Perceived Risk, Trust, and Democracy

Risk management has become increasingly politicized and contentious. Polarized views, controversy, and overt conflict have become pervasive. Risk-perception research has recently begun to provide a new perspective on this problem. Distrust in risk analysis and risk management plays a central role in this perspective. According to this view, the conflicts and controversies surrounding risk management are not due to public ignorance or irrationality but, instead, are seen as a side effect of our remarkable form of participatory democracy, amplified by powerful technological and social changes that systematically destroy trust. Recognizing the importance of trust and understanding the "dynamics of the system" that destroys trust has vast implications for how we approach risk management in the future.     

The Determinants of Trust and Credibility in Environmental Risk Communication: An Empirical Study

This study examines a key component of environmental risk communication; trust and credibility. The study was conducted in two parts. In the first part, six hypotheses regarding the perceptions and determinants of trust and credibility were tested against survey data. The hypotheses were supported by the data. The most important hypothesis was that perceptions of trust and credibility are dependent on three factors: perceptions of knowledge and expertise; perceptions of openness and honesty; and perceptions of concern and care. In the second part, models were constructed with perceptions of trust and credibility as the dependent variable. The goal was to examine the data for findings with direct policy implications. One such finding was that defying a negative stereotype is key to improving perceptions of trust and credibility.     

Salient Value Similarity, Social Trust, and Risk/Benefit Perception

It was postulated that shared values determine social trust in institutions and persons related to a technology: One has trust in people holding similar salient values. Furthermore, it was hypothesized that social trust has a positive influence on perceived benefits and a negative impact on perceived risks. Results of a survey of University of Zürich students indicated that the proposed causal model explained perception of pesticides, nuclear power, and artificial sweetener very well. When social trust was controlled, the relation between risks and benefits perceived diminished. Results indicate that social trust is a key predictive factor of the perceived risks and benefits of a technology, and provide support for the salient values similarity theory of social trust.     

Trust, confidence, procedural fairness, outcome fairness, moral conviction, and the acceptance of GM field experiments

In 2005, Swiss citizens endorsed a moratorium on gene technology, resulting in the prohibition of the commercial cultivation of genetically modified crops and the growth of genetically modified animals until 2013. However, scientific research was not affected by this moratorium, and in 2008, GMO field experiments were conducted that allowed us to examine the factors that influence their acceptance by the public. In this study, trust and confidence items were analyzed using principal component analysis. The analysis revealed the following three factors: "economy/health and environment" (value similarity based trust), "trust and honesty of industry and scientists" (value similarity based trust), and "competence" (confidence). The results of a regression analysis showed that all the three factors significantly influenced the acceptance of GM field experiments. Furthermore, risk communication scholars have suggested that fairness also plays an important role in the acceptance of environmental hazards. We, therefore, included measures for outcome fairness and procedural fairness in our model. However, the impact of fairness may be moderated by moral conviction. That is, fairness may be significant for people for whom GMO is not an important issue, but not for people for whom GMO is an important issue. The regression analysis showed that, in addition to the trust and confidence factors, moral conviction, outcome fairness, and procedural fairness were significant predictors. The results suggest that the influence of procedural fairness is even stronger for persons having high moral convictions compared with persons having low moral convictions.     

Trust,Emotion, Sex,Politics, and Science: Surveying the Risk-Assessment Battlefield

Risk management has become increasingly politicized and contentious. Polarized views, controversy, and conflict have become pervasive. Research has begun to provide a new perspective on this problem by demonstrating the complexity of the concept risk and the inadequacies of the traditional view of risk assessment as a purely scientific enterprise. This paper argues that danger is real, but risk is socially constructed. Risk assessment is inherently subjective and represents a blending of science and judgment with important psychological, social, cultural, and political factors. In addition, our social and democratic institutions, remarkable as they are in many respects, breed distrust in the risk arena. Whoever controls the definition of risk controls the rational solution to the problem at hand. If risk is defined one way, then one option will rise to the top as the most cost-effective or the safest or the best. If it is defined another way, perhaps incorporating qualitative characteristics and other contextual factors, one will likely get a different ordering of action solutions. Defining risk is thus an exercise in power. Scientific literacy and public education are important, but they are not central to risk controversies. The public is not irrational. Their judgments about risk are influenced by emotion and affect in a way that is both simple and sophisticated. The same holds true for scientists. Public views are also influenced by worldviews, ideologies, and values; so are scientists' views, particularly when they are working at the limits of their expertise. The limitations of risk science, the importance and difficulty of maintaining trust, and the complex, sociopolitical nature of risk point to the need for a new approach—one that focuses upon introducing more public participation into both risk assessment and risk decision making in order to make the decision process more democratic, improve the relevance and quality of technical analysis, and increase the legitimacy and public acceptance of the resulting decisions.     

