Henry A. Giroux
Education in society occurs across both formal and informal spheres of communication exchange. It extends from schools to diverse cultural apparatuses such as the mainstream media, alternative screen cultures, the Internet, and other spaces actively involved in the construction of knowledge, values, modes of identification, and agency itself. The modern era is shaped by a public pedagogy rooted in neoliberal capitalism that embraces consumer culture as the primary mechanism through which to express personal agency and identity. Produced and circulated through a depoliticizing machinery of fear and consumption, the cultural focus on the pursuit of individual desires rather than public responsibilities has led to a loss of public memory, democratic dissent, and political identity. As the public sphere collapses into the realm of the private, the bonds of mutual dependence have been shredded along with the public spheres that make such bonds possible. Freedom is reduced to a private matter divorced from the obligations of social life and politics only lives in the immediate. The personal has become the only sphere of politics that remains.
The rise of the selfie as a mode of public discourse and self-display demands critical scrutiny in terms of how it is symptomatic of the widespread shift toward market-driven values and a surveillance culture, increasingly facilitated by ubiquitous, commercial forms of digital technology and social media. Far from harmless, the unexamined “selfie” can be viewed as an example of how predatory technology-based capitalism socializes people in a way that encourages not only narcissism and anti-social indifference, but active participation in a larger authoritarian culture defined by a rejection of social bonds and cruelty toward others. As with other forms of cultural and self-expression, the selfie—when placed in alternative, collective frameworks—can also become a tool for engaging in struggles over meaning. Possibilities for social change that effectively challenges growing inequality, atomization, and injustice under neoliberalism can only emerge from the creation of new, broad-ranging sites of pedagogy capable of building new political communities and drawing attention to anti-democratic structures throughout the broader society.
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.
As the use of online technologies has grown in recent years, so has the study of computer-mediated communication.
Online communication began in universities through the use of e-mail. Soon, spaces such as multi-user dungeons (MUDs), Listserv, and bulletin boards were developed, which not only allowed people who knew each other offline to interact but also enabled individuals who were not previously acquainted to communicate via the Internet. The development of Web 2.0, which allowed for more user-generated content, led to new and innovative ways of interacting online, most notably thorough social media sites. Social media sites, such as Facebook and Twitter, allow not only for text-based interaction to occur but also for image- and video-based interaction.
Through all these developments, interactional norms and practices have developed. A key factor in these norms is what the medium enables, or affords, participants to do. Features such as whether an interactional platform is synchronous or asynchronous can impact the nature of the interaction. Similarly, the lack of visual or verbal contact when interacting may impact upon the interaction, through the potential for misunderstandings. Participants do, though, develop practices to suit the medium. If we examine these practices in detail, it is possible to also analyze the role which technology plays in the interaction. One method that has been used to do this is conversation analysis, which was developed for and using spoken interaction. Conversation analysis examines conversation in forensic detail to illuminate the norms and practices through which we conduct our everyday lives. In using this method for analyzing online interaction, we can not only understand the practices but also examine the affordances of particular interactional platforms.
Various interactional features of computer-mediated communication (CMC) have been examined from a conversation analytic perspective, including sequential organization, openings, turn-taking, and repair. A common focus of these studies it to explore the interactional patterns but also to understand how these might be impacted by the technology itself. The development of norms for a variety of forms of technologized interaction demonstrates how individuals are capable of adapting their interactional practices for new contexts.
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.
Anthony M. Limperos
Video games are a very popular form of entertainment media and have been the subject of much debate since their meteoric rise to popularity in the 1980s. Similar to the criticisms leveraged against other forms of media, video games have often been scrutinized for their potential to negatively influence those who play them. However, since the beginning of the 21st century, many new genres of video games have emerged and as a result, both public dialogue and research attention have shifted more toward understanding how certain games can be used for prosocial purposes. Exercise-based and active video games (AVGs) are a type of game which requires players to get up and move instead of simply sitting in front of the TV and pushing buttons. These types of games have received a lot of popular press and scholarly attention due to the fact that they encourage movement and may be used as a health intervention tool, especially to combat problems like obesity and overweight. Even though there has been significant research attention focused on the potential health benefits of playing these types of games, there is still much work to be done. While researchers have advanced a general understanding of why certain AVGs are effective or ineffective, there needs to be a greater emphasis on understanding the process by which these games can be motivating and influential. Shedding light on what makes AVGs potentially effective health management and intervention tools will not only be important for motivating people to become more active, but may also help inform research which focuses on how video games may be used in the health domain more generally.
This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Communication. Please check back later for the full article.
Video-mediated communication (VMC) has a long history. Fictional depictions of variously named VMC systems began appearing in late 19th century illustrations and novels as plausible extensions of telegraphy, telephony, and filmic and televisual moving pictures. AT&T demonstrated experimental one-way combined telephone and television streams in 1927, and the German Post Office had a fully operative public videophone system as early as 1936. However, despite the apparent early progress, VMC has had a surprisingly rocky path to mainstream use—indeed, it might even be argued that VMC is still not the ubiquitous medium one would assume of “the next best thing to being there” (as Julius Molnar said of the AT&T Mod I in the 1960s). Commercial VMC and research have intertwined themes. Changing technologies and difficulties in institutional and domestic commercialization are set against research into the value, form-factors, and member methods for conveying social presence over distance. These issues are as relevant to current VMC as they have ever been, and augmented reality technologies will introduce yet more new opportunities and challenges.
Helena Sofia Rodrigues and Manuel José Fonseca
In the context of epidemiology, an epidemic is defined as the spread of an infectious disease to a large number of people, in a given population, within a short period of time. When we refer to the marketing field, a message is viral when it is broadly sent and received by the target market through person-to-person transmission. This marketing communication strategy is currently assumed to be an evolution by word of mouth, with the influence of information technologies, and called Viral Marketing. This stated similarity between an epidemic and the viral marketing process is notable yet the critical factors to this communication strategy’s effectiveness remain largely unknown. A literature review specifying some techniques and examples to optimize the use of viral marketing is therefore useful.
Advantages and disadvantages exist to using social networks for the reproduction of viral information. It is very hard to predict whether a campaign becomes viral. However, there are some techniques to improve advertising/marketing communication, which viral campaigns have in common and can be used for producing a better communication campaign overall. It is believed that the mathematical models used in epidemiology could be a good way to model a marketing communication in a specific field. Indeed, an epidemiological model SIR (Susceptible-Infected-Recovered) helps to reveal the effects of a viral marketing strategy. A comparison between the disease parameters and the marketing application, as well as simulations using Matlab software explores the parallelism between a virus and the viral marketing approach.