Societal Risk Perception Research Articles

Different Risks—Different Views: How Hydrogen Infrastructure Is Linked to Societal Risk Perception

Herein, risk perception as one relevant factor for public acceptance and examines the different levels of risk that play a role in the evaluation of new technologies and links them to the current societal discourses on the development of a hydrogen economy is addressed. The conceptual framework is based on a holistic understanding of risk that goes beyond mere technology assessment and also includes systemic risks along the value chain; different stakeholder perspectives are also addressed. Thus, the results of a media analysis are combined with the results of a representative survey in Germany. Results show a rather low risk perception of hydrogen in the public combined with a high degree of uncertainty in the respective risk estimation. Systemic risks like security of supply or increasing energy costs are perceived more strongly compared to accidental risks from hydrogen infrastructure, whereas for the public acceptance potential health risks show the strongest correlation. Overall, the study shows the relevance of risk considerations in the introduction of new technologies and accompanying communication measures.

Designing and Psychometric Evaluation of a Questionnaire for Assessing Society's Perception of Flash Flood Risk

Background: Public perception of risks associated with natural disasters like flash floods significantly influences disaster management effectiveness. Flash floods pose a major threat to life and property, and a lack of tools to evaluate societal risk perception creates a critical gap. Objectives: This study aimed to design and evaluate the psychometric properties of a questionnaire specifically assessing society's perception of flash flood risk. Methods: A two-stage approach was employed. The first stage involved collecting questionnaire items through a systematic literature review and a qualitative study. In the second stage, a comprehensive psychometric evaluation was conducted, including assessments of face validity, content validity, and construct validity. Reliability was established using Cronbach's alpha. Confirmatory factor analysis was further conducted with data collected from 136 community members who had experienced flash floods. Data analysis was performed using SPSS version 20 and AMOS software. Results: A combination of qualitative data and systematic review findings facilitated the development of 36 initial questionnaire items. Applying quantitative and qualitative construct validity measures led to the refinement of the instrument, resulting in 29 final items categorized into three domains: Risk perception (12 items), awareness (10 items), and preparedness (7 items). The internal consistency of the instrument was confirmed by a Cronbach's alpha coefficient of 0.88. Factor analysis further supported the good fit of the hypothesized model to the data. Conclusions: This study successfully developed and rigorously evaluated a questionnaire to assess society's perception of flash flood risk. This instrument offers valuable insights for informed decision-making and identification of factors influencing risk perception, ultimately contributing to improved disaster preparedness and management.

Redefining Arctic boundaries in a changing climate: interdisciplinary perspectives on governance strategies

ABSTRACT The Arctic rapidly transforms due to global warming and increased human activities, triggering complex changes at unprecedented speeds that challenge conventional institutional responses. We analyse these changes through the lenses of social, political, and environmental boundaries and investigate their impacts on both inhabitants' livelihoods and the region's political framework. Employing an interdisciplinary approach, we highlight the complexities of understanding the interplay among global, regional, and local dynamics in an era where human and non-human aspects are entwined. Our analysis concentrates on three areas: definition of the Arctic; legal disputes concerning the waters around the Svalbard Archipelago; evolving natural hazards and societal risk perceptions in Longyearbyen. Through these examples, we underscore the intricate nature of social, political, and ecological changes and how they challenge current boundary-making processes. By combining knowledge from different systems and scales, our research reveals the interplay between policy-driven science, science-influenced policy, and performative behaviors in reshaping today's Arctic borders and boundaries. We particularly emphasize how climate change is challenging borders and advocate for a departure from static definitions, towards the formulation of environmentally conscious, socially just, and politically viable policies, acknowledging the new biophysical realities of the Anthropocene.

