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.

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.

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.

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.

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.

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.

Mechanisms of mental illness anti-stigma messaging matter: Leveraging mental health communication inequities among Latinx populations to understand what works and what we can do better.

BACKGROUND: Since 1950, public communication about the neurobiological-psychosocial basis of mental illness from the diathesis-stress model has promoted reception to treatment yet violent/dangerous stereotypes have increased during this period. Moreover, public mental health communication efforts have predominantly diffused in English-language media, excluding Spanish/Latinx media and its consumers from these efforts. To inform future mental health communication strategies, this study leverages high versus low diffusion of public mental health communication across English and Spanish/Latinx media to examine public mental health communication effects on stigma and treatment beliefs via neurobiological-psychosocial beliefs. METHODS: A quota sample of 2058 U.S.-based Latinx residents ages 13-86 with diverse language/cultural media preferences was recruited to self-complete a survey about mental health information acquisition in 2021. Assessments ascertained frequency of Spanish/Latinx and English media use and mental health content scanning and seeking (α = 0.86-0.94); and items from the General Social Survey about mental illness neurobiological-psychosocial causal beliefs (α = 0.72)-genetics, brain chemistry, environment, stress; treatment beliefs-mental illness improves with treatment or on its own; and stigma beliefs-violent/dangerous and bad character stereotypes and unwillingness to socialize with a person with mental illness. Structural equation models estimated total, direct, and indirect effects of Spanish/Latinx and English media exposures on treatment and stigma beliefs via neurobiological-psychosocial beliefs, net individual/family factors. RESULTS: Spanish/Latinx media reduced, while English media increased, neurobiological-psychosocial beliefs (p < 0.01). Neurobiological-psychosocial beliefs, in turn, increased treatment and stigma beliefs (p < 0.01), simultaneously. Indirect pathways were also significant (p < 0.05). Proportion mediated on treatment beliefs was one-third for Spanish/Latinx and two-thirds for English media. Proportion mediated on stigma beliefs for all media exposures averaged ≥1. CONCLUSIONS: While consumers of Spanish/Latinx media report lower neurobiological-psychosocial knowledge that impedes treatment beliefs, consumers of English media report greater neurobiological-psychosocial and treatment knowledge and, consequently, more stigma. Innovation in public mental health communication is needed to counter stigma and health inequity.

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.

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.

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.

'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.

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.

Meaningful Media Experiences and Vaccination Message Communication: An Experimental Study with Vaccine-Hesitant Individuals.

Guided by the eudaimonic media and the health persuasion literature, the current study explores how meaningful emotions elicited from entertainment media exposure decreases anti-vaccination attitudes among vaccine-hesitant individuals. Results of a between-subjects experiment (N = 409) showed that participants who viewed meaningful music videos (vs. neutral videos) and vaccination messages embedded in the user-generated comments reported more empathy, less reactance, and less anti-vaccination attitudes. Multigroup analysis revealed that this association was held for participants who were hesitant about whether they would get fully vaccinated, but not for participants who were determined to not get vaccinated. Theoretical and practical implications were discussed.

"Death Is a Possibility for Those without Shelter": A Thematic Analysis of News Coverage on Homelessness and the 2021 Heat Dome in Canada.

Among the most vulnerable to the health-harming effects of heat are people experiencing homelessness. However, during the 2021 Heat Dome, the deadliest extreme heat event (EHE) recorded in Canada to date, people experiencing homelessness represented the smallest proportion of decedents (n = 3, 0.5%)-despite the impacted region (British Columbia) having some of the highest rates of homelessness in the country. Thus, we sought to explore the 2021 Heat Dome as a media-based case study to identify potential actions or targeted strategies that were initiated by community support agencies, individuals and groups, and communicated in the news during this EHE that may have aided in the protection of this group or helped minimize the mortality impacts. Using media articles collated for a more extensive investigation into the effects of the 2021 Heat Dome (n = 2909), we identified a subset which included content on people experiencing homelessness in Canada (n = 274, 9%). These articles were thematically analysed using NVivo. Three main themes were identified: (i) public warnings issued during the 2021 Heat Dome directly addressed people experiencing homelessness, (ii) community support services explicitly targeting this population were activated during the heat event, and (iii) challenges and barriers faced by people experiencing homelessness during extreme heat were communicated. These findings suggest that mass-media messaging and dedicated on-the-ground initiatives led by various organizations explicitly initiated to support individuals experiencing homelessness during the 2021 Heat Dome may have assisted in limiting the harmful impacts of the heat on this community.

Prevalence, Reach of Anti-smokeless Tobacco Messages and Quit Attempts by Product Type: A Secondary Data Analysis from the Global Adult Tobacco Survey (GATS - 2016-17).

OBJECTIVE: India has the highest number of smokeless tobacco (SLT) products available in different forms, consumed in various ways. The current study aimed to understand the pattern of daily SLT use according to different product categories and whether Quit intention and Quit attempts vary by SLT type and exposure to media messages. METHODS: Data from Global Adult Tobacco Surveys (GATS), 2016-17, was used to find access to media messages and warning labels by SLT type. Quit attempt and Quit intention were calculated for each of the SLT types. Logistic regression analyses were employed to identify whether access to media messages, warning labels influenced, quit intention and attempts vary by SLT type. RESULTS: Khaini or tobacco lime mixture was the most common SLT type consumed by 37% of SLT users, whereas SLT users consuming more than one product accounted for 23% of SLT users. Exposure to media messages and warning labels was high among Gutkha/ paan masala tobacco users (74.7% and 81.2%) and low among oral tobacco (Mishri, Gul, Gudakhu) users (56.1% and 60.0%). Quit attempts and quit intention were high among Gutkha/ paan masala tobacco users (38.3% and 22.3%) and low among oral tobacco (Mishri, Gul, Gudakhu) users (25.3% and 13.6%). Users of Oral tobacco and khaini or tobacco-lime mixture were significantly less likely to attempt quitting (AOR 0.806(95%CI: 0.676-0.962), 0.839(95%CI: 0.736-0.956), and have quit intention (AOR 0.681(95%CI: 0.702-0.976), 0.733(95%CI: 0.627-0.857) compared to Gutkha/ paan masala with tobacco users. CONCLUSION: The reach of media messages and warning labels varies by SLT type. Quit intention and attempts vary by SLT type and access to media messages and warning labels. There is a need to re-strategise the tobacco control Information, Education and Communication (IEC) to reach out with effective messaging to the most unreached.

