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News literacy is an emerging field within the disciplines of media literacy, journalism education, information technology, and other related areas, although there is no unified definition or consensus among researchers as to what exactly the news literacy curriculum should entail. Its core mission is broadly recognized as “citizen empowerment” in that the critical-thinking skills necessary to the evaluation of news reports and the ability to identify fact-based, quality information encourage active participation and engagement among well-informed citizens. One dominant instructional paradigm, which some researchers refer to as the “journalism school approach,” emerged in the mid-2000s and distinguished “news literacy” from its longer-recognized counterpart, media literacy. Lessons in news literacy classrooms focus exclusively on the deconstruction of news content. While news literacy often shares many of its analytical goals and theoretical frameworks with media literacy education, it also contains specialized pedagogical methods specific to the process of news production, which are not applicable to other types of media content. Despite some heated discussions among scholars, particularly in the United States, with different standpoints on whether this pedagogy is more or less effective than the approaches taken by media literacy educators, the difference between the two and other related fields, such as digital literacy and web literacy, is often ambiguous because in practice, neither discipline is particularly standardized and each instructor’s understanding of the field, as well as their academic training, has a significant impact on students’ learning experiences. Globally, the debate over the—often subtle—nuances that differentiate these various approaches have even less significance, as educators around the world translate and adapt news literacy concepts to fit the unique circumstances and environments found in their own country’s news media, political, and technological environments. Perhaps the most pressing issue in the current state of news literacy is a lack of a cohesive body of peer-reviewed research, or in particular, a research design that appropriately measures the efficacy of educational models. News literacy studies grounded in social science methods are limited. Scholarship on critical news instruction and skill development, which has been traditionally conducted under the umbrella of media literacy, is mostly comprised of descriptive accounts of educational interventions or self-reported surveys on media attitudes, content consumption behaviors, or analytical skills. In the United States, a body of quantitative work based on an assessment instrument called a “news media literacy scale” has influenced how researchers can contextualize and measure news literacy, and some qualitative analyses shed light on specific pedagogical models. Interest in educational intervention and related research has increased rather dramatically since 2016 as global concerns over “post-truth” media consumption and the “fake news” phenomena have become part of academic discourse in different disciplines. Collaborative works among scholars and practitioners in the areas that could potentially inform the design of effective news literacy curriculum development, such as cognitive science, social psychology, and social media data analysis, have started to emerge as well.

The relationship between public opinion and journalism has long been a considered a cornerstone of modern functioning democracies. This important relationship has been the focus of scholarship across broad disciplines such as journalism studies, communication, sociology, philosophy, and political science. One hundred and twenty years ago, French sociologist Gabrielle Tarde outlined the press–conversation–opinion–action model to illustrate the role that the press and journalists have on initiating conversation among citizens, forming public opinion, and how this opinion translates into civic action that fosters social change. Highly related to Tarde’s press–conversation–opinion–action model are current theories of journalism and public opinion such as agenda-setting, priming, the two-step flow hypothesis, diffusion of innovation, and the spiral of silence. All of these theories relate to how the press can inform citizens, foster interactions with others, shape their opinions, and mobilize citizens into civic engagement and political action. However, in today’s mobile, digital, and highly segmented communication landscape defined by “post-truth” and “alternative facts” and where emotions resonate more than evidence because of audience biases and identity protective cognition, the problem of the spread of misinformation has caused a great deal of consternation among journalists, pundits, and public opinion scholars, leading to a global rise in fact-checking. But because much of the misleading and deceptive claims in today’s communication environment appear first on social media, there is currently a fervent quest for automated computational fact-checking.

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.

Adolescent substance use remains a significant public health challenge, with recent approaches to address these problems including actively engaging adolescents in message planning and/or production as a prevention strategy. There are two benefits of this active involvement strategy. First, engaging adolescents in message planning or producing substance prevention messages is a form of participatory research that results in participant-generated messages for use in future intervention efforts. This participatory form of research is increasingly common in a wide range of topics and populations, particularly disenfranchised or stigmatized groups. It is important to focus on the second benefit of engaging adolescents in message planning and prevention: the effect of engaging in planning or producing substance prevention messages on the adolescents themselves. If done properly, the process of engaging adolescents in planning (or producing) anti-substance messages can provide longer-term benefits of delaying onset of substance use (strengthening resistance) as well as changing patterns for those already using. Some examples of this strategy exist with media literacy, although applied with a great deal of variability. The increased popularity of these planning/production approaches requires greater explication of how, when, and why they produce effects for participants. Two different theoretical perspectives address this active involvement intervention approach: narrative engagement theory and the theory of active involvement. Beyond these theories, sensation seeking is positioned as a moderator to explore for active involvement intervention effects.

Shortly after its emergence as a tool for participatory journalism, online commenting became a popular format for audience public discourse and a subject of controversy for professional journalists. The early 21st century has seen a constant growth in research considering how online comments have influenced journalism by providing new ways to understand the perspective of the audience, by changing the routines and practices of the newsroom, and by encouraging a reconsideration of how content influences readers. News audiences, generally, have been relatively quiet and passive in the past, but online comments have given them the opportunity to speak alongside journalists on professional platforms. This shift in news-mediated public discourse has the potential to reshape the journalist−audience relationship in substantial ways. The research on commenting has provided new evidence on how journalistic practices are changing, how people perceive and process information online, and how journalists negotiate technological change while trying not to upend the profession. However, there is a need for more research that explores critical questions related to comment quality, changing journalistic norms, and the relationship between journalist identity and technology. Online commenting has the potential to help fulfill the journalistic norms of providing a space for public discourse and promoting diverse views from within the community. This potential, however, is reliant upon journalists who uphold the civic function of journalism’s role.

