A Call for Nurses to Become Media Competent: An Interview With Barbara Glickstein.

In this column, Barbara Glickstein, a public health nurse, health reporter, and media strategist, shares insights about nurses' involvement and engagement in the media. She founded "Barbara Glickstein Strategies," a company that trains healthcare leaders to become media competent to advance population health and public policy.

Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment.

BACKGROUND: Whether and how the uncertainty about a public health crisis should be communicated to the general public have been important and yet unanswered questions arising over the past few years. As the most threatening contemporary public health crisis, the COVID-19 pandemic has renewed interest in these unresolved issues by both academic scholars and public health practitioners. OBJECTIVE: The aim of this study was to investigate the impact of communicating uncertainty about COVID-19-related threats and solutions on individuals' risk perceptions and misinformation vulnerability, as well as the sequential impact of these effects on health information processing and preventative behavioral intentions. METHODS: A 2×2 (threat uncertainty [presence vs absence]×solution uncertainty [presence vs absence]) full-fractional between-subjects online experiment was conducted with 371 Chinese adults. Focusing on the discussion of whether the asymptomatic cases detected during the COVID-19 pandemic would further lead to an uncontrolled pandemic, news articles were manipulated in terms of whether the infectiousness of asymptomatic cases and the means to control the transmission are presented in terms of their certainty or uncertainty. Participants were randomly assigned to one of the four experimental conditions, being instructed to read one news article. After reading the news article assigned, participants were asked to respond to a series of questions to assess their cognitive and behavioral responses. RESULTS: Individuals were more susceptible to believing false COVID-19-related information when a certain threat and uncertain solution were framed in the news article. Moreover, individuals' perceptions of crisis severity increased when exposed to news information containing uncertain solutions. Both misinformation vulnerability and perceived severity were positively associated with information processing. Information seeking was positively associated with protective behavioral intention, whereas information avoidance was negatively associated with protective behavioral intention. CONCLUSIONS: Our findings imply that uncertainty, depending on its aspect, can be effectively communicated to the public during an emerging public health crisis. These results have theoretical and practical implications for health communicators and journalists. Given its limited influence on individuals' cognitive and behavioral responses, uncertainty related to a health threat should be disseminated to meet the public's expectation of information transparency. However, caution is advised when communicating uncertainty related to potential solutions, as this factor exhibited a mixed impact on individual responses during a crisis.

Media Influence on Bystander Intervention for Health Protective Norms: The Integrative Model of Behavioral Prediction Perspective.

Drawing upon the Integrative Model of Behavioral Prediction (IM) and the Bystander Intervention Model, this study investigates the impact of media health information on individuals' intentions to address violations of health norms, specifically noncompliance with mask-wearing during the COVID-19 pandemic. Our survey results (n=1,426) indicate a positive correlation between seeking health information from the media and the intention to confront norm violators regarding mask-wearing. This correlation is mediated through three intermediary pathways: attitudes, normative beliefs, and perceived behavioral control. These discoveries address a previously unexplored area concerning pro-social health behaviors, bystander intervention, and contribute to the field of health communication by linking them to research on media influences. Combining media and peer interventions could lead to more effective health outcomes. The discussion covers both theoretical and practical implications.

Epistemic language in news headlines shapes readers' perceptions of objectivity.

How we reason about objectivity-whether an assertion has a ground truth-has implications for belief formation on wide-ranging topics. For example, if someone perceives climate change to be a matter of subjective opinion similar to the best movie genre, they may consider empirical claims about climate change as mere opinion and irrelevant to their beliefs. Here, we investigate whether the language employed by journalists might influence the perceived objectivity of news claims. Specifically, we ask whether factive verb framing (e.g., "Scientists know climate change is happening") increases perceived objectivity compared to nonfactive framing (e.g., "Scientists believe [...]"). Across eight studies (N = 2,785), participants read news headlines about unique, noncontroversial topics (studies 1a-b, 2a-b) or a familiar, controversial topic (climate change; studies 3a-b, 4a-b) and rated the truth and objectivity of the headlines' claims. Across all eight studies, when claims were presented as beliefs (e.g., "Tortoise breeders believe tortoises are becoming more popular pets"), people consistently judged those claims as more subjective than claims presented as knowledge (e.g., "Tortoise breeders know…"), as well as claims presented as unattributed generics (e.g., "Tortoises are becoming more popular pets"). Surprisingly, verb framing had relatively little, inconsistent influence over participants' judgments of the truth of claims. These results demonstrate how, apart from shaping whether we believe a claim is true or false, epistemic language in media can influence whether we believe a claim has an objective answer at all.