The Antecedents of Collaborative Behavior for Climate Change Mitigation among South Koreans: The Moderation Analyses of a Sense of Community as Responsibility, Neighborliness, and Trust

The collective efforts of various social actors from different sectors have contributed to climate change mitigation. Identifying the important antecedents of collaborative behavior to address climate change helps us understand the underlying process. This study focused on important theoretical frameworks that determine collaborative behavior as civic engagement. Specifically, the study examines perceived societal risk to future generations, sense of community as responsibility (SOC-R), neighborliness, and trust in collaborative behavior to mitigate climate change. It also investigates the boundary conditions of the effects of societal risk perception on collaborative behavior change by examining the moderating roles of SOC-R, neighborliness, and trust. A nationwide online survey was conducted in South Korea. The findings reveal significant effects of societal risk perception and SOC-R on behavioral intention. Moreover, SOC-R and trust moderated the causal relationship between societal risk perception and behavioral intention, such that the relationship was more pronounced at lower SOC-R and trust. These findings have implications for communication practices and policy making that motivate collective action against climate change in South Korea.

The Risk Culture Framework: Introducing an Integrative Framework for Holistic Risk Analysis

Risk culture shapes individual, group, organizational, and societal risk perception, and behavior, and, therefore, is a promising concept in risk analysis. Risk culture concepts are popular among practitioners since they have the potential to integrate different research strands and provide practical guidelines. However, such concepts are still ill-defined, and their empirical foundations are limited. We introduce a new framework for risk culture derived from research on organizational culture and risk climate that aims to overcome the shortcomings of current models. The Risk Culture Framework is a 3 × 3 matrix that differentiates three influence domains (i.e., person, social context, and risk situation) and three cultural layers (i.e., observable, non-observable, and implicit factors). The framework can be applied in different contexts and fields of risk research. Each cell of the matrix can be filled with specific, proven factors relevant to the context of interest. The framework aims to enable the integration of different disciplines and approaches, to enlarge the understanding of mechanisms that shape risk perception and behavior, to navigate the conception of research studies, to provide a blueprint for comprehensive risk measures, to guide practical risk analysis, and to facilitate benchmarking for appropriate risk cultures. Considerations for the application of the Risk Culture Framework, as well as its validation through future research, are outlined.

The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis.

During the COVID-19 pandemic, there was limited adoption of contact-tracing apps (CTAs). Adoption was particularly low among vulnerable people (eg, people with a low socioeconomic position or of older age), while this part of the population tends to have lesser access to information and communication technology and is more vulnerable to the COVID-19 virus. This study aims to understand the cause of this lagged adoption of CTAs in order to facilitate adoption and find indications to make public health apps more accessible and reduce health disparities. Because several psychosocial variables were found to be predictive of CTA adoption, data from the Dutch CTA CoronaMelder (CM) were analyzed using cluster analysis. We examined whether subgroups could be formed based on 6 psychosocial perceptions (ie, trust in the government, beliefs about personal data, social norms, perceived personal and societal benefits, risk perceptions, and self-efficacy) of (non)users concerning CM in order to examine how these clusters differ from each other and what factors are predictive of the intention to use a CTA and the adoption of a CTA. The intention to use and the adoption of CM were examined based on longitudinal data consisting of 2 time frames in October/November 2020 (N=1900) and December 2020 (N=1594). The clusters were described by demographics, intention, and adoption accordingly. Moreover, we examined whether the clusters and the variables that were found to influence the adoption of CTAs, such as health literacy, were predictive of the intention to use and the adoption of the CM app. The final 5-cluster solution based on the data of wave 1 contained significantly different clusters. In wave 1, respondents in the clusters with positive perceptions (ie, beneficial psychosocial variables for adoption of a CTA) about the CM app were older (P<.001), had a higher education level (P<.001), and had higher intention (P<.001) and adoption (P<.001) rates than those in the clusters with negative perceptions. In wave 2, the intention to use and adoption were predicted by the clusters. The intention to use CM in wave 2 was also predicted using the adoption measured in wave 1 (P<.001, β=-2.904). Adoption in wave 2 was predicted by age (P=.022, exp(B)=1.171), the intention to use in wave 1 (P<.001, exp(B)=1.770), and adoption in wave 1 (P<.001, exp(B)=0.043). The 5 clusters, as well as age and previous behavior, were predictive of the intention to use and the adoption of the CM app. Through the distinguishable clusters, insight was gained into the profiles of CM (non)intenders and (non)adopters. OSF Registries osf.io/cq742; https://osf.io/cq742.

