenge for older adults residing in rural areas worldwide. Vaccination remains the most efficacious means of preventing influenza. This study aimed to investigate the extent of influenza vaccine coverage and identify the factors influencing vaccine uptake among older adults in rural regions of south China. A cross-sectional study utilizing convenience sampling was conducted in two rural sites in Guangdong Province. Individuals needed to meet specific inclusion criteria: (1) attainment of 60 years of age or older; (2) originating from rural households; (3) demonstrating a voluntary desire to partake in the survey, either through written or verbal informed consent. Data encompassed variables such as socio-demographic information, influenza infection and vaccination history, knowledge and attitudes toward influenza vaccination, and perceived beliefs regarding the influenza vaccine. Univariate and multivariable logistic regression analyses were employed to ascertain the factors associated with influenza vaccine utilization. In the multivariable model, adjustments were made for gender, age, legal marital status, highest educational attainment, and monthly income. A total of 423 participants were ultimately included in this study, with the majority falling within the age range of 60-75 years (81.3%). Only one-third of the participants had received an influenza vaccine in the past year (30.0%). Notably, nearly half of the older adults exhibited hesitancy toward influenza vaccination (45.1%). The multivariable analysis revealed that rural older people with a robust understanding of influenza vaccines and a positive attitude toward them (adjusted odds ratio [aOR] = 2.60, 95% confidence interval [CI]: 1.41-4.81), along with a high level of trust in vaccination service providers (aOR = 2.58, 95% CI: 1.01-6.63), were positively associated with receiving influenza vaccination in the past year. This study reveals a low rate of influenza vaccine uptake among older adults residing in rural areas of south China. Given the limited adoption of influenza vaccination and the significant threat it poses, there is an urgent imperative to devise precise interventions aimed at enhancing the effectiveness of influenza vaccination programs.

“When my teacher quits, I’ll quit too.” – A mixed methods study on trust and (dis-)continuation in adult basic education

ABSTRACT Democratic values and social cohesion face challenges globally, affecting education access and participation. Global education policies aim to reduce barriers, particularly in literacy and adult basic education (ABE). Low literacy levels correlate with decreased social trust and stigmatisation, hindering further education enrolment due to associated shame. Trust emerges as a pivotal need among learners, facilitating enrolment bridged by trusted individuals, and enhancing the emotional value of participation. This study investigates the role of interpersonal trust in course (dis)continuation in the field of literacy and ABE. It explores clusters of learners based on generalised and particularised trust, examining how trust influences course continuation. Survey data was collected from 79 ABE learners in Germany and an exploratory cluster analysis was conducted. In-depth interviews with 8 active learners were matched with the results of the cluster analysis and were further qualitatively analysed. The analysis revealed two distinct learner clusters determined by trust levels. Findings underline the relevance of trust in drop-out decisions, both intra-individually and interpersonally. This study seeks to contribute to the discourse on the role of trust in drop-out and retention, thus aligning with the goal of enhancing social participation through basic education.

