Matthew W. Savage, Sarah E. Jones, Jenna E. Reno, and Shari Veil
University students, faculty, and staff are among those most vulnerable to cybersecurity risks due to their reliance on modern technologies, the nature of their online activities, and the open infrastructure of institutional networks. Furthermore, cyberbullying has emerged as a public health concern by the Centers for Disease Control and Prevention (CDC), which first warned of electronic aggression in 2008, or any type of harassment or bullying that occurs via email, chat, instant messaging, websites, blogs, or text messaging. Roberto and Eden emphasized the communicative nature of cyberbullying, defining it as the “deliberate and repeated misuse of communication technology by an individual or group to threaten or harm others” in 2010 (p. 201). In response to serious cybersecurity concerns and growing evidence of cyberbullying behavior, the national Stop.Think.Connect. (STC) campaign was developed to educate Americans on cybersecurity risks and equip citizens with tools for safe, respectful, and appropriate online behavior; however, it lacks targeted messaging for those on university campuses. Formative research is needed to ascertain the specific cybersecurity risks and challenges identified by those living and working on large university campuses. Research by Noar in 2006 demonstrates that formative evaluation leads to more successful campaigns. The process involves learning about target populations, discovering communicative determinants of behavior change, and testing message concepts. To that end, this case study is a first step in targeting STC campaign messages to university students, faculty, and staff. Specifically, we sought to identify the distinct cybersecurity needs faced by university students and personnel, their perceptions of the saliency of the problem, and potential motives for increasing their cybersecurity-enhancing behaviors. These activities are needed to implement the campaign on college campuses and to increase the likelihood of any future outcome evaluation efforts that yield evidence of campaign effectiveness. Currently, we are unaware of any outcome evaluation.
Focus group methodology was conducted to examine the target audiences’ knowledge, interests, needs, and attitudes regarding the management of cybersecurity threats. Additionally, practical recommendations for enhancing STC campaign implementation on university campuses were ascertained. Results emphasized key ways to improve the theoretical underpinnings of the campaign using the Integrated Behavioral Model (IBM). We identified how determinants of behavior change can be utilized to strengthen campaign messaging. Students displayed laissez-faire attitudes toward cybersecurity, while faculty and staff attitudes demonstrated a much higher level of concern. Social norms for personal cybersecurity action taking were notably low among students as well as faculty and staff. Students displayed limited personal agency in regards to enacting cybersecurity measures, while faculty and staff had greater knowledge of steps they could take, but little faith that these actions would be efficacious. Finally, thematic recommendations for implementing an effective cybersecurity campaign on a university campus were identified.
Kathryn Greene, Smita C. Banerjee, Anne E. Ray, and Michael L. Hecht
Results of national epidemiologic surveys indicate that substance use rates among adolescents remain relatively steady or even show slight declines; however, some substance use rates, such as electronic cigarettes, are actually rising. Thus, the need for efficacious drug prevention efforts in the United States remains high. Active Involvement (AI) interventions are a promising avenue for preventing and reducing adolescent substance use, and they create opportunities for adolescents to experience a core feature of engagement that is common to these interventions, such as producing videos, posters, or radio ads; or generating themes and images for messages such as posters.
Existing interventions grounded in theories of Active Involvement include programs delivered face-to-face and via e-learning platforms. Narrative Engagement Theory and the Theory of Active Involvement guide the components of change in AI interventions. Youth develop message content during participation in Active Involvement interventions. Advanced analytic models can be applied to address new research questions related to the measure of components of AI interventions.
