Risk, Stigma, Trustworthiness, and Citizen Participation-A Multifaceted Analysis of Media Coverage of Dioxin Contamination in Midland, Michigan.

In the United States, more than 200 communities are designated by the U.S. Environmental Protection Agency as areas of concern for dioxins. Informing the public about potential risks associated with dioxins and delivering information about how to avoid such risks are essential activities. News coverage of environmental and health problems affects how members of the public assess those problems in terms of both severity and how they are understood, as well as the extent of attention given to the problem by policy-makers. To contextualize public and institutional responses to dioxin contamination and remediation in a dioxin-affected community, we assessed 176 newspaper articles published over 30 years concerning dioxin contamination in Midland, Michigan, in terms of risk, trust in institutions, environmental stigma, and citizen participation. Articles about dioxin contamination and remediation in Midland appeared in both domestic and international newspapers. Domestically, both national and local newspapers covered this issue. The risks for human health and the environment caused by exposure to dioxins were widely covered, with much less media attention given to the trustworthiness of the organizations responsible for managing the risk, environmental stigma, and citizen participation. News coverage of these four themes also changed significantly overtime. Overall, our findings highlight the important role of local news media in communicating risk information, guiding safe behaviors, and facilitating community-level decision-making.

The Effect of Dioxin Contamination and Remediation on Property Values.

Loss of property value is a major concern in communities faced with the toxic byproducts of industrial practices. Even after site remediation, stigma may persist and negatively affect market values of residential properties. To study the effects of contamination and of remediation on property values in Midland, Michigan, where dioxins have been released into the environment through the incineration of contaminated waste and the discharge of contaminated water for many years, records of assessed value were obtained for 229 homes within the same neighborhood for the previous 18 years. A multilevel, longitudinal analysis was conducted to determine if there was a relationship between level of dioxin and assessed value after controlling for housing characteristics. Remediated and un-remediated properties saw increases in value at a similar rate over time. However, a property's level of dioxin was found to have a small, significant, and negative relationship with assessed value, and this negative effect was present regardless if a home had been remediated or not. These results suggest that while environmental remediation may be effective at removing the contamination, its economic effects may persist for a longer period of time.

Working with Institutional Stakeholders: Propositions for Alternative Approaches to Community Engagement.

Community engagement is a vital aspect of addressing environmental contamination and remediation. In the United States, the Superfund Research Program (SRP) forms groups of academic researchers from the social and physical sciences into Community Engagement Cores (CECs) and Research Translation Cores (RTCs), which focus on various aspects of informing and working with communities during and through the resolution of environmental crises. While this work typically involves engaging directly with members of affected communities, no two situations are the same. In some cases, alternative approaches to community engagement can be more appropriate for community improvement than traditional approaches. In particular, when research teams become involved in contamination crises at a late point in the process, their contributions can be better directed at supporting and reinforcing the work of institutional stakeholders charged with remediating pollution. Relevant factors include issue fatigue among a local population, and contamination that is due to a major employer. Supported by literature and experience, we offer several propositions that we believe lay out conditions that warrant such an approach by academic teams, rather than their direct engagement with unaffiliated individuals in communities.

Abstract or concrete? The effect of climate change images on people's estimation of egocentric psychological distance.

Climate change has been widely perceived as a psychologically distant risk, largely viewed as separated from one's direct experience. Using construal-level theory, we examined how the level of abstraction and concreteness of climate change imagery affects viewers' perceived psychological distance of climate change, including spatial, temporal, social, and hypothetical (level of uncertainty) distances. Participants (n = 402) were randomly assigned to one of two experimental conditions, one with abstract images and one with concrete images. Results show that the abstract and concrete images successfully activated people's abstract and concrete mind-sets, respectively, and people who viewed abstract images were more likely to perceive climate change as a spatially and temporally distant issue.

Developing a Broadly Applicable Measure of Risk Perception.