Preferred sources of information on diabetes prevention programmes: a population-based cross-sectional study in Poland.

OBJECTIVE: This study aimed to analyse preferred sources of information on diabetes prevention programmes and to identify sociodemographic determinants influencing these preferences among adults in Poland. DESIGN: A cross-sectional survey was carried out between 15 and 18 September 2023 using a computer-assisted web interview. A self-prepared questionnaire included 10 questions on sources of information on type 2 diabetes prevention. PARTICIPANTS: Data were obtained from 1046 adults (18-82 years); 53.4% were females. RESULTS: Most respondents preferred email communication (46.4%), followed by a doctor or nurse (33.5%), and a letter or leaflet directly delivered to the mailbox (25.8%) for type 2 diabetes mellitus (DM2) prevention information. Younger respondents were more likely to indicate mass media (OR=1.81, 95% CI=1.12 to 2.95, p=0.01) and digital media (OR=1.65, 95% CI=1.02 to 2.67, p=0.04) as a source of information on DM2 prevention. Those who had higher education (OR=1.51, 95% CI=1.16 to 1.96, p=0.002), as well as those with chronic diseases (OR=1.50, 95% CI=1.14 to 1.97, p=0.004), were more likely to indicate digital media. Out of 10 different variables analysed in this study, passive occupational status (OR=1.43, 95% CI=1.04 to 1.96, p=0.03) as well as having chronic diseases (OR=1.51, 95% CI=1.16 to 1.96, p=0.002) were associated with higher odds of indicating healthcare workers as a preferred source of information. Marital status, having children, place of residence, household characteristics and financial status do not significantly decide communication preferences. CONCLUSION: Communication on DM2 prevention should be adjusted to public preferences and expectations. Tailoring interventions to different demographic groups can enhance outreach and engagement. Email emerged as a popular choice, suggesting the potential of digital communication in preventive health programmes.

Softly empowering a prosocial expert in the family: lasting effects of a counter-misinformation intervention in an informational autocracy.

The present work is the first to comprehensively analyze the gravity of the misinformation problem in Hungary, where misinformation appears regularly in the pro-governmental, populist, and socially conservative mainstream media. In line with international data, using a Hungarian representative sample (Study 1, N = 991), we found that voters of the reigning populist, conservative party could hardly distinguish fake from real news. In Study 2, we demonstrated that a prosocial intervention of ~ 10 min (N = 801) helped young adult participants discern misinformation four weeks later compared to the control group without implementing any boosters. This effect was the most salient regarding pro-governmental conservative fake news content, leaving real news evaluations intact. Although the hypotheses of the present work were not preregistered, it appears that prosocial misinformation interventions might be promising attempts to counter misinformation in an informational autocracy in which the media is highly centralized. Despite using social motivations, it does not mean that long-term cognitive changes cannot occur. Future studies might explore exactly how these interventions can have an impact on the long-term cognitive processing of news content as well as their underlying neural structures.

A machine learning approach to detect potentially harmful and protective suicide-related content in broadcast media.

Suicide-related media content has preventive or harmful effects depending on the specific content. Proactive media screening for suicide prevention is hampered by the scarcity of machine learning approaches to detect specific characteristics in news reports. This study applied machine learning to label large quantities of broadcast (TV and radio) media data according to media recommendations reporting suicide. We manually labeled 2519 English transcripts from 44 broadcast sources in Oregon and Washington, USA, published between April 2019 and March 2020. We conducted a content analysis of media reports regarding content characteristics. We trained a benchmark of machine learning models including a majority classifier, approaches based on word frequency (TF-IDF with a linear SVM) and a deep learning model (BERT). We applied these models to a selection of more simple (e.g., focus on a suicide death), and subsequently to putatively more complex tasks (e.g., determining the main focus of a text from 14 categories). Tf-idf with SVM and BERT were clearly better than the naive majority classifier for all characteristics. In a test dataset not used during model training, F1-scores (i.e., the harmonic mean of precision and recall) ranged from 0.90 for celebrity suicide down to 0.58 for the identification of the main focus of the media item. Model performance depended strongly on the number of training samples available, and much less on assumed difficulty of the classification task. This study demonstrates that machine learning models can achieve very satisfactory results for classifying suicide-related broadcast media content, including multi-class characteristics, as long as enough training samples are available. The developed models enable future large-scale screening and investigations of broadcast media.