Exploring the Dimensionality of Trust in Risk Regulation

This article investigates possible differential levels of trust in government regulation across five different risk contexts and the relationship between a number of concepts that might be thought of as comprising distinctive "dimensions" of trust. It appeared that how people perceive government and its policies toward risk regulation was surprisingly similar for each of the five risk cases. A principal-component analysis showed that the various trust items could best be described by two dimensions: a general trust dimension, which was concerned with a wide range of trust-relevant aspects, such as competence, care, fairness, and openness, and a scepticism component that reflects a sceptical view regarding how risk policies are brought about and enacted. Again, the results were surprisingly similar across the five risk cases, as the same solution was found in each of the different samples. It was also examined whether value similarity has an additional value in predicting trust in risk regulation, compared to the more conventional aspects of trust. Based on the two independent trust factors that were found in this study, a typology of trust is proposed that ranges from full trust to a deep type of distrust. It is argued that for a functioning society it could well be more suitable to have critical but involved citizens in many situations.     

Shared Values, Social Trust, and the Perception of Geographic Cancer Clusters

Extensive scientific investigations often fail to identify specific carcinogens that have caused geographic clusters of cancer cases. In many such examples, public health officials and other experts have concluded that the cluster is not the result of a particular local environmental condition. Despite this conclusion by experts, concerned members of local communities often persist in believing that the cancer cluster was not random. The present study accounts for the persistence of this belief on the basis of two factors: (a) the tendency of the human mind to identify patterns (and causes), rather than randomness; and (b) a lack of social trust in public health experts. It was expected that perceived shared values evoke social trust. Individuals who conclude that public health experts share their values should be more likely to accept the experts' conclusion that a cancer cluster reflects randomness, not a particular local cause. Individuals who trust authorities should be more inclined than individuals not having trust to accept that a geographic cluster of cancer cases is a coincidence. Data from Swiss students (N = 334) supported these expectations. Additionally, significant gender differences were observed. Females had less trust in authorities and perceived the cancer cluster as less likely to be a result of pure chance than did males. Practical implications of the results are discussed.     

Trust and Risk Perception in Western Europe: A Cross-National Study

The relationship between trust and risk perception was investigated, within and across four European countries (Sweden, Spain, United Kingdom, and France). Survey data were collected in 1996; total number of respondents was approximately 1,000 (United Kingdom and Spain), 1,350 (France), and 2,050 (Sweden). Trust was a significant predictor of perceived risk within countries, but the strength of the relationship varied from weak (Spain and France) to moderate (United Kingdom and Sweden). General trust was also a significant source of variation in perceived risk among countries, but much of the variation in perceived risk remained unexplained. Correlations between trust and risk perception also varied depending on the type of risk (i.e., nuclear risks were more influenced by trust) and trust measure (i.e., general trust explained perceived risk better than specific trust). It is concluded that trust may be an element in models explaining risk perception, but it is not as powerful as often argued in the risk perception literature.     

Intervening Effects of Knowledge, Morality, Trust, and Benefits on Support for Animal and Plant Biotechnology Applications

Data from a regional Southwest telephone survey in the United States (N= 432) were used to examine the intervening effects of knowledge, morality, trust, and benefits on support for animal and plant biotechnology applications. Results showed that perceptions of agricultural biotechnologies varied by the two applications-animals and plants. Respondents reported higher opposition to the genetic modification of animals, which is consistent with prior research. Results also indicated that morality and perceived benefits directly affected support for both animal and plant applications, but trust and knowledge only had indirect effects. Morality and perceived benefits accounted for most of the variance explained among the intervening variables. The effects of trust were mediated through perceived benefits. The effects of knowledge on support were mediated primarily through trust. The influence of sociodemographic and consumer behavior variables varied by application. Results lend support to several theoretical notions. First, the significance of perceived benefits supports that there is an inverse relationship between benefits and risks. Second, moral objections may outweigh perceived benefits for specific applications, and the genetic modification of animals is deemed to be more morally unacceptable than the genetic modification of plants. These findings demonstrate the need to understand more thoroughly the moral and ethical issues surrounding novel technologies. Third, this research supports the claim that trust is not a powerful predictor of perceptions of technological products, which is contrary to most risk perception research.     

