Hye-Jin Paek and Thomas Hove
Risk perception refers to people’s subjective judgments about the likelihood of negative occurrences such as injury, illness, disease, and death. Risk perception is important in health and risk communication because it determines which hazards people care about and how they deal with them. Risk perception has two main dimensions: the cognitive dimension, which relates to how much people know about and understand risks, and the emotional dimension, which relates to how they feel about them.
Several theoretical models have been developed to explain how people perceive risks, how they process risk information, and how they make decisions about them: the psychometric paradigm, the risk perception model, the mental noise model, the negative dominance model, the trust determination model, and the social amplification of risk framework. Laypeople have been found to evaluate risks mostly according to subjective perceptions, intuitive judgments, and inferences made from media coverage and limited information. Experts try to base their risk perceptions more on research findings and statistical evidence.
Risk perceptions are important precursors to health-related behaviors and other behaviors that experts recommend for either dealing with or preventing risks. Models of behavior change that incorporate the concept of risk perception include the Health Belief Model, Protection Motivation Theory, the Extended Parallel Process Model, and the Risk Perception Attitude framework.
Public awareness and perceptions of a risk can be influenced by how the media cover it. A variety of media factors have been found to affect the public’s risk perceptions, including the following: (1) amount of media coverage; (2) frames used for describing risks; (3) valence and tone of media coverage; (4) media sources and their perceived trustworthiness; (5) formats in which risks are presented; and (6) media channels and types. For all of these media factors, albeit to varying degrees, there is theoretical and empirical support for their relevance to risk perceptions.
Particularly related to media channels and genres, two hypotheses have emerged that specify different kinds of media influences. The impersonal impact hypothesis predicts that news media mainly influence how people see risks as affecting other individuals, groups, nations, or the world population in general (societal-level risk perceptions). By contrast, the differential impact hypothesis predicts that, while news media influence people’s societal-level risk perceptions, entertainment media have stronger effects on how people see risks as affecting themselves (personal-level risk perceptions).
As the media environment become increasingly diverse and fragmented, future research on risk perception needs to examine more of the influences that various media, including social media, have on risk perception. Also, the accounts of how those influences work need to be further refined. Finally, since people’s risk perceptions lead them to either adopt or reject recommended health behaviors, more research needs to examine how risk perceptions are jointly affected by media, audience characteristics, and risk characteristics.
Self-affirmation theory posits that people are motivated to maintain an adequate sense of self-integrity. It further posits that the self-system is highly flexible such that threats to one domain of the self can be better endured if the global sense of self-integrity is protected and reinforced by self-resources in other, unrelated domains. Health and risk communication messages are often threatening to the self because they convey information that highlights inadequacies in one’s health attitudes and behaviors. This tends to lead to defensive response, particularly among high-risk groups to whom the messages are typically targeted and most relevant. However, self-affirmation theory suggests that such defensive reactions can be effectively reduced if people are provided with opportunities to reinforce their sense of self-integrity in unrelated domains. This hypothesis has generated substantial research in the past two decades.
Empirical evidence so far has provided relatively consistent support for a positive effect of self-affirmation on message acceptance, intention, and behavior. These findings encourage careful consideration of the theoretical and practical implications of self-affirmation theory in the genesis and reduction of defensive response in health and risk communication. At the same time, important gaps and nuances in the literature should be noted, such as the boundary conditions of the effects of self-affirmation, the lack of clarity in the psychological mechanisms underlying the observed effects, and the fact that self-affirmation can be easily implemented in some health communication contexts, but not in others. Moreover, the research program may also benefit from greater attention to variables and questions of more direct interest to communication researchers, such as the role of varying message attributes and audience characteristics, the potential to integrate self-affirmation theory with health communication theories, and the spontaneous occurrence of positive self-affirmation in natural health communication settings.
Catherine Chaput and Joshua S. Hanan
Depending on how you approach it, economic justice is either an extremely old intellectual tradition or a relatively new one. From the first perspective, economic justice is part and parcel of classical political philosophy—Plato’s The Republic and Aristotle’s The Politics, for instance, both discuss property distribution in an ideal society, emphasizing the philosophy of justice over economic precepts. From the second perspective, the one we embrace, economic justice is a uniquely modern inquiry that emerged with the writings of Karl Marx and his revolutionary critique of the capitalist political economy. For Marx, economic justice can be understood as a critical enterprise that attempts to locate contradictions between universal and particular conceptions of human freedom and intervene politically into these contradictions with the aim of creating a more just, equitable, and egalitarian society. So conceived, economic justice liberates the collective potential of humanity from its exploitation and degradation by capitalism as well as the various legal institutions it develops to control human behavior for the purpose of extracting of surplus-value. It is this Marxist perspective and the various historical reformulations that it has authorized that influence the way rhetoricians and scholars of cultural studies conceptualize economic justice in the discipline of communication. While not all of these scholars endorse an explicitly Marxist line of thought, they all attempt to conceptualize economic justice as a normative political category that influences various models of rhetorical agency and social change.
Suellen Hopfer and Genesis Gutierrez
Fundamental structural features of risk maps influence how health risk and burden information is understood. The mapping of health data by medical geographers in the 1800s has evolved into the field of geovisualization and the use of online, geographic information system (GIS) interactive maps. Thematic (statistical) map types provide basic principles for mapping geographic health data. It is important to match the nature of statistical data with map type to minimize the potential for communicating misleading messages. Strategic use of structural map features can facilitate or hinder accurate comprehension of health risk messages in maps. A key challenge remains in designing maps to communicate a clear message given the complexity of modern health risk burdens. Various structural map features such as symbols, color, grouping of statistical data, scale, and legend must be considered for their impact on accurate comprehension and message clarity. Cognitive theory in relationship to map comprehension plays a role, as do insights from research on visualizing uncertainty, future trends in developing predictive mapping tools for public health planning, the use of geo-social and “big data,” as well as data ownership.