Michael Mackert and Marie Guadagno
Advertising as a field and industry often has a contentious relationship with both health communication and public health due to legitimate concerns about how advertising for certain products, such as alcohol and tobacco, could contribute to less-healthy decisions and behaviors. While acknowledging such concerns, advertisers and their approach to solving communication problems could also provide valuable lessons to those working in health communication. Indeed, advertising agencies are designed to develop creative and effective messages that change consumer behavior—and health communication practitioners and scholars aim to change population-level behavior as well. The perspective and approach of the account planner in the advertising agency—a role whose chief responsibility is to bring the consumer perspective into every step of the advertising development process and inspire effective and creative campaigns—would be particularly valuable to those working in health communication. It was account planning work that shifted traditional milk advertising from promoting it as a healthy drink to the iconic “got milk?” campaign, which positioned milk as a complement that makes other food better—an approach that drove positive sales after years of declining milk consumption. Yet many who work in health communication and public health often know little of how advertising agencies work or their internal processes that might be productively adopted. This lack of understanding can also lead to misperceptions of advertisers’ work and intentions. As an example, one might assume dense medical language in prescription drug advertising is intended to add unnecessary complexity to the advertisements and obscure side effects; instead, advertising professionals who work on prescription drug advertising have often been trained on clear communication—but cannot fully utilize that training because of regulations that require medically accurate terminology that might not be comprehensible to most viewers. Improved understanding of how advertisers can act as agents of change, and increased dialogue between the fields of advertising and health communication, could contribute to improved health communication research, practice, and policy.
Bradford William Hesse
The presence of large-scale data systems can be felt, consciously or not, in almost every facet of modern life, whether through the simple act of selecting travel options online, purchasing products from online retailers, or navigating through the streets of an unfamiliar neighborhood using global positioning system (GPS) mapping. These systems operate through the momentum of big data, a term introduced by data scientists to describe a data-rich environment enabled by a superconvergence of advanced computer-processing speeds and storage capacities; advanced connectivity between people and devices through the Internet; the ubiquity of smart, mobile devices and wireless sensors; and the creation of accelerated data flows among systems in the global economy. Some researchers have suggested that big data represents the so-called fourth paradigm in science, wherein the first paradigm was marked by the evolution of the experimental method, the second was brought about by the maturation of theory, the third was marked by an evolution of statistical methodology as enabled by computational technology, while the fourth extended the benefits of the first three, but also enabled the application of novel machine-learning approaches to an evidence stream that exists in high volume, high velocity, high variety, and differing levels of veracity.
In public health and medicine, the emergence of big data capabilities has followed naturally from the expansion of data streams from genome sequencing, protein identification, environmental surveillance, and passive patient sensing. In 2001, the National Committee on Vital and Health Statistics published a road map for connecting these evidence streams to each other through a national health information infrastructure. Since then, the road map has spurred national investments in electronic health records (EHRs) and motivated the integration of public surveillance data into analytic platforms for health situational awareness. More recently, the boom in consumer-oriented mobile applications and wireless medical sensing devices has opened up the possibility for mining new data flows directly from altruistic patients. In the broader public communication sphere, the ability to mine the digital traces of conversation on social media presents an opportunity to apply advanced machine learning algorithms as a way of tracking the diffusion of risk communication messages. In addition to utilizing big data for improving the scientific knowledge base in risk communication, there will be a need for health communication scientists and practitioners to work as part of interdisciplinary teams to improve the interfaces to these data for professionals and the public. Too much data, presented in disorganized ways, can lead to what some have referred to as “data smog.” Much work will be needed for understanding how to turn big data into knowledge, and just as important, how to turn data-informed knowledge into action.
Janice L. Krieger and Jordan M. Neil
Strategic communication is an essential component in the science and practice of recruiting participants to clinical research studies. Unfortunately, many clinical research studies do not consider the role of communication in the recruitment process until efforts to enroll patients in a timely manner have failed. The field of communication is rich with theory and research that can inform the development of an effective recruitment plan from the inception of a clinical research study through informed consent. The recruitment context is distinct from many other health contexts in that there is often not a behavioral response that can be universally promoted to patients. The appropriateness of a clinical research study for an individual is based on a number of medical, psychological, and contextual factors, making it impossible to recommend that everyone who is eligible for a clinical research study enroll. Instead, clinical research study recruitment efforts must utilize strategic communication principles to ensure that messages promote awareness of clinical research, maximize personal relevance, minimize information overload, and facilitate informed choice. This can be accomplished through careful consideration of various aspects of the communication context described in this chapter, including audience segmentation, message content, message channels, and formative, process, and outcome evaluation, as well as the enrollment encounter.
A community of practice (CoP) situated in a health and risk context is an approach to collaboration among members that promotes learning and development. In a CoP, individuals come together virtually or physically and coalesce around a common purpose. CoPs are defined by knowledge, rather than task, and encourage novices and experienced practitioners to work together to co-create and embed sustainable outputs that impact on theory and practice development. As a result, CoPs provide an innovative approach to incorporating evidence-based research associated with health and risk into systems and organizations aligned with public well-being.