코로나19 유행시기의 대학생 신체건강 증진요인 고찰: 건강콘텐츠노출, 건강정보주목, 개인적·사회적 위험인식, 건강자기효능감 역할 분석

코로나19 감염병 대유행으로 취약해지고 있는 대학생들의 신체건강문제는 개인적․사회적 차원의 관리영역이 되어야 한다. 이에 본 연구는 대학생들의 신체건강증진에 영향을 줄 수 있는 선행변인들(건강콘텐츠노출, 건강정보주목, 개인적․사회적 위험인식, 건강자기효능감)의 효과를 비교분석하고자 하였다. 더 나아가 두 가지 유형의 위험인식과 신체건강증진의도간의 관계에서 건강자기효능감의 조절효과를 탐색하였다. 이를 위해 편의표집된 국내대학생들 대상(N=216)으로 온라인 설문조사를 실시하였다. 분석결과, 건강정보주목과 건강자기효능감은 신체건강증진의도에 정적인 영향을 끼치었으나, 건강콘텐츠노출 및 개인적․사회적 위험인식은 유의미한 영향력을 보여주지 못했다. 또한 건강자기효능감의 유의미한 조절효과가 확인되었는데, 구체적으로는 자기효능감이 낮은 집단에서 개인적․사회적 위험인식이 각각 신체건강증진의도에 영향을 줄 수 있음을 검증하였다. 본 연구의 시사점은 헬스․위험커뮤니케이션 연구자들과 캠페인 실무가들이 대학생을 위한 공중세분화 및 신체건강증진 소통전략을 기획하는 과정에서 건강정보주목, 자기효능감, 위험인식을 보다 효과적으로 활용해야 한다는 점이다.

Collateral damage from debunking mRNA vaccine misinformation.

Amid the COVID-19 pandemic, the scientific community has been understandably eager to combat misinformation about issues such as vaccine safety. In highly polarized information environments, however, even well-intentioned messages have the potential to produce adverse effects. In this study, we connect different disciplinary strands of social science to derive and experimentally test the novel hypothesis that although particular efforts to debunk misinformation about mRNA vaccines will reduce relevant misperceptions about that technology, these correctives will harm attitudes toward other types of vaccines. We refer to this as the "collateral damage hypothesis." Our study specifically examines a corrective message stating that "mRNA vaccines do not contain live virus," and our results offer some support for our hypothesis, with the corrective triggering increased societal risk perceptions of live vaccines. We also find that the effect is, predictably, most evident among those whose vaccine acceptance is low. Building on the theoretical grounding we outline, we test a "damage control" adjustment to the corrective message and present evidence supporting that it mitigates the collateral damage.

Predicting the sharing and reception of COVID-19-related information on social media

In a health crisis, social media is one of the primary means of disseminating and receiving information. Nevertheless, questions remain regarding what facilitates individual engagement in sharing or receiving information in the context of COVID-19, specifically for the Indonesian context. Analysis of a questionnaire survey among 255 from the random population of Indonesian showed that sharing information is predicted by gender and education. There was no significant relationship between social-demographic and receiving information. For psychosocial characteristics, personal risk perception predicted receiving information, while sharing information was predicted by societal risk perception. Societal risk perception and self-efficacy interacted with each other to predict the sharing of COVID-19-related information. One of the findings indicated a socio-cultural feature through which is considered to play an important role in personal and societal risk perception when sharing or expressing information. Given the benefits of social media communication during this pandemic, this study suggested that governments and policymakers should pay closer attention to a local community that is more effective in keeping everyone safe. Unfortunately, on another side, social media provides less information about narratives, storytelling, and empathy to maintain public trust.