Media exposure to climate change information and pro-environmental behavior: the role of climate change risk judgment.

BACKGROUND: The aim of this study was to examine the relationships between exposure to climate change information in traditional and modern media, cognitive and emotional aspects of climate change risk judgment, and pro-environmental behavior (PEB). METHOD: A cross-sectional online study was conducted on a quota sample of 1,075 participants (51.9% women) aged 18-79 years. Participants self-reported their exposure to climate change-related information in traditional (e.g. television) and modern media (e.g. social networks), cognitive assessment of climate change risk, level of worry about climate change, and the frequency of PEB. RESULTS: Structural equation modeling showed a good fit for the parallel mediation model, involving cognitive risk judgment and worry as mediators between exposure to climate change information in traditional and modern media and PEB. Exposure to climate change information in traditional media had indirect effect on PEB through heightened worry, but not cognitive risk judgment. In contrast, exposure to climate change information in modern media had no indirect effect on PEB. CONCLUSION: Since the link between exposure to climate change information in traditional media and PEB has been shown to be mediated by climate change worry, it is important to enhance the coverage of climate change in traditional media in Croatia, taking care to offer solutions to reduce possible negative impact on people's well-being.

Reports on sexual violence published in an online Chinese newspaper: A new frame research.

The leading role of the media is very important in the new media era to build the reporting system and framework of sexual violence crimes, guide people's awareness and public opinion, and improve society's vigilance on sexual crimes. This study took People's Daily Online, a representative online media in China, as a research object to analyse the reporting of sexual crimes over the past 15 years. We conducted relevant searches for specific keywords set in the Python crawler and used IBM SPSS Statistics 19 software to analyse the frequency of relevant content. The results of the research show that, firstly, there have been significant changes in the number of news stories about sexual crimes. Second, the majority of sexual crime news stories are from mainland China. Third, the focus of the news stories and people is relatively concentrated on the perpetrators. Fourth, the People's Daily Online's coverage of sexual crimes focuses on blaming the perpetrators. Fifth, sexual crimes show that the framework is more episodic. This paper examines changes in the coverage of sexual crimes in China and captures how the media cover socially relevant issues, providing important insights for future social health, psychological awareness and diversion, and media policy.

Mapping a moral panic: News media narratives and medical expertise in public debates on safer supply, diversion, and youth drug use in Canada.

The ongoing overdose and drug toxicity crisis in North America has contributed momentum to the emergence of safer supply prescribing and programs in Canada as a means of providing an alternative to the highly volatile unregulated drug supply. The implementation and scale-up of safer supply have been met with a vocal reaction on the part of news media commentators, conservative politicians, recovery industry representatives, and some prominent addiction medicine physicians. This reaction has largely converged around several narratives, based on unsubstantiated claims and anecdotal evidence, alleging that safer supply programs are generating a "new opioid epidemic", reflecting an emerging alignment among key institutional and political actors. Employing situational analysis method, and drawing on the policy studies and social science scholarship on moral panics, this essay examines news media coverage from January to July 2023, bringing this into dialogue with other existing empirical sources on safer supply (e.g. Coroner's reports, program evaluations, debates among experts in medical journals). We employ eight previously established criteria delineating moral panics to critically appraise public dialogue regarding safer supply, diverted medication, and claims of increased youth initiation to drug use and youth overdose. In detailing the emergence of a moral panic regarding safer supply, we trace historic continuities with earlier drug scares in Canadian history mobilized as tools of racialized poverty governance, as well as previous backlashes towards healthcare interventions for people who use drugs (PWUD). The essay assesses the claims of moral entrepreneurs against the current landscape of opioid use, diversion, and overdose among youth, notes the key role played by medical expertise in this and previous moral panics, and identifies what the convergence of these narratives materialize for PWUD and healthcare access, as well as the broader policy responses such narratives activate.