Medical capacity investment for epidemic disease: The effects of policymaker's confidence and public trust

Due to the server bed shortage, which has raised ethical dilemmas in the earliest days of the COVID-19 crisis, medical capacity investment has become a vital decision-making issue in the attempt to contain the epidemic. Furthermore, economic strength has failed to explain the significant performance difference across countries in combatting COVID-19. Unlike common diseases, epidemic diseases add substantial unpredictability, complexity, and uncertainty to decision-making. Knowledge miscalibration on epidemiological uncertainties by policymaker's over- and underconfidence can seriously impact policymaking. Ineffective risk communication may lead to conflicting and incoherent information transmission. As a result, public reactions and attitudes could be influenced by policymakers' confidence due to the level of public trust, which eventually affects the degree to which an epidemic spreads. To uncover the impacts of policymakers' confidence and public trust on the medical capacity investment, we establish epidemic diffusion models to characterize how transmission evolves with (and without) vaccination and frame the capacity investment problem as a newsvendor problem. Our results show that if the public fully trusts the public health experts, the policymaker's behavioral bias is always harmful, but its effect on cost increment is marginal. If a policymaker's behavior induces public reactions due to public trust, both the spread of the epidemic and the overall performance will be significantly affected, but such impacts are not always harmful. Decision bias may be beneficial when policymakers are pessimistic or highly overconfident. Having an opportunity to amend initially biased decisions can debias a particular topic but has a limited cost-saving effect.     

Emotions,Trust, and Perceived Risk: Affective and Cognitive Routes to Flood Preparedness Behavior

Despite the prognoses of the effects of global warming (e.g., rising sea levels, increasing river discharges), few international studies have addressed how flood preparedness should be stimulated among private citizens. This article aims to predict Dutch citizens’ flood preparedness intentions by testing a path model, including previous flood hazard experiences, trust in public flood protection, and flood risk perceptions (both affective and cognitive components). Data were collected through questionnaire surveys in two coastal communities (n= 169, n= 244) and in one river area community (n= 658). Causal relations were tested by means of structural equation modeling (SEM). Overall, the results indicate that both cognitive and affective mechanisms influence citizens’ preparedness intentions. First, a higher level of trust reduces citizens’ perceptions of flood likelihood, which in turn hampers their flood preparedness intentions (cognitive route). Second, trust also lessens the amount of dread evoked by flood risk, which in turn impedes flood preparedness intentions (affective route). Moreover, the affective route showed that levels of dread were especially influenced by citizens’ negative and positive emotions related to their previous flood hazard experiences. Negative emotions most often reflected fear and powerlessness, while positive emotions most frequently reflected feelings of solidarity. The results are consistent with the affect heuristic and the historical context of Dutch flood risk management. The great challenge for flood risk management is the accommodation of both cognitive and affective mechanisms in risk communications, especially when most people lack an emotional basis stemming from previous flood hazard events.     

Communicating about the Risks and Benefits of Genetically Modified Foods: The Mediating Role of Trust

Recent research suggests that public attitudes toward emerging technologies are mainly driven by trust in the institutions promoting and regulating these technologies. Alternative views maintain that trust should be seen as a consequence rather than a cause of such attitudes. To test its actual role, direct as well as mediating effects of trust were tested in an attitude change experiment involving 1,405 consumers from Denmark, Germany, Italy, and the United Kingdom. After prior attitudes to genetic modification in food production had been assessed, participants received different information materials (either product-specific information or balanced/general information about genetic modification in food production) and were asked to evaluate different types of genetically modified foods (either beer or yoghurt). The information materials were attributed to different information sources (either an industry association, a consumer organization, or a government source). After completion, perceived risk and perceived benefit were assessed, and participants indicated their trust in the information sources to which the materials had been attributed. Direct and trust-mediated attitude change effects were estimated in a multi-sample structural equation model. The results showed that information provision had little effect on people's attitudes toward genetically modified foods, and that perceptions of information source characteristics contributed very little to attitude change. Furthermore, the type of information strategy adopted had almost no impact on postexperimental attitudes. The extent to which people trusted the information sources appeared to be driven by people's attitudes to genetically modified foods, rather than trust influencing the way that people reacted to the information. Trust was not driving risk perception-rather, attitudes were informing perceptions of the motivation of the source providing the information.     