CoPs provide a framework for constructing authentic and collaborative learning. Jeanne Lave and Etienne Wenger are credited with the original description of a CoP as an approach to learning that encompasses elements of identity, situation, and active participation. CoPs blend a constructivist view of learning, where meaningful experience is set in the context of “self” and the relationship of “self” with the wider professional community. The result is an integrated approach to learning and development achieved through a combination of social engagement and collaborative working in an authentic practice environment. CoPs therefore provide a strategic approach to acknowledging cultural differences related to translating health and risk theory into practice.
In health and risk settings, CoPs situate and blend theory and practice to create a portal for practitioners to generate, shape, test, and evaluate new ideas and innovations. Membership of a CoP supports the development of professional identity within a wider professional sphere and may support community members to attain long range goals.
Mohan Jyoti Dutta, Satveer Kaur-Gill, and Naomi Tan
Cultivation theory examines the effects of the media, mainly television on viewer perception over an extended period of time. Television is seen by people throughout the globe, with many spending considerable amounts of time watching the medium. The act of watching television has been described as the first leisure activity to cut across social and ethnic divisions in society. This made it a unique mass media tool because mass message dissemination to diverse groups in a population was made possible. Cultivation scholars have studied the effects of the medium, trying to understand how television content can alter one’s social reality. Heavy viewers are considered to be most susceptible to the effects of cultivation. The reality of these effects poses important questions for health communication scholars considering the role television plays in disseminating health messages. Health communication scholars became interested in studying cultivation to understand the health-related effects the medium could have on viewers. Understanding the health effects of television is pivotal, considering that television and the structures that constitute television content set the agendas for many health topics, often disseminating negative and positive messages that can impact society, especially the young and impressionable. With television content addressing health issues such as nutrition, diet, body image, tobacco, cancer, drugs, obesity, and women’s health, cultivation theory can offer health communication scholars a framework to understand how health behaviors are shaped by the mass media and the roles these media play in reinforcing unhealthy behaviors. By establishing a basis for studying how such portrayals have direct health-related effects on viewers, cultivation theory creates openings for questioning the structures of the media that put out unhealthy content and for interrogating the roles and responsibilities of media agenda in inculcating positive health messages. Directions for future research include looking at contextually contrasting populations that share different cultural and community values, and different ways of consuming television. Research questions exploring the roles of community structures with different sets of subjective norms, or with different roles of community norms, in the realm of cultivation effects offer new areas for exploration.
Hearing loss is common, with approximately 17% of the population reporting some degree of a hearing deficit. Hearing loss has profound impacts on health literacy, health information accessibility, and learning. Much of existing health information is inaccessible. This is largely due to the lack of focus on tailoring the messages to the needs of deaf and hard of hearing (DHH) individuals with hearing loss. DHH individuals struggle with a variety of health knowledge gaps and health disparities. This demonstrates the importance of providing tailored and accessible health information for this population. While hearing loss is heterogeneous, there are still overlapping principles that can benefit everyone. Through adaptation, DHH individuals become visual learners, thus increasing the demand for appropriate visual medical aids. The development of health information and materials suitable for visual learners will likely impact not only DHH individuals, but will also be applicable for the general population. The principles of social justice and universal design behoove health message designers to ensure that their health information is not only accessible, but also equitable. Wise application of technology, health literacy, and information learning principles, along with creative use of social media, peer exchanges, and community health workers, can help mitigate much of the health information gaps that exist among DHH individuals.