BLOCKCHAIN AND ITS APPLICATION IN THE DEFENCE SECTOR

The digital transformation of the economy affects many sectors, including the defence sector, which is sensitive from both a national and international perspective. The digitalisation of the economy is based on technologies such as robotics, autonomy, additive manufacturing technologies (3D printing), augmented reality, big data, quantum computers, artificial intelligence and blockchains. In this article, we will take a closer look at the latter, namely blockchain technology. We will briefly outline its main properties and advantages, which make it particularly attractive for use in the defence sector, and dwell on its application to implement such a tool as smart contracts. One of the key advantages of blockchain in the context of military operations is ensuring transparency and traceability of supplies. In today's realities, logistical problems can cost lives, but blockchain helps prevent fraud and improve coordination between interacting communication nodes. Thanks to the use of blockchain technologies, each unit of supply can be recorded in an immutable register, which allows you to track its path from sender to recipient. This reduces the risk of loss or theft, and simplifies the process of monitoring and verifying the accuracy of information about deliveries. In addition, the decentralised nature of the blockchain enhances the security of military communications, protecting them from interception and attack. Each message is encrypted in such a way that it can only be read by the addressee. This ensures a high level of confidentiality and data protection, as information transmitted through the blockchain is distributed among numerous network nodes, making it difficult for attackers to access. By using cryptographic methods, the blockchain ensures that even in the event of a successful attack, attackers will not be able to alter or falsify information. Creating a tamper-proof ID system will help fight counterfeiting and improve the process of identifying wounded or fallen soldiers. By assigning unique and unchangeable authenticators to personnel, equipment or weapons, one hundred per cent identification of military entities can be ensured. This allows for accurate tracking of the movement and status of each soldier and equipment, which contributes to more efficient resource management. This system also increases the level of trust in the information provided, as it is recorded in the blockchain and cannot be changed or deleted. The introduction of blockchain technology in the defence sector can bring significant benefits, including increased security, transparency and efficiency. However, this process is accompanied by numerous challenges and risks that need to be considered and overcome for successful integration.

An investigation of public trust in autonomous humanoid AI robot doctors: a preparation for our future healthcare system

As a preparation for our future healthcare system with artificial intelligence (AI)-based autonomous robots, this study investigated the level of public trust in autonomous humanoid robot (AHR) doctors that would be enabled by AI technology and introduced to the public for the sake of better healthcare accessibility and services in the future. Employing the most frequently adopted scales in measuring patients’ trust in their primary care physicians (PCPs), this study analyzed 413 survey responses collected from the general public in the United States and found trust in AHR nearly matched the level of trust in human doctors, although it was slightly lower. Based on the results of data analysis, this study provided explanations about the benefits of using AHR doctors and some proactive recommendations in terms of how to develop AHR doctors, how to implement them in actual medical practices, more frequent exposure of humanoid robots to the public, and the need of interdisciplinary collaboration to enhance public trust in AHR doctors. This line of study is urgently demanded because the placement of such advanced robot technology in the healthcare system is unavoidable as the public has experienced it more these days. The limitations arising from the non-experimental design, a voluntary response sampling through social media, and few theories on communication with humanoid robots remain tasks for future studies.

Assessing public trust in road traffic injuries prevention policies in Iran: a cross-sectional study.

Road Traffic Injuries (RTIs) represent the predominant cause of morbidity and mortality globally. Thus, impactful interventions and trustworthy authorities are imperative to mitigate traffic accidents. The present study seeks to assess public trust in traffic accident diminution policies and measures within the country of Iran. This cross-sectional study utilized a questionnaire comprising 31 questions distributed across eight dimensions. The questionnaire's design was informed by a literature review and semi-structured interviews with experts specializing in traffic accidents. The target population consisted of Tabriz city residents, who were selected via convenience sampling. The collected data were then analyzed using SPSS-16 software, employing the T-test, One-way ANOVA, and Pearson correlation coefficient to present the study's results. structural equation modeling (SEM) was conducted using R 4-4-2 programming language. A total of 681 participants completed the questionnaire, yielding a commendable response rate of 88.6%. The majority of participants were male (60.8%), and 86.2% identified as drivers, with 61.8% having experienced driving accidents. The overall score for public trust in RTIs policies was calculated to be 46.9%. The individual scores for specific domains of trust in traffic safety were as follows: safer roads (43.1%), safe vehicle (43.3%), safety laws (48.8%), safe user (51.1%), safe technology (51.5%), road safety management (46.8%). All the latent variables except education are significantly effective on public trust. The study findings indicate relatively low levels of public trust in RTIs policies among the Iranian population. These results emphasize the need for targeted interventions to enhance public confidence in specific aspects of traffic safety. Policymakers can use these insights to implement effective measures, thus contributing to the RTIs and the promotion of road safety in the country.