Exploring Australian News Media Portrayals of Sustainable and Plant-Based Diets.

(1) Background: Dietary behaviour transformation is imperative for the attainment of more sustainable food systems, including an increased intake of plant-based foods and lower consumption of red meat and highly processed foods. The influence of news media coverage on public opinion regarding dietary behaviours is significant. Therefore, this study aimed to explore how sustainable/plant-based diets have been portrayed in Australian news media. (2) Methods: The Factiva global news database was used to search news articles published in Australia between 2018 and 2020. Relevant news articles were selected if they included keywords relating to sustainable diets, plant-based diets, and meat alternatives. We used a coding protocol to extract key information, such as date of publication, article topic, and any health, environmental and economic impacts. Then, we performed a framing and thematic analysis of the data. (3) Results: From 357 included articles, more than half of the articles encouraged increasing the intake of plant-based foods (53.5%) and reducing animal-derived food intake (55.2%). Several reasons for such shift from animal protein centric Australian diets were identified throughout the articles such as health benefits (15.4%), environmental impacts (11.2%), animal welfare (4.8%), seasonality and local food intake (5.3%), avoiding overconsumption (4.5%) and food wastage (4.5%). (4) Conclusions: The predominant frame in Australian news coverage about sustainable diets has been about consumption, more plant- and less animal-based products, with little nuance about the complex interplay of diet quality and environment in influencing food choices. Australian news media should broaden its coverage of sustainable diets to include health, environmental, and economic factors to improve public understanding and facilitate informed and sustainable food choices. Further research is needed to enhance comprehension of how the audience perceives media coverage on this topic, which will provide a more thorough understanding.

Mass media campaigns and the 'file drawer problem': A mixed methods study of how to avoid campaign failure.

Mass media campaigns are frequently used to address public health issues. Considering the considerable cost, there has been little analysis of why campaigns sometimes fail. This study used a sequential mixed methods approach to explore the mechanisms that can lead to failure and to identify what can be done to avoid or overcome common mistakes in campaign planning, implementation, and evaluation. We conducted interviews and a survey with 28 public health social marketing and mass media campaign experts over three rounds of research and analysed the data thematically, generating themes inductively. We identified four systemic factors that drive success: long-term strategic thinking and commitment, understanding the campaign context, doing and learning from evaluation, and fostering strong relationships. The factors did not operate in isolation, rather good (or poor) execution in one area was likely to influence performance in another. The experts also emphasised that a change of political context could drastically affect one or more of the identified factors. Our analysis showed that campaign failures are not simply individuals making mistakes. Systemic issues throughout the planning, execution, and evaluation phases need to be addressed if campaign outcomes are to improve.

The use of food processing terminology in Australian news media: a content analysis.

OBJECTIVE: This study aims to determine whether ultra-processed foods (UPFs) are being discussed in news media in Australia and whether this terminology, as described in the NOVA system, is being applied accurately. DESIGN: Interpretive content analysis of online and print media articles that mentioned UPFs from 2009 to 2023 in Australia. SETTING: Australia. PARTICIPANTS: Online and print media articles. RESULTS: A total of two hundred ninety-eight Australian media articles were captured. A substantial increase in the number of UPF articles was observed between 2017-2019 and 2021-2023. The UPF concept was inaccurately explained or defined in 32 % of the articles and was frequently used interchangeably with other descriptors, such as 'highly or heavily processed food', 'junk food', 'unhealthy food', 'packaged food' and 'discretionary food'. Most of the articles had a health focus; however, sustainability interest increased, particularly in the past 18 months. CONCLUSIONS: UPFs are increasingly being discussed in news media in Australia; however, the concept is still incorrectly presented in over a third of articles. This highlights the importance of improving the literacy about UPFs to ensure that messages are communicated in a way that is salient, accessible and accurate.

'Kindling the fire' of NHS patient data exploitations: The care.data controversy in news media discourses.