Trust in Risk Management: A Model‐Based Review of Empirical Research

This review of studies of trust in risk management was designed, in part, to examine the relations between the reviewed research and the consensus model of trust that has recently emerged in other fields of study. The review begins by briefly elaborating the consensus views on the dimensionality and function of trust. It then describes the various models of trust that have been developed in the field of risk management, comparing them with the consensus approach. The findings of previous reviews are outlined, followed by a delineation of the open questions addressed by the present review, the method used, and the results. Finally, the findings of the review are discussed in relation to the important issue of trust asymmetry, the role of trust in risk management, and directions for future research. The consensus model specifies two conceptualizations of trust, each linked to particular types of antecedents. Relational trust, which is called trust in this review, is based on the relations between the trusting person and the other. Calculative trust, which is called confidence, is based on past behavior of the other and/or on constraints on future behavior. Results of this review showed that most studies of trust in risk management, while exploring matters of particular concern to the risk management community, were at least in part consistent with the consensus model. The review concludes by urging greater integration between the concerns of the former and the insights of the latter.     

Risk Perceptions and Trust Following the 2010 and 2011 Icelandic Volcanic Ash Crises

Eruptions at the Icelandic volcanoes of Eyjafjallajökull (2010) and Grimsvötn (2011) produced plumes of ash posing hazards to air traffic over northern Europe. In imposing restrictions on air traffic, regulators needed to balance the dangers of accidents or aircraft damage against the cost and inconvenience to travelers and industry. Two surveys examined how members of the public viewed the necessity of the imposed restrictions and their trust in different agencies as estimators of the level of risk. Study 1 was conducted with 213 British citizens (112 males, 101 females), who completed questionnaires while waiting for flights at London City Airport during May 2012. Study 2 involved an online survey of 301 Icelandic citizens (172 males, 127 females, 2 undeclared gender) during April 2012. In both samples, there was general support for the air traffic restrictions, especially among those who gave higher estimates of the likelihood of an air accident or mishap having otherwise happened. However, in both countries, the (minority of) respondents who had personally experienced travel disruption were less convinced that these restrictions were all necessary. Scientists, the International Civil Aviation Organization, and (in Iceland) the Icelandic Department of Civil Protection were all highly trusted, and seen as erring on the side of caution in their risk estimates. Airlines were seen as more likely to underestimate any risk. We conclude that perceptions of the balance between risk and caution in judgments under uncertainty are influenced by one's own motives and those attributed to others.     

Competence-Based and Integrity-Based Trust as Predictors of Acceptance of Carbon Dioxide Capture and Storage (CCS)

Public trust in organizations that are involved in the management and use of new technologies affects lay judgments about the risks and benefits associated with these technologies. In turn, judgments about risks and benefits influence lay attitudes toward these technologies. The validity of this (indirect) effect of trust on lay attitudes toward new technologies, which is referred to as the causal chain account of trust, has up till now only been examined in correlational research. The two studies reported in this article used an experimental approach to more specifically test the causal chain account of trust in the context of carbon dioxide capture and storage technology (CCS). Complementing existing literature, the current studies explicitly distinguished between two different types of trust in organizations: competence-based trust (Study 1) and integrity-based trust (Study 2). In line with predictions, results showed that the organizational position regarding CCS implementation (pro versus con) more strongly affected people's risk and benefit perceptions and their subsequent acceptance of CCS when competence-based trust was high rather than low. In contrast, the organizational position had a greater impact on people's level of CCS acceptance when integrity-based trust was low rather than high.     

Presenting Uncertainty in Health Risk Assessment: Initial Studies of Its Effects on Risk Perception and Trust

Some analysts suggest that discussing uncertainties in health risk assessments might reduce citizens'perceptions of risk and increase their respect for the risk-assessing agency. We tested this assumption with simulated news stories varying simple displays of uncertainty (e.g., a range of risk estimates, with and without graphics). Subjects from Eugene, Oregon, read one story each, and then answered a questionnaire. Three studies tested between 180 and 272 subjects each. Two focus groups obtained more detailed responses to these stories. The results suggested that (1) people are unfamiliar with uncertainty in risk assessments and in science; (2) people may recognize uncertainty when it is presented simply; (3) graphics may help people recognize uncertainty; (4) reactions to the environmental problems in the stories seemed affected less by presentation of uncertainty than by general risk attitudes and perceptions; (5) agency discussion of uncertainty in risk estimates may signal agency honesty and agency incompetence for some people; and (6) people seem to see lower risk estimates (10^-6, as opposed to 10^-3) as less credible. These findings, if confirmed, would have important implications for risk communication.     

Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions

Automated driving (AD) is one of the most significant technical advances in the transportation industry. Its safety, economic, and environmental benefits cannot be realized if it is not used. To explain, predict, and increase its acceptance, we need to understand how people perceive and why they accept or reject AD technology. Drawing upon the trust heuristic, we tested a psychological model to explain three acceptance measures of fully AD (FAD): general acceptance, willingness to pay (WTP), and behavioral intention (BI). This heuristic suggests that social trust can directly affect acceptance or indirectly affect acceptance through perceived benefits and risks. Using a survey (N = 441), we found that social trust retained a direct effect as well as an indirect effect on all FAD acceptance measures. The indirect effect of social trust was more prominent in forming general acceptance; the direct effect of social trust was more prominent in explaining WTP and BI. Compared to perceived risk, perceived benefit was a stronger predictor of all FAD acceptance measures and also a stronger mediator of the trust–acceptance relationship. Predictive ability of the proposed model for the three acceptance measures was confirmed. We discuss the implications of our results for theory and practice.     

Source Credibility in Environmental Health – Risk Controversies: Application of Meyer's Credibility Index

This article applies an existing five-item index for measuring source credibility in the context of environmental health-risk controversy. Survey data were gathered in five upstate New York communities facing environmental health-risk issues. Analysis of the five case studies and a combined dataset (N = 870) show that the credibility index was consistently reliable across all applications. Use of the resulting index is demonstrated through a comparison of the credibility of the New York State Department of Health (active in each case), the industries associated with each case, and the newspaper providing coverage of each case. The credibility index was used to predict risk judgments in a structural equation model. Overall, the analysis demonstrated that the credibility index performed consistently well across the five cases and illuminated important differences in each. As such, the index should be a useful addition to many environmental health and risk communication studies.     

The Influence of Trust and Perceptions of Risks and Benefits on the Acceptance of Gene Technology

A causal model explaining acceptance of gene technology was tested. It was hypothesized that trust in institutions using gene technology or using modified products has a positive impact on perceived benefit and a negative influence on perceived risk of this technology. Furthermore, perceived benefit and perceived risk determine acceptance of biotechnology. In other words, trust has an indirect influence on the acceptance of the technology. The postulated model was tested using structural equation modeling procedures and data from a random quota sample of 1001 Swiss citizens between 18 and 74 years old. Results indicated that the proposed model fits the data very well. The same causal model explains females' and males' acceptance of gene technology. Gender differences were found for the latent variables trust, perceived benefit, and acceptance of gene technology. Females indicated more trust, perceived less benefit, and demonstrated less acceptance than did males. No significant difference was observed for perceived risk. The implications of the results are discussed.     

Test of a Trust and Confidence Model in the Applied Context of Electromagnetic Field (EMF) Risks

Trust is an important factor in risk management. There is little agreement among researchers, however, on how trust in risk management should be studied. Based on a comprehensive review of the trust literature a "dual-mode model of social trust and confidence" is proposed. Trust and confidence are separate but, under some circumstances, interacting sources of cooperation. Trust is based on value similarity, and confidence is based on performance. According to our model, judging similarity between an observer's currently active values and the values attributed to others determines social trust. Thus, the basis for trust is a judgment that the person to be trusted would act as the trusting person would. Interpretation of the other's performance influences confidence. Both social trust and confidence have an impact on people's willingness to cooperate (e.g., accept electromagnetic fields or EMF in the neighborhood). The postulated model was tested in the applied context of EMF risks. Structural equation modeling procedures and data from a random sample of 1,313 Swiss citizens between 18 and 74 years old were used. Results indicated that after minor modifications the model explained the data very well. In the applied context of EMF risks, both trust and confidence had an impact on cooperation. Results suggest that the dual-mode model of social trust and confidence could be used as a common framework in the field of trust and risk management. Practical implications of the results are discussed.