When it comes to health and risk, “place” matters. People who live in lower-income neighborhoods are disproportionately affected by obesity and obesity-related diseases like heart disease, hypertension, and diabetes; asthma; cancers; mental health issues; etc., compared to those that live in higher-income communities. Contributing to these disparities are individual-level factors (e.g., education level, health literacy, healthcare access) and neighborhood-level factors such as the socioeconomic characteristics of the neighborhood; crime, violence, and social disorder; the built environment; and the presence or absence of health-enhancing and health-compromising resources. Social determinants of health—for example, social support, social networks, and social capital—may improve or further complicate health outcomes in low-income neighborhoods. Social support is a type of transaction between two or more people intended to help the recipient in some fashion. For instance, a person can help provide someone who is grieving or dealing with a newly diagnosed health issue by providing emotional support. Informational support may be provided to someone trying to diagnose, manage, and/or treat a health problem. Instrumental support may come in the help of making meals for someone who is ill, running errands for them, or taking them to a doctor’s appointment. Unfortunately, those who may have chronic diseases and require a lot of support or who otherwise do not feel able to provide support may not seek it due to the expectation of reciprocity. Neighborhood features can enable or constrain people from developing social networks that can help provide social support when needed. There are different types of social networks: some can enhance health outcomes, while others may have a more limiting or even a detrimental effect on health. Social capital results in the creation of resources that may or may not improve health outcomes. Communication infrastructure theory offers an opportunity to create theoretically grounded health interventions that consider the social and neighborhood characteristics that influence health outcomes. The theory states that every neighborhood has a communication infrastructure that consists of a neighborhood storytelling network—which includes elements similar to the social determinants of health—embedded in a communication action context that enables or constrains neighborhood storytelling. People who are more engaged in their neighborhood storytelling networks are in a better position to reduce health disparities—for example, to fight to keep clinics open or to clean up environmental waste. The communication action context features are similar to the neighborhood characteristics that influence health outcomes. Communication infrastructure theory may be useful in interventions to address neighborhood health and risk.

Adolescent substance use and abuse has long been the target of public health prevention messages. These messages have adopted a variety of communication strategies, including fear appeals, information campaigns, and social marketing/branding strategies. A case history of keepin’ it REAL, a narrative-based substance abuse prevention intervention that exemplifies a translational research approach, involves theory development testing, formative and evaluation research, dissemination, and assessment of how the intervention is being used in the field by practitioners. The project, which started as an attempt to test the notion that the performance of personal narratives was an effective intervention strategy, has since produced two theories, an approach to implementation science that focused on communication processes, and, of course, a school-based curriculum that is now the most widely disseminated drug prevention program in the world. At the core of the keepin’ it REAL program are the narratives that tell the story of how young people manage their health successfully through core skills or competencies, such as decision-making, risk assessment, communication, and relationship skills. Narrative forms not only the content of curriculum (e.g., what is taught) but also the pedagogy (e.g., how it is taught). This has enabled the developers to step inside the social worlds of youth from early childhood through young adulthood to describe how young people manage problematic health situations, such as drug offers. This knowledge was motivated by the need to create curricula that recount stories rather than preaching or scaring, that re-story health decisions and behaviors by providing skills that enable people to live healthy, safe, and responsible lives. Spin-offs from the main study have led to investigations of other problematic health situations, such as vaccination decisions and sexual pressure, in order to address crucial public health issues, such as cancer prevention and sex education, through community partnerships with organizations like D.A.R.E. America, 4-H clubs, and Planned Parenthood.

Entertainment is fun, and fun is an emotion. What fun is as an emotion, and how it depends on features of entertainment messages and on other emotions, needs to be understood if we want to explain the appeal of entertainment. Entertainment messages such as movies, stories, drama, games, and sports spectacles can move us in a great variety of ways. But characteristic for the use of all genres is a remarkable, intense focus on interacting with the entertainment message and the virtual world it stages. Gamers in action or listeners of radio drama tend to persist in using the message, apparently blind and deaf to any distraction. Persistence is emotion driven. Intrinsic pleasure in what is a playful activity drives this passionate persistence. Enjoyment, interest, or excitement and absorption are the emotions that make entertainees go for more fun in the ongoing use of an entertainment message. In the use of an entertainment message, these go-emotions complement emotional responses to what happens in the world staged by the message. Horror incites fear and disgust, while serious drama elicits sadness and bittersweet feelings. In our conception, go and complementary emotions are immediate effects of the use of entertainment content: I feel excitement and apprehension now, while I am watching this thriller. Models of distal effects of media entertainment, such as ones on mood, behavior, beliefs, attitudes, and preferences require a proper understanding of immediate emotional responses to concrete messages. The effects of entertainment are only incidental; the emphasis is on immediate emotional experiences in the use of entertainment messages. Immediate emotional responses can be understood and predicted from an analysis of entertainment messages. Entertainment comes in messages with a characteristic temporal structure. Entertainment emotions develop across the presentation time of the message. Their development can be captured and understood in models of a message’s emotion structure. The emotion structure of a message represents the dynamics of go and complementary emotions across consecutive events, such as story episodes or drama scenes, and within these. Research into the uses and effects of media entertainment has a long tradition. Immediate emotional responses to mediated entertainment messages have been theorized and researched since the seminal work of Dolf Zillmann in the 1970s. The state of the art in research on the entertainment emotions needs to be discussed—starting with a general model of these, and elaborating it for selected entertainment genres.