Sun Joo (Grace) Ahn and Jesse Fox
Immersive virtual environments (IVEs) are systems comprised of digital devices that simulate multiple layers of sensory information so that users experience sight, sound, and even touch like they do in the physical world. Users are typically represented in these environments in the form of virtual humans and may interact with other virtual representations such as health-care providers, coaches, future selves, or treatment stimuli (e.g., phobia triggers, such as crowds of people or spiders). These virtual representations can be controlled by humans (avatars) or computers algorithms (agents). Embodying avatars and interacting with agents, patients can experience sensory-rich simulations in the virtual world that may be difficult or even impossible to experience in the physical world but are sufficiently real to influence health attitudes and behaviors. Avatars and agents are infinitely customizable to tailor virtual experiences at the individual level, and IVEs are able to transcend the spatial and temporal boundaries of the physical world. Although still preliminary, a growing number of studies demonstrate IVEs’ potential as a health promotion and therapy tool, complementing and enhancing current treatment regimens. Attempts to incorporate IVEs into treatments and intervention programs have been made in a number of areas, including physical activity, nutrition, rehabilitation, exposure therapy, and autism spectrum disorders. Although further development and research is necessary, the increasing availability of consumer-grade IVE systems may allow clinicians and patients to consider IVE treatment as a routine part of their regimen in the near future.
Jonathan van 't Riet, Jorinde Spook, Paul E. Ketelaar, and Arief Hühn
Many of us use smartphones, and many smartphones are equipped with the Global Positioning System (GPS). This enables health promoters to send us messages on specific locations where healthy behavior is possible or where we are at risk of unhealthy behavior. Until now, the practice of sending location-based messages has been mostly restricted to commercial advertisements, most often in retail settings. However, opportunities for health promotion practice are vast. For one, location-based messages can be used to complement environmental interventions, where the environment is changed to promote health behavior. Second, location-based messages incorporate opportunities to tailor these messages to individual characteristics of the recipient, increasing perceived relevance. Finally, location-based messages offer the distinct possibility to communicate context-dependent social norm information. Five preliminary studies tested the effects of location-based messages targeting food choice. The results suggest that sending location-based messages is feasible and can be effective. Future studies should explore which messages are most effective under which circumstances.
Yvonnes Chen and Joseph Erba
Media literacy describes the ability to access, analyze, evaluate, and produce media messages. As media messages can influence audiences’ attitudes and behaviors toward various topics, such as attitudes toward others and risky behaviors, media literacy can counter potential negative media effects, a crucial task in today’s oversaturated media environment. Media literacy in the context of health promotion is addressed by analyzing the characteristics of 54 media literacy programs conducted in the United States and abroad that have successfully influenced audiences’ attitudes and behaviors toward six health topics: prevention of alcohol use, prevention of tobacco use, eating disorders and body image, sex education, nutrition education, and violent behavior. Because media literacy can change how audiences perceive the media industry and critique media messages, it could also reduce the potential harmful effects media can have on audiences’ health decision-making process.
The majority of the interventions have focused on youth, likely because children’s and adolescents’ lack of cognitive sophistication may make them more vulnerable to potentially harmful media effects. The design of these health-related media literacy programs varied. Many studies’ interventions consisted of a one-course lesson, while others were multi-month, multi-lesson interventions. The majority of these programs’ content was developed and administered by a team of researchers affiliated with local universities and schools, and was focused on three main areas: reduction of media consumption, media analysis and evaluations, and media production and activism. Media literacy study designs almost always included a control group that did not take part in the intervention to confirm that potential changes in health and risk attitudes and behaviors among participants could be attributed to the intervention. Most programs were also designed to include at least one pre-intervention test and one post-intervention test, with the latter usually administered immediately following the intervention. Demographic variables, such as gender, age or grade level, and prior behavior pertaining to the health topic under study, were found to affect participants’ responses to media literacy interventions.
In these 54 studies, a number of key media literacy components were clearly absent from the field. First, adults—especially those from historically underserved communities—were noticeably missing from these interventions. Second, media literacy interventions were often designed with a top-down approach, with little to no involvement from or collaboration with members of the target population. Third, the creation of counter media messages tailored to individuals’ needs and circumstances was rarely the focus of these interventions. Finally, these studies paid little attention to evaluating the development, process, and outcomes of media literacy interventions with participants’ sociodemographic characteristics in mind. Based on these findings, it is recommended that health-related media literacy programs fully engage community members at all steps, including in the critical analysis of current media messages and the production and dissemination of counter media messages. Health-related media literacy programs should also impart participants and community members with tools to advocate for their own causes and health behaviors.