This paper explores news media discourse about care.data: an NHS England programme of work for amalgamating and sharing patient data from primary care for planning and research. It was scrapped in 2016 after three years of public outcry, delays and around 1.5 million opt-outs. I examine UK news media coverage of this programme through the 'fire object' metaphor, focusing upon the visions of purpose and value it inspired, the abrupt discontinuities, juxtapositions and transformations it performed, and the matters of concern that went unheeded. Findings suggest that, in care.data's pursuit of a societal consensus on NHS patient data exploitations, various visions for new and fluid data flows brought to presence narratives of transforming the NHS, saving lives, and growing the economy. Other realities and concerns that mattered for certain stakeholders, such as data ownership and commercialisation, public engagement and informed consent, commitment and leadership, operational capabilities, and NHS privatisation agendas, remained absent or unsettled. False dichotomies kept the controversy alive, sealing its fate. I conclude by arguing that such failed programmes can turn into phantom-like objects, haunting future patient data schemes of similar aspirations. The paper highlights the role news media can have in understanding such energetic public controversies.

Veterans' Exposure to News Portrayals of Military-Related Posttraumatic Stress and Support for Government Health Interventions: Influences of Stigma and Halo Communication.

This study interrogates the nature by which media perpetuates and potentially preempts stigma about military-related posttraumatic stress. Indeed, addressing the stigma of mental illness is critical to facilitating veteran comfort in seeking needed mental health care. Therefore, the authors explored how media messages about veterans experiencing posttraumatic stress (PTS) influenced how veterans viewed themselves, other veterans experiencing PTS and overall support for government policy and intervention. An experimental design was used to assess how veterans' perceptions are affected by messages adhering to the principles of the model of stigma communication, as well as its more prosocial counterpart, what the authors coin as halo communication. Findings reveal evidence that stigma messages more potently influence outcome perceptions relative to comparable halo messages in the current context. Additionally, interactive effects of message exposure (i.e. conditioned by perceived association with PTS identity) were observed on views that government health intervention is warranted for veterans managing PTS. Practical and theoretical implications are discussed.

Analysis of green word-of-mouth advertising behavior of organic food consumers.

The word-of-mouth (WOM) marketing process is one of the main means by which consumers obtain information. As a communication channel between consumers in economically developing countries, WOM may contribute to the development of the organic food market. The primary objective of this study is to segment organic saffron consumers in Mashhad, Iran, and determine how they engage in WOM marketing. Data were collected through questionnaires from 13 districts of Mashhad using a stratified sampling method. In this study, 400 organic saffron consumers were grouped using a self-organizing map (SOM) neural network based on consumer neobehavioristic theory, and then, using decision trees, consumer behavior rules were extracted for participating in the WOM for each group. According to the results, less than fifty percent of consumers in each of the four market segments are willing to participate in WOM advertising for organic saffron. A lack of awareness of the characteristics of organic saffron is also found to be the main reason for consumers' reluctance to recommend organic saffron to others. Mass-media advertising is an effective way to raise consumer awareness and influence opinion leaders, ultimately resulting in WOM recommendations.

Automated stance detection in complex topics and small languages: The challenging case of immigration in polarizing news media.

Automated stance detection and related machine learning methods can provide useful insights for media monitoring and academic research. Many of these approaches require annotated training datasets, which limits their applicability for languages where these may not be readily available. This paper explores the applicability of large language models for automated stance detection in a challenging scenario, involving a morphologically complex, lower-resource language, and a socio-culturally complex topic, immigration. If the approach works in this case, it can be expected to perform as well or better in less demanding scenarios. We annotate a large set of pro- and anti-immigration examples to train and compare the performance of multiple language models. We also probe the usability of GPT-3.5 (that powers ChatGPT) as an instructable zero-shot classifier for the same task. The supervised models achieve acceptable performance, but GPT-3.5 yields similar accuracy. As the latter does not require tuning with annotated data, it constitutes a potentially simpler and cheaper alternative for text classification tasks, including in lower-resource languages. We further use the best-performing supervised model to investigate diachronic trends over seven years in two corpora of Estonian mainstream and right-wing populist news sources, demonstrating the applicability of automated stance detection for news analytics and media monitoring settings even in lower-resource scenarios, and discuss correspondences between stance changes and real-world events.