Vídeos sobre vacinas: quais fatores influenciam em maior visualização no YouTube? / Videos about vaccines: what factors influence on having higher views on YouTube? / Videos sobre vacunas: ¿qué factores influyen en una mayor visualización en YouTube?

Considerando-se a crescente importância do YouTube como fonte para busca de informações em saúde, o objetivo deste trabalho é analisar os fatores associados a um maior número de visualizações de vídeos sobre vacinas contra a covid-19. Para isso, usaram-se técnicas de Processamento de Linguagem Natural e modelagem estatística com base em 13.619 vídeos, abrangendo três tipos de variáveis: métricas gerais, conteúdo textual dos títulos e informações sobre os participantes dos vídeos. Entre os resultados, destacam-se os vídeos de duração média ou longa, postados durante a madrugada e nos fins de semana, com tags, descrição e títulos curtos, além de elementos controversos e presença de figuras masculinas e brancas em miniaturas. Os achados contribuem para uma melhor compreensão dos possíveis fatores a serem considerados na produção de conteúdo de comunicação em saúde sobre vacinas no YouTube.

Considering the growing importance of YouTube as a source for health information search, the aim of this study was to analyze the factors associated with a higher number of views in videos about covid-19 vaccines. For this purpose, Natural Language Processing techniques and statistical modeling were employed based on 13,619 videos, encompassing three types of variables: general metrics, textual content of titles, and information about the participants in the videos. Among the results, videos of medium or long duration, posted during late hours and on weekends, with tags, descriptions, and short titles, along with controversial elements and the presence of male and white figures in thumbnails stand out. These findings contribute to a better understanding of the potential factors to be considered in the production of health communication content about vaccines on YouTube.

Teniendo en cuenta la creciente importancia de YouTube como fuente de búsqueda de información en salud, el objetivo de este artículo es analizar los factores asociados a un mayor número de visualizaciones en videos sobre vacunas contra el covid-19. Para eso, se emplearon técnicas de Procesamiento del Lenguaje Natural y modelado estadístico basadas en 13,619 videos, que abarcan tres tipos de variables: métricas generales, contenido textual de títulos y información sobre los participantes en los videos. Entre los resultados, destacan los videos de duración media o larga, publicados durante altas horas de la noche y los fines de semana, con tags, descripciones y títulos cortos, junto con elementos controvertidos y la presencia de figuras masculinas y blancas en las miniaturas. Estos hallazgos contribuyen a una mejor comprensión de los posibles factores a tener en cuenta en la producción de contenido de comunicación de salud sobre vacunas en YouTube.

Impact of Traditional and New Media on Smoking Intentions and Behaviors: Secondary Analysis of Tasmania's Tobacco Control Mass Media Campaign Program, 2019-2021.

BACKGROUND: Tasmania, the smallest state by population in Australia, has a comprehensive tobacco control mass media campaign program that includes traditional (eg, television) and "new" channels (eg, social media), run by Quit Tasmania. The campaign targets adult smokers, in particular men aged 18-44 years, and people from low socioeconomic areas. OBJECTIVE: This study assesses the impact of the 2019-2021 campaign program on smokers' awareness of the campaign program, use of Quitline, and smoking-related intentions and behaviors. METHODS: We used a tracking survey (conducted 8 times per year, immediately following a burst of campaign activity) to assess campaign recall and recognition, intentions to quit, and behavioral actions taken in response to the campaigns. The sample size was approximately 125 participants at each survey wave, giving a total sample size of 2000 participants over the 2 years. We merged these data with metrics including television target audience rating points, digital and Facebook (Meta) analytics, and Quitline activity data, and conducted regression and time-series modeling. RESULTS: Over the evaluation period, unprompted recall of any Quit Tasmania campaign was 18%, while prompted recognition of the most recent campaign was 50%. Over half (52%) of those who recognized a Quit Tasmania campaign reported that they had performed or considered a quitting-related behavioral action in response to the campaign. In the regression analyses, we found having different creatives within a single campaign burst was associated with higher campaign recall and recognition and an increase in the strength of behavioral actions taken. Higher target audience rating points were associated with higher campaign recall (but not recognition) and an increase in quit intentions, but not an increase in behavioral actions taken. Higher Facebook advertisement reach was associated with lower recall among survey participants, but recognition was higher when digital channels were used. The time-series analyses showed no systematic trends in Quitline activity over the evaluation period, but Quitline activity was higher when Facebook reach and advertisement spending were higher. CONCLUSIONS: Our evaluation suggests that a variety of creatives should be used simultaneously and supports the continued use of traditional broadcast channels, including television. However, the impact of television on awareness and behavior may be weakening. Future campaign evaluations should closely monitor the effectiveness of television as a result. We are also one of the first studies to explicitly examine the impact of digital and social media, finding some evidence that they influence quitting-related outcomes. While this evidence is promising for campaign implementation, future evaluations should consider adopting rigorous methods to further investigate this relationship.