Communicating leakage risk in the hydrogen economy: Lessons already learned from geoenergy industries

Hydrogen is set to play a part in delivering a net zero emissions future globally. However, previous research finds that risk perception issues are particularly challenging for emerging and potentially unfamiliar technologies. Hydrogen as a fuel falls into this category. Thus, while the hydrogen value chain could offer a range of potential environmental, economic and social benefits, it is imperative that the roll-out of hydrogen fits with societal expectations of how risk ought to be managed—and by whom. Communication and engagement are critical to ensure 1) communities and stakeholders are able to come to informed decisions on hydrogen and 2) developers, operators and regulators are able to respond to societal concerns and adapt practices appropriately.Within the hydrogen value chain, geological storage may be an important step, but could present challenges in terms of perceived safety. Lessons can be learned from international research and practice of CO2 and natural gas storage in geological formations [for carbon capture and storage (CCS) and power respectively] which may be relevant to hydrogen storage in salt caverns or porous sandstones. We draw on these analogues to present potential societal risk perception issues which may arise for geological storage of hydrogen. We argue that site-specific communication and engagement strategies, underpinned by broad-based principles covering the entire span of the project and a clear rationale for how hydrogen benefits the climate and the most vulnerable members of society under an energy crisis, will be critical to fostering societal support for geological hydrogen storage.

Innovation needs in nuclear reactor safety and risk

After three quarters of a century using nuclear fission to produce energy, Nuclear Reactor Safety and Risk constitutes an established technological sector. A key feature is continuous updating following new discoveries and progress in knowledge, resulting in extensive and elaborate safety methodologies, which are still not internationally accepted, generally applicable or technically consistent. Each country developed its own methods, guides, traditions and requirements to deal with evolving design, safety, siting and licensing issues. There is a clear parallel in societal risk perception between nuclear radiation exposure in accidents and viral infection in pandemics and the fear of the “unknown”. Unfortunately, over the last 20–30 years the declining introduction of electricity by nuclear fission in the countries that contributed most to its earliest development also has broken the bond between new scientific advancements and improvements of existing safety methodologies. By looking at the origins and fundaments of nuclear technology, we consider the following topics of both deterministic and probabilistic interest: a) Loss of Coolant analysis; b) nuclear fuel accident performance weaknesses; c) role of containment and ultimate heat sinks; d) residual risk and emergency system deployment, and e) independent and risk informed decision making assessment. As a key outcome, we propose modifying the traditional licensing methodology, and the use of active and/or passive systems by being subsumed into a broader Engineered Safety Features Management process. Furthermore, we emphasize the need of connecting the As Low As Reasonably Achievable principle with the analyses to demonstrate the safety of nuclear installations minimizing the need for excessive “paper” safety analyses and licensing efforts.

The Influence of Communication on College Students' Self-Other Risk Perceptions of COVID-19: A Comparative Study of China and the United States.

This study aimed to explore cross-country differences in the characteristics and determinations of self–other risk perceptions of the COVID-19 pandemic. We distinguished perceived risk to self from perceived risk to others and subdivided risk perceptions into three levels: personal, group, and societal. We focused on the differential impact of multiple communication channels (i.e., interpersonal communication, traditional media exposure, and new media exposure) on risk perceptions at the three levels. A sample of 790 college students completed self-report online questionnaires from May to June 2020, including 498 in China and 292 in the United States. The results showed an “ascending pattern,” revealing that participants perceived higher levels of risk to others than to themselves. In addition, U.S. college students perceived higher risks of COVID-19 than Chinese college students at all levels. As for the relations between communication and risk perceptions, the results revealed that interpersonal communication and traditional media exposure were more effective with Chinese participants, whereas new media exposure was more effective with U.S. participants. Specifically, interpersonal communication was positively associated with risk perceptions at three levels, and the magnitude of the effect was higher in the Chinese group than in the U.S. group. Traditional media exposure increased societal risk perception only for Chinese college students, and new media exposure increased societal risk perception only for U.S. college students. Our findings provide theoretical implications for the characteristics and forming mechanisms of risk perceptions and also provide practical implications for policymakers in the two countries to implement effective measures to foster individuals’ risk perceptions in relation to preventive behaviors.