Three-Stage Cascade Information Attenuation for Opinion Dynamics in Social Networks.

In social network analysis, entropy quantifies the uncertainty or diversity of opinions, reflecting the complexity of opinion dynamics. To enhance the understanding of how opinions evolve, this study introduces a novel approach to modeling opinion dynamics in social networks by incorporating three-stage cascade information attenuation. Traditional models have often neglected the influence of second- and third-order neighbors and the attenuation of information as it propagates through a network. To correct this oversight, we redefine the interaction weights between individuals, taking into account the distance of opining, bounded confidence, and information attenuation. We propose two models of opinion dynamics using a three-stage cascade mechanism for information transmission, designed for environments with either a single or two subgroups of opinion leaders. These models capture the shifts in opinion distribution and entropy as information propagates and attenuates through the network. Through simulation experiments, we examine the ingredients influencing opinion dynamics. The results demonstrate that an increased presence of opinion leaders, coupled with a higher level of trust from their followers, significantly amplifies their influence. Furthermore, comparative experiments highlight the advantages of our proposed models, including rapid convergence, effective leadership influence, and robustness across different network structures.

Procedural Justice, Representation, and Institutional Trust in Mexico

Both theoretical and empirical studies suggest that confidence in institutions is crucial for the functioning of democratic political systems and is an important element of the citizen–state relationship. Trust in institutions has been mainly explained in terms of institutional performance or as an extension of interpersonal trust. Using data from the 2020 National Survey of Civic Culture (Encuesta Nacional de Cultura Cívica), we examined the determinants of Mexicans’ trust in two institutions elected via popular vote: Congress and the Presidency. We focus on procedural justice and representation to account for trust in both institutions. We found positive relationships (of different magnitudes) between citizens’ trust in both Congress and the Presidency and the indicators of perceived representation, procedural justice, institutional performance, and interpersonal trust. In addition, we found different and significant effects of party identification on trust levels in both institutions.

DYNAMICS OF THE STRUCTURE OF SOCIAL REPRESENTATIONS OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF SOCIAL CHANGE

The aim of the research is to study the dynamics of the structure of social representations of artificial intelligence (AI) among non-professionals. 258 students of different faculties aged from 18 to 24 took part in this study. The study took place in two stages: 1) November 2021, 2) March 2022. To identify the structure of the social perception of AI, the Vergès method was used based on the material of free associations. At the second stage, the level of respondents’ concern about the events of recent weeks in the economic and political spheres was additionally monitored. It was found that elements related to expectations of AI capabilities have strengthened the central core of the representation. Words with a connotation of danger appear in the periphery elements. Probably it is caused by both the activities of communication agents and the context of disturbing social changes. Against this background, it is important to enrich the knowledge of AI among ordinary people in order to form an adequate level of trust and distrust of recommendations based on it.

The Impact and Acceptance of Large Language Models in Healthcare: A Perspective from China

This research explores the impact of Large Language Models like GPT on the healthcare industry, focusing on operational efficiency, patient experience, and cost structures to promote greater inclusive innovation. Employing a mixed-methods approach, this study integrates quantitative data from structured surveys with qualitative insights from interviews. Grounded in empirical evidence from 66 valid surveys conducted among healthcare professionals and patients in China, this study employs SmartPLS for robust statistical analysis. The findings suggest a significant potential of LLMs in enhancing healthcare delivery, marked by improvements in operational efficiency and patient experience. While LLMs are perceived to potentially lower costs, the study reveals that cost reduction alone does not significantly influence the acceptance of LLM-integrated healthcare solutions in the Chinese context. The high level of trust and acceptance in using LLMs for diagnosis and treatment planning among respondents underscores a shift towards prioritizing quality and effectiveness in healthcare over mere cost savings. This study contributes to the discourse on AI adoption in healthcare, challenging existing assumptions and indicating a future where quality and outcome improvements may be more significant factors for technology acceptance. The research advocates for a balanced approach to LLM integration, emphasizing the importance of both economic and qualitative benefits in enhancing healthcare practices.