Mia Liza A. Lustria
In today’s saturated media environment, it is incumbent for designers of health education materials to find more effective and efficient ways of capturing the attention of the public, particularly when the intent is to influence individual behavior change. Tailoring is a message design strategy that has been shown to amplify the effectiveness of health messages at an individual level. It is a data-driven and theory-informed strategy for crafting a message using knowledge of various factors that might influence the individual’s responsiveness to the message, such as their information needs, beliefs, motivations, and health behaviors. It also enhances the persuasiveness of a message by increasing its perceived relevance, drawing attention to the message, and encouraging deeper elaboration of the information. Tailoring content based on known antecedents of the intended behavioral outcomes has been shown to enhance tailoring effectiveness. Compared to generic messages, tailored messages are perceived to be more personally relevant, command greater attention, are recalled more readily, and encourage more positive evaluations of the information overall. Various meta-analyses have demonstrated the effectiveness of tailored interventions promoting a number of health behaviors, such as smoking cessation, healthy diet and nutrition, physical activity, and regular recommended health screenings.
Advances in information and communication technologies have led to more sophisticated, multimodal tailored interventions with improved reach, and more powerful expert systems and data analysis models. Web technologies have made it possible to scale the production and delivery of tailored messages to multiple individuals at relatively low cost and to improve access to expert feedback, particularly among hard-to-reach population groups.
Jessica Fitts Willoughby
People who communicate health and risk information are often trying to determine new and innovative ways to reach members of their target audience. Because of the nearly ubiquitous use of mobile phones among individuals in the United States and the continued proliferation of such devices around the world, communicators have turned to mobile as a possible channel for disseminating health information. Mobile health, often referred to as mHealth, uses mobile and portable devices to communicate information about health and to monitor health issues. Cell phones are one primary form of mHealth, with the use of cell phone features such as text messaging and mobile applications (apps) often used as a way to provide health information and motivation to target audience members. Text messaging, or short message service (SMS), is a convenient form for conveying health information, as most cell phone owners regularly send and receive text messages. mHealth offers benefits over other channels for communicating health information, such as convenience, portability, interactivity, and the ability to personalize or tailor messages. Additionally, mHealth has been found to be effective at changing attitudes and behaviors related to health. Research has found mobile to be a tool useful for promoting healthy attitudes and behaviors related to a number of topic areas, from increased sexual health to decreased alcohol consumption. Literature from health communication and research into mHealth can provide guidance for health communicators looking to develop an effective mHealth intervention or program, but possible concerns related to the use of mobile need to be considered, such as concerns about data security and participant privacy.
Brenda L. Berkelaar and LaRae Tronstad
How people negotiate the work–life interface remains a popular topic for scholars and the public. Work–life research is a large body of interdisciplinary scholarship that considers how people experience, navigate, and negotiate different roles, commitments, and boundaries within and across life domains—often with the goal of improving individual, organizational, and social well-being and success. Spurred by demographic, social, economic, and technological changes, scholars take difference perspectives on overlapping research areas which include work–life balance, work–life conflict, work–family conflict, boundary management, work–life enrichment or facilitation, as well as positive or negative spillover. Key issues addressed include the implications of framing work–life as a dichotomy, drivers of work–life outcomes, how ideals shape work–life negotiations, how individuals negotiate everyday work–life challenges and opportunities, and the influence of evolving information and communication technologies on the work–life interface. Research from multiple disciplines highlights the demographic, economic, moral, cultural, and national factors that affect work–life practices, processes, policies, tactics, and outcomes. This multidisciplinary perspective provides relevant insights for generative research and resilient practice for individuals, groups, organizations, or societies.
Joyce Lamerichs and Wyke Stommel
There is a need to focus on research conducted on online talk about mental health in the domains of ethnomethodology, Conversation Analysis (CA), Discursive Psychology (DP), and Membership Categorization Analysis (MCA). We use the notion of “talk” in this article, as opposed to what could be considered a more common term such as “discourse,” to highlight that we approach computer-mediated discourse as inherently interactional. It is recipient designed and unfolds sequentially, responding to messages that have come before and building a context for messages that are constructed next. We will refer to the above domains that all share this view as CA(-related) approaches.