Breaking the Sound of Silence: Explication in the Use of Strategic Silence in Crisis Communication

Crises present organizations with the “rhetorical exigency” to enact control. Silence is not an option. This study, as the first empirical examination of Le et al’s (2019) seminal study on silence in crisis communication, examines, first, if silence can be strategically used as a bona fide strategy; second, under what circumstances should silence be broken; and third, when silence is broken, how it affects (a) organizational reputation, (b) societal risk perception, and (c) the publics’ crisis information sharing intention. An online experiment was conducted using a nationally representative sample in the United States. Participants were recruited in 2019 via a Qualtrics panel. The stimuli used in this study consisted of two components: (1) an explanation about a fictitious company; and (2) two types of silence breaking (forced vs. planned) embedded in each stimulus accordingly after the same crisis incident. Four hypothesis were conceptualized. They were all supported. Collectively, they showed that the effect of silence-breaking type on crisis information sharing intention was mediated by societal risk perception, which is conditioned by participants’ level of perceived organizational reputation. Silence, or failure to fill the information vacuum, has not been an option to consider thus far as it suggests the organization is “not in control.” However, this study suggests the types of silence organizations can adopt and the modes the organizational silence can be broken. It provides a new lens for organizations to engage in business communication.

Risk perception and COVID-19 preventive behaviors: application of the integrative model of behavioral prediction

ABSTRACT Preventing the COVID-19 outbreak primarily depends on individuals’ willingness to adopt social distancing and mask wearing behaviors. However, little is known about what drives individuals to adopt these behaviors. Guided by the Integrative Model of Behavioral Prediction, this study surveyed 590 adults in the US during the early stages of the outbreak to identify factors influencing intentions to practice social distancing and wear masks. Structural equation modeling results show that while attitudes are positively associated with intentions to perform both behaviors, perceived norms are positively associated with intentions to wear masks, and self-efficacy is positively associated with intentions to practice social distancing. Additionally, results indicate that adding personal risk perception and societal risk perception as distal variables increases the model’s predictive power. Results reveal that while social risk perception is positively associated with attitudes, perceived norms, and self-efficacy for both behaviors, personal risk perception is negatively associated with attitudes toward mask wearing, and perceived norms and self-efficacy for both behaviors. Theoretical and practical implications are discussed.

From Risk Butterflies to Citizens Engaged in Risk Prevention in the Zika Virus Crisis: Focusing on Personal, Societal and Global Risk Perceptions

This study investigates how posting information about the Zika virus on social media, and receiving information about Zika through the same platforms, are associated with personal, societal and global risk perceptions, and whether different types of risk perceptions are related to information seeking and preventive behavior intentions. A survey of U.S. participants (N = 958) revealed that posting information on social media is positively associated with personal and societal risk perceptions but not with global risk perceptions. Receiving information through social media, however, is positively associated with personal, societal and global risk perceptions. Personal and societal risk perceptions are associated with high information seeking intentions, which in turn leads to preventive behavioral intentions. The results suggest that so-called risk butterflies—those who frequently post information on social media—relate the health crisis to themselves and to their communities, and that these are important motivations for information-seeking and risk preventive behavior.

Integrating Key Insights of Sociological Risk Theory into the Ecosystem Services Framework

Environmental risks give urgency to the need to understand the society–nature relationship. While the ecosystem services (ES) framework allows analysis of interrelationships between biophysical supply and human demand for natural resources, further research is needed to understand what drives societal demand for ES. Here, I explore how incorporation of the key sociological theories of risk (systems theory, ‘world risk society’, and cultural theory of risk) can advance this understanding. By examining these theories, the following key insights were identified: (1) A deeper understanding of societal structures and risk perception helps to understand culturally driven patterns of ES demand; (2) sociological ES research must use inter- and transdisciplinary methods to understand the drivers of ES demand and risk perception. It must also link this understanding to the natural sciences’ knowledge of the drivers of ES supply if it is to identify new instruments of environmental governance; (3) while anthropocentric in character, the ES framework, especially one that is modified by the concept of risk, enables society to reflect on its role as a proactive part of a social–ecological system, rather than a passive victim of nature’s whims. This change in perspective may prove to be a key step in achieving sustainable development.