HOSPITAL SERVICE QUALITY AND CUSTOMER TRUST TOWARDS PATIENT SATISFACTION IN GENERATION MZ

According to Law Number 17 of 2023 of the Republic of Indonesia, health efforts, health resources, and health management are required to improve public health to the highest possible standard. Indonesian hospitals should provide patients with a degree of service excellence as supplied by medical, paramedical, and medical support staff. This research aims to understand, explore, and analyze based on empirically investigating the dimensions or attributes of service quality and evaluate the importance of variance attributes for Gen MZ patients at Hospital B. This quantitative study examines the relationship between service quality and brand trust (independent variable) towards patient satisfaction (dependent variable) in Gen MZ at Hospital B. This research was conducted from January to March 7, 2024; it involved 122 Generation MZ patients using non-probability purposive sampling to represent the population. Result shows that the similar levels of satisfaction and trust between Generations M and Z at Hospital B may be due to the hospital's standardized, high-quality services. This consistency ensures that both generations have comparable experiences. Additionally, Hospital B's effective use of technology, such as hospital apps and online medical information access, meets and exceeds the expectations of both groups.

Evaluating Trust in Blockchain Technology for Waqf Adoption: Insights from Importance-Performance Map Analysis

Blockchain technology offers transformative benefits for waqf by enhancing transparency, security, and efficiency. Its decentralized ledger system allows for independent transaction verification, reduces central authority risks, and improves accountability. However, while the potential benefits are significant, the success of blockchain-based waqf initiatives hinges on the level of trust that stakeholders place in this technology. Therefore, the study aims to examine the effect of trust in blockchain technology on the intention to adopt waqf blockchain with insight from importance-performance map analysis to better understand the relations between trust and intention. The study adopted a survey research design and data was collected through questionnaires distributed throughout Malaysia. The collected data were then analyzed using Smart-PLS software. The results of the analysis indicate a strong positive relationship between trust in blockchain technology and the intention to adopt waqf blockchain. However, the importance-performance map analysis shows a critical disparity exists between user expectations and actual performance, especially regarding the transaction process, which scored the lowest in performance. This implies a need to focus on improving the transaction process to align with user expectations.

The effectiveness of personal branding in forming a company image

The topic of personal branding and its impact on corporate image is of particular relevance. The research aims to explore the relationship between personal brand and company brand perception. The main goal of the work is to analyze how the level of trust, effectiveness and creative freedom of a personal brand affect the corporate image. The research is based on three key hypotheses: the higher the level of trust in the personal brand persona, the higher the perception of the company brand; the higher the effectiveness of the personal brand, the higher the perception of the company brand; the more creative freedom the personal brand persona has, the higher the image of the company brand. The analysis was conducted in Smart Pls software based on quantitative data obtained from the survey. The scientific significance of the work lies in the expansion of knowledge about the mechanisms of corporate image formation through personal branding. The practical significance of the research is expressed in the development of recommendations for companies on the effective use of personal branding to improve corporate image. The findings support the hypotheses by showing that trust in personal branding, its effectiveness and creative freedom have a positive impact on the perception of the company brand. The contribution of this study to the field of marketing and branding is to provide a new perspective on the use of personal branding as a strategic tool to enhance corporate image and market competitiveness. The practical significance of the results enables companies to develop more effective personal branding strategies, thereby improving their overall image and customer loyalty.

Exploring Dynamic Influences on Trust in Human-Autonomy Teaming: An Entropy and Event Layer Analysis

This research aims to study trust in Human-Autonomy Teaming (HAT). A multiple regression model was employed to explore potential predictors in tasks that might dynamically influence trust levels. By computing entropy across different system layers of a remotely piloted aerial vehicle system, we measured the influence of these dynamic predictors on trust. The findings suggest the presence of potential trust predictors in human-autonomy interactions as measured using entropy. Some layers had to be combined due to high multicollinearity, addressed through Principal Component Analysis (PCA). Further research is required for a more in-depth understanding of these components and their implications for trust dynamics.