A characterizing feature of interactional approaches to online mental health talk is their focus on in-depth analyses of relatively small amounts of data. With this focus at the center of their attention, they sit in the wider field of Discourse Analysis (DA), or Computer-Mediated Discourse Analysis (CMDA) who use language as their lens to understand human interaction. DA and CMDA research include a much wider set of both micro- and macro-analytic language-focused approaches to capture online discourse. Of all the CA(-related) work on online materials, a disproportionally large number of studies appear to deal with (mental) health talk.
We aim to answer the question what the field of research on online mental health talk has yielded in terms of findings and methodologies. Centrally, CA (-related) studies of online mental health talk have aimed to grasp the actions people accomplish and the identities they invoke when they address their health concerns. Examples of actions in online mental health talk in particular are presenting oneself, describing a problem, or offering advice. Relevant questions for the above approaches that consider language-as-social-action are how these different actions are brought off and how they are received, by closely examining contributions such as e-mail and chat postings and their subsequent responses.
With a focus on talk about mental health, this article will cover studies of online support groups (OSGs, also called online communities), and interaction in online counseling programs, mainly via online chat sessions.
This article is organized as follows. In the historiography, we present an overview of CA(-related) work on online mental health talk. We discuss findings from studies of online support groups (OSGs) first and then move to results from studies on online counseling. The start of our historiography section, however, sets out to briefly highlight how the Internet may offer several particularly attractive features for those with mental health problems or a mental illness.
After the historiography, we discuss what an interactional approach of online mental health talk looks like and focuses on. We offer examples of empirical studies to illustrate how written contributions to a forum, and e-mails or chat posts that are part of online counseling sessions are examined as interaction and which types of findings this results in. We conclude with a review of methodological issues that pertain to the field, address the most important ethical considerations that come into play when examining online mental health talk, and will lastly highlight some areas for future research.
This article discusses the various ways in which political concerns among government officials, scientists, journalists, and the public influence the production, communication, and reception of scientific knowledge. In so doing, the article covers a wide variety of topics, mainly with a focus on the U.S. context. The article begins by defining key terms under discussion and explaining why science is so susceptible to political influence. The article then proceeds to discuss: the government’s current and historical role as a funder, manager, and consumer of scientific knowledge; how the personal interests and ideologies of scientists can influence their research; the susceptibility of scientific communication to politicization and the concomitant political impact on audiences; the role of the public’s political values, identities, and interests in their understanding of science; and, finally, the role of the public, mainly through interest groups and think tanks, in shaping the production and public discussion of scientific knowledge. While the article’s primary goal is to provide an empirical description of these influences, a secondary, normative, goal is to clarify when political values and interests are or are not appropriate influences on the creation and dissemination of scientific knowledge in a democratic context.
Celeste M. Condit and L. Bruce Railsback
Whether understood as a set of procedures, statements, or institutions, the scope and character of science has changed through time and area of investigation. The prominent current definition of science as systematic efforts to understand the world on the basis of empirical evidence entails several characteristics, each of which has been deeply investigated by multidisciplinary scholars in science studies. The aptness of these characteristics as defining elements of science has been examined both in terms of their sufficiency as normative ideals and with regard to their fit as empirical descriptors of the actual practices of science. These putative characteristics include a set of commitments to (1) the goal of developing maximally general, empirically based explanations certified through falsification procedures, predictive power, and/or fruitfulness and application, (2) meta-methodologies of hypothesis testing and quantification, and (3) relational norms including communalism, universalism, disinterestedness, organized skepticism, and originality. The scope of scientific practice has been most frequently identified with experimentation, observation, and modeling. However, data mining has recently been added to the scientific repertoire, and genres of communication and argumentation have always been an unrecognized but necessary component of scientific practices. The institutional home of science has also changed through time. The dominant model of the past three centuries has housed science predominantly in universities. However, science is arguably moving toward a “post-academic” era.
Expressions of scientific uncertainty are normal features of scientific articles and professional presentations. Journal articles typically include research questions at the beginning, probabilistic accounts of findings in the middle, and new research questions at the end. These uncertainty claims are used to construct clear boundaries between uncertain and certain scientific knowledge. Interesting questions emerge, however, when scientific uncertainty is communicated in occasions for public science (e.g., newspaper accounts of science, scientific expertise in political deliberations, science in stakeholder claims directed to the public, and so forth). Scientific uncertainty is especially important in the communication of environmental and health risks where public action is expected despite uncertain knowledge. Public science contexts are made more complex by the presence of multiple actors such as citizen-scientists, journalists, stakeholders, social movement actors, politicians, and so on who perform important functions in the communication and interpretation of scientific information and bring in diverse norms and values.