Influenced by Anonymous Others: Effects of Online Comments on Risk Perception and Intention to Communicate

ABSTRACT Guided by the health risk communication literature and the social identity model of deindividualization effects, this study examines whether and how concurrent exposure to health news articles and congruent/incongruent comments posted by anonymous others may affect news viewers’ personal risk perception, societal risk perception, and intention to communicate about health risk issues. Two controlled experiments were conducted in Vietnam concerning two controversial health risk issues, including ear picking and child corporal punishment. Results showed a significant interaction effect between comments and perceived similarity on personal risk perception and societal risk perception, such that comments influenced both types of risk perception when viewers perceived that anonymous commenters were ingroup members. Results also indicated the joint effect of comments and perceived similarity on participants’ intention to communicate, mediated by their personal risk perception and societal risk perception. Theoretical and practical implications were discussed.

A Causality Analysis of Societal Risk Perception and Stock Market Volatility in China

Modern China is undergoing a variety of social conflicts as the arrival of new era with the transformation of the principal contradiction. Then monitoring the society stable is a huge workload. Online societal risk perception is acquired by mapping on-line public concerns respectively into societal risk events including national security, economy & finance, public morals, daily life, social stability, government management, and resources & environment, and then provides one kind of measurement toward the society state. Obviously, stable and harmonious social situations are the basic guarantee for the healthy development of the stock market. Thus we concern whether the variations of the societal risk are related to stock market volatility. We study their relationships by two steps, first the relationships between search trends and societal risk perception; next the relationships between societal risk perception and stock volatility. The weekend and holiday effects in China stock market are taken into consideration. Three different econometric methods are explored to observe the impacts of variations of societal risk on Shanghai Composite Index and Shenzhen Composite Index. 3 major findings are addressed. Firstly, there exist causal relations between Baidu Index and societal risk perception. Secondly, the perception of finance & economy, social stability, and government management has distinguishing effects on the volatility of both Shanghai Composite Index and Shenzhen Composite Index. Thirdly, the weekend and holiday effects of societal risk perception on the stock market are verified. The research demonstrates that capturing societal risk based on on-line public concerns is feasible and meaningful.

Raising awareness of climate change causes? Cross-national evidence for the normalization of societal risk perception of climate change

Increasing the awareness of climate change causes is often considered the key to public support of mitigation and adaptation policies. However, higher awareness might not always relate to higher risk perceptions. Previous research suggests that a process of risk normalization might occur, wherein individuals more exposed and aware of hazards minimize their risk perception to psychologically cope with hazards. This study elaborates on and expands this research, by conducting multilevel analyses on more recent data from the International Social Survey Programme from 33 countries (N=46,221). Results show that in countries with higher carbon dioxide emissions, where people are more exposed to the activities and technologies related to climate change, individuals tend to have lower societal risk perceptions of climate change due to their higher awareness of climate change causes. New insight is provided, as results confirm this effect of risk normalization after controlling for the country socioeconomic context and individual-level covariates (gender, age, education, political orientation, place of living). Of most relevance, results further illustrate that this effect is moderated by the environmental concern of individuals.

Ensemble of multiple kNN classifiers for societal risk classification

Societal risk classification is a fundamental and complex issue for societal risk perception. To conduct societal risk classification, Tianya Forum posts are selected as the data source, and four kinds of representations: string representation, term-frequency representation, TF-IDF representation and the distributed representation of BBS posts are applied. Using edit distance or cosine similarity as distance metric, four k-Nearest Neighbor (kNN) classifiers based on different representations are developed and compared. Owing to the priority of word order and semantic extraction of the neural network model Paragraph Vector, kNN based on the distributed representation generated by Paragraph Vector (kNN-PV) shows effectiveness for societal risk classification. Furthermore, to improve the performance of societal risk classification, through different weights, kNN-PV is combined with other three kNN classifiers as an ensemble model. Through brute force grid search method, the optimal weights are assigned to different kNN classifiers. Compared with kNN-PV, the experimental results reveal that Macro-F of the ensemble method is significantly improved for societal risk classification.