“We just want equality”: perceptions of police, racism, and citizenship in Israel

ABSTRACT Perceptions of citizenship among minorities may change when a new generation views racism and discrimination by state authorities not as a temporary phenomenon but as an obstacle to full and meaningful citizenship. We illustrate this argument by focusing on attitudes toward the police among Jewish Israelis of Ethiopian descent, a racial immigrant minority. Our quantitative analysis shows that levels of trust in the police among them have substantially declined between 2013 and 2022. In addition, levels of trust among younger Ethiopian Israelis (age group 18–30) are lower than among older cohorts in this community. Our content analysis of media reports about Ethiopian-Israeli protesters indicates a change in how second-generation Ethiopian Israelis perceive their citizenship. On the one hand, a demand for equality based on their belonging to the collective and contribution to the Jewish-Zionist common good, while on the other hand, a rejection of the attempts to obscure institutional racism.

Responding to fluctuations in public and community trust and health seeking behaviour during the COVID-19 pandemic: a qualitative study of national decision-makers’ perspectives in Guinea and Sierra Leone

BackgroundThe level of trust in health systems is often in flux during public health emergencies and presents challenges in providing adequate health services and preventing the spread of disease. Experiences during previous epidemics has shown that lack of trust can impact the continuity of essential health services and response efforts. Guinea and Sierra Leone were greatly challenged by a lack of trust in the system during the Ebola epidemic. We thus sought to investigate what was perceived to influence public and community trust in the health system during the COVID-19 pandemic, and what strategies were employed by national level stakeholders in order to maintain or restore trust in the health system in Guinea and Sierra Leone.MethodsThis qualitative study was conducted through a document review and key informant interviews with actors involved in COVID-19 and/or in malaria control efforts in Guinea and Sierra Leone. Key informants were selected based on their role and level of engagement in the national level response. Thirty Six semi-structured interviews (16 in Guinea, 20 in Sierra Leone) were recorded, transcribed, and analyzed using an inductive and deductive framework approach to thematic analysis.ResultsKey informants described three overarching themes related to changes in trust and health seeking behavior due to COVID-19: (1) reignited fear and uncertainty among the population, (2) adaptations to sensitization and community engagement efforts, and (3) building on the legacy of Ebola as a continuous process. Communication, community engagement, and on-going support to health workers were reiterated as crucial factors for maintaining trust in the health system.ConclusionLessons from the Ebola epidemic enabled response actors to consider maintaining and rebuilding trust as a core aim of the pandemic response which helped to ensure continuity of care and mitigate secondary impacts of the pandemic. Monitoring and maintaining trust in health systems is a key consideration for health systems resilience during public health emergencies.

Взаимосвязь доверия к власти и гражданского участия

Purpose. To determine the limits of the integrative nature of the category “trust in government” and analyze the mutual influence of the level of trust in government and management and the level of civic activity of the population, as well as raise the question of the dual influence of the process of strengthening trust in government. Methodology: dialectics, analysis. Conclusions. On the one hand, trust is a factor in the stability of the state system and a predictor of active civic participation. Strengthening trust in the authorities on the part of the population is permanently necessary. But, on the other hand, a high level of trust in the authorities reduces the indicators of civil participation of the population in solving the affairs of society and the state. Due to the fact that increasing the level of trust, as practice shows, reduces the civic activity of the population, it is necessary to look for ways to activate the participation of citizens in the affairs of society and the state, to create a culture of participation in society while strengthening trust in the activities of government bodies. Scientific and practical relevance: scientific and practical significance. The article is aimed at raising questions for the research activities of legal scholars and the work of practitioners about finding directions for activating civic participation, a balance between measures to increase trust in authorities and maintaining citizens’ interest in participation, co-production and management.