Mainstream broadcasting media is a potentially powerful avenue for disseminating wellness education. For example, it can be used for community-based risk management, including preparing for pandemic events. The media can have a considerable positive impact on the public by increasing their health knowledge, changing attitudes and intentions, and influencing health behavior. However, although the broadcasting media can usefully convey prosocial, healthy messages, there is also a risk of propagating incorrect and antisocial, poor public health information.
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http://dx.doi.org/10.1002/cpt.1199 | DOI Listing |
Heliyon
November 2024
Department of Management and Finance, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
The issue of global climate change is increasingly worrisome, particularly for countries heavily reliant on agriculture. To reduce the negative impact of climate change on agriculture, farmers of Bangladesh started adopting different climate smart agriculture (CSA) practices. The CSA sustainably increases productivity, resilience, and food security, which can contribute to the achievement of a number of sustainable development goals (SDGs).
View Article and Find Full Text PDFViolence Against Women
January 2025
Griffith University, Brisbane, Australia.
In Australia, (DFV) has reached epidemic proportions. This research argues that it constitutes a form of , although the news media, governments, or public rarely refer to DFV in this way. This paper examines how Australian news media outlets- the , and reported on and at times connected DFV and terrorism, finding that DFV and terrorism were connected in several ways, and that DFV was described as terrorism by several academics, advocates, journalists, and victims.
View Article and Find Full Text PDFBMC Health Serv Res
December 2024
Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Background: The advertising of unhealthy products, including unhealthy foods, drugs with abuse potential, certain cosmetic products and services, and tobacco, has raised significant public health concerns due to its role in increasing consumption and contributing to the rise of non-communicable diseases. Policy development and enforcement in this area necessitate an in-depth analysis of the relevant stakeholders. This study aims to examine the stakeholders involved in regulating the advertisement of unhealthy products in Iran, providing critical evidence for shaping advertising regulations and reducing the societal consumption of such products.
View Article and Find Full Text PDFPLoS One
December 2024
School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, South Korea.
The objective of this study is to identify the characteristics of users of AI speakers and predict potential consumers, with the aim of supporting effective advertising and marketing strategies in the fast-evolving media technology landscape. To do so, our analysis employs decision trees, random forests, support vector machines, artificial neural networks, and XGboost, which are typical machine learning techniques for classification and leverages the 2019 Media & Consumer Research survey data from the Korea Broadcasting and Advertising Corporation (N = 3,922). The final XGboost model, which performed the best among the other machine learning models, specifically forecasts individuals aged 45-50 and 60-65, who are active on social networking platforms and have a preference for varied programming content, as the most likely future users.
View Article and Find Full Text PDFCogn Emot
December 2024
Black Dog Institute, University of New South Wales, Sydney, Australia.
Associations between screen time and mental health may be driven by increased use in young people with heightened symptoms as a means of modifying negative mood. However, the direct effect of technology use on mood remains unclear. This study aimed to investigate the effect of active and passive social media use on an induced sad or neutral mood by randomising young people (16-24 years; N = 116) to a sad or neutral mood induction task and assessing mood after being instructed to engage in active or passive social media use.
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