Decades of research identify risk perception as a largely intuitive and affective construct, in contrast to the more deliberative assessments of probability and consequences that form the foundation of risk assessment. However, a review of the literature reveals that many of the risk perception measures employed in survey research with human subjects are either generic in nature, not capturing any particular affective, probabilistic, or consequential dimension of risk; or focused solely on judgments of probability. The goal of this research was to assess a multidimensional measure of risk perception across multiple hazards to identify a measure that will be broadly useful for assessing perceived risk moving forward. Our results support the idea of risk perception being multidimensional, but largely a function of individual affective reactions to the hazard. We also find that our measure of risk perception holds across multiple types of hazards, ranging from those that are behavioral in nature (e.g., health and safety behaviors), to those that are technological (e.g., pollution), or natural (e.g., extreme weather). We suggest that a general, unidimensional measure of risk may accurately capture one's perception of the severity of the consequences, and the discrete emotions that are felt in response to those potential consequences. However, such a measure is not likely to capture the perceived probability of experiencing the outcomes, nor will it be as useful at understanding one's motivation to take mitigation action.

Comparing public concern and support for drone regulation to the current legal framework.

In this study we assess the extent to which the regulations governing the use of drones in the United States address the concerns held by the public they are meant to protect. In general, respondents were most supportive of those regulations that could be categorized as limiting one's exposure to an unwanted drone. The most popular policies were those that protected personal privacy, while the least popular were those that hampered drones used for public safety. The largest discrepancy was found to be respondents' preference for laws protecting personal privacy compared with the lack of regulatory constraints currently in place. Federal regulators have only begun to introduce regulations on how drones can be used in our national airspace, with additional regulations for other types and sizes of drones likely to be introduced in the future. The results of this study may be utilized by regulators and lawmakers to create a regulatory structure that effectively mitigates risk and supports the public interest.

Seasonal Shifts in Primary Water Source Type: A Comparison of Largely Pastoral Communities in Uganda and Tanzania.

Many water-related illnesses show an increase during the wet season. This is often due to fecal contamination from runoff, yet, it is unknown whether seasonal changes in water availability may also play a role in increased illness via changes in the type of primary water source used by households. Very little is known about the dynamic aspects of access to water and changes in source type across seasons, particularly in semi-arid regions with annual water scarcity. The research questions in this study were: (1) To what degree do households in Uganda (UG) and Tanzania (TZ) change primary water source type between wet and dry seasons?; and (2) How might seasonal changes relate to water quality and health? Using spatial survey data from 92 households each in UG and TZ this study found that, from wet to dry season, 26% (UG) and 9% (TZ) of households switched from a source with higher risk of contamination to a source with lower risk. By comparison, only 20% (UG) and 0% (TZ) of households switched from a source with lower risk of contamination to a source with higher risk of contamination. This research suggests that one pathway through which water-related disease prevalence may differ across seasons is the use of water sources with higher risk contamination, and that households with access to sources with lower risks of contamination sometimes choose to use more contaminated sources.

Using remote, spatial techniques to select a random household sample in a dispersed, semi-nomadic pastoral community: utility for a longitudinal health and demographic surveillance system.

BACKGROUND: Obtaining a random household sample can be expensive and challenging. In a dispersed community of semi-nomadic households in rural Tanzania, this study aimed to test an alternative method utilizing freely available aerial imagery. METHODS: We pinned every single-standing structure or boma (compound) in Naitolia, Tanzania using a 'placemark' in Google Earth Pro (version 7.1.2.2041). Next, a local expert assisted in removing misclassified placemarks. A random sample was then selected using a random number generator. The random sample points were mapped and used by survey enumerators to navigate. RESULTS: We created a spatial sample frame and a random sample in 34.5 student working hours, 3 local expert hours and 1.5 academic working hours. Challenges included determining whether homes were occupied or abandoned, developing a protocol for placemark inclusion and quality issues with the aerial imagery itself. In the field, 175 sample points were visited and 170 of these (97%) were actual households. The primary advantages of this method were the: (a) ability to generate a robust random sample in a rural and remote area; (b) lack of reliance on existing, external population data sources; and (c) relatively low levels of funding and time required. CONCLUSIONS: This method to develop a spatial sample frame was efficient and cost-effective when compared to in-field generation of a household inventory or GPS tracking of households. Utilizing a local expert to review the sample frame prior to field testing greatly increased accuracy. Overall, this method is a promising alternative to expensive and possibly biased household inventories or in-field GPS data collection for all households.