A past assumption among researchers was that scientists would deemphasize or ignore uncertainties in these situations to better match their claims with a public perception of science as an objective, truth-building institution. However, more recent research indicates variability in the likelihood that scientists communicate uncertainties and in the public reception and use of uncertainty claims. Many scientists still believe that scientific uncertainty will be misunderstood by the public and misused by interest groups involved with an issue, while others recognize a need to clearly translate what is known and not known.
Much social science analysis of scientific uncertainty in public science views it as a socially constructed phenomenon, where it depends less upon a particular state of scientific research (what scientists are certain and uncertain of) and more upon contextual factors, the actors involved, and the meanings attached to scientific claims. Scientific uncertainty is often emergent in public science, both in the sense that the boundary between what is certain and uncertain can be managed and manipulated by powerful actors and in the sense that as scientific knowledge confronts diverse public norms, values, local knowledges, and interests new areas of uncertainty emerge. Scientific uncertainty may emerge as a consequence of social conflict rather than being its cause. In public science scientific uncertainty can be interpreted as a normal state of affairs and, in the long run, may not be that detrimental to solving societal problems if it opens up new avenues and pathways for thinking about solutions. Of course, the presence of scientific uncertainty can also be used to legitimate inaction.
S. Anne Moorhead
Social media used for communication purposes within healthcare contexts is increasing and becoming more acceptable. The users of social media for healthcare communication include members of the general public, patients, health professionals, and health organizations. The uses of social media for healthcare communication are various and include providing health information on a range of conditions; providing answers to medical questions; facilitating dialogue between patients and between patients and health professionals; collecting data on patient experiences and opinions used for health intervention, health promotion, and health education; reducing stigma; and providing online consultations. With emerging advances over time, including new platforms and purposes, these uses will change and expand, increasing usability and thus providing more opportunities to use social media in connection to healthcare in the future. However, both patients and health professionals may require training to fully maximize the uses of using social media in healthcare.
Social media has numerous benefits for healthcare communication, including increased interactions with others; more available, shared, and tailored information; increased accessibility and widening access; and increased peer/social/emotional support. While there may be further benefits of using social media in healthcare, there are many limitations of social media for healthcare communication as well. The main reported limitations include a lack of reliability; quality concerns; and lack of confidentiality and privacy. From the available evidence, it is clear that maintaining patient privacy as well as the security and integrity of information shared are concerns when using social media.
As patients and members of the general public use social media widely, some may expect it in healthcare, thus it important for health professionals and organizations to manage expectations of social media in healthcare communication. This results in challenges ranging from encouraging staff to use social media to dealing with user problems and complaints. It is recommended that organizations embrace social media but have a specific purpose for each activity and platform while continually monitoring traffic. Regardless of the nature or size of the healthcare organization, it is time to adopt appropriate guidelines for the use of the social media in healthcare communication to address the challenges and the growing expectations of using social media, especially within healthcare contexts. The key message is that social media has the potential to supplement and complement but not replace other methods to improve communication and interaction among members of the general public, patients, health professionals, and healthcare organizations.
Kristin Page Hocevar, Miriam Metzger, and Andrew J. Flanagin
Our understanding and perceptions of source credibility significantly drive how we process health and risk messages, and may also influence relevant behaviors. Source credibility is believed to be impacted by both perceptions of source trustworthiness and expertise, and the effect of credibility on changes in attitudes and behavior has been studied for decades in the persuasion literature. However, how we understand and define source credibility—particularly the dimension of expertise—has changed dramatically as social media and other online platforms are increasingly used to design and disseminate health messages. While earlier definitions of source credibility relied heavily on the source’s credentials as indicators of expertise on a given topic, more recent conceptualizations must also account for expertise held by laypeople who have experience with a health concern. This shifting conceptualization of source credibility may then impact both why and when people select, as well as how they perceive, process, and judge, health messaging across both novel and more traditional communication contexts.