In the wake of the Covid-19 pandemic, most universities had to switch to "emergency online learning". At the same time, academics were in search of means to combat "the infodemic", a wave of misinformation rolling over the world, affecting social and political life, and undermining efforts to deal with the pandemic. In the framework of emergency online learning, we propose an educational sciences undergraduate online course addressing fake news illiteracy by giving students an insight into the form and effects of fake news with a focus on framing. The course was built upon current fake news research and the problem-based learning approach. The research questions addressed students' perceptions of critical design elements, their fake news credibility test performance, and their academic achievement. A total of = 102 undergraduate students participated in the course. Among various design elements, students indicated that online communication and feedback was most appealing. On the other hand, for future course iterations, they suggested improvements to the task descriptions. Fake news credibility decreased significantly ((1, 36) = 62.64, < 0.000, partial = 0.64) and final course papers were on average good to very good, indicating strong academic achievement. The study suggests that problem-based online courses can be appropriate learning environments, even in the context of "emergency online learning" and, furthermore, that they can serve as an instrument for combating fake news illiteracy.
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http://dx.doi.org/10.1016/j.chb.2021.106796 | DOI Listing |
Iran J Nurs Midwifery Res
November 2024
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: The purpose of this scoping review is to identify the models of Health Information Disorders (HIDs), the components of these models, their study setting, and their designing approaches.
Materials And Methods: In this study, PubMed, Web Of Science (WOS), Scopus, ProQuest, and Embase databases were searched to identify relevant articles. After screening the identified studies, 22 studies were selected.
Iran J Nurs Midwifery Res
November 2024
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Comput Biol Med
January 2025
LMA Laboratory, University of Bejaia, Bejaia 06000, Algeria. Electronic address:
Social networks are increasingly taking over daily life, creating a volume of unsecured data and making it very difficult to capture safe data, especially in times of crisis. This study aims to use a Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM)-based hybrid model for health monitoring and health crisis forecasting. It consists of efficiently retrieving safe content from multiple social media sources.
View Article and Find Full Text PDFTob Control
January 2025
Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
J Interpers Violence
January 2025
Indiana State University, Terre Haute, USA.
Inclusive and supportive classroom environments are essential, particularly during political and societal crises such as wars, disinformation, polarization, and rising populism and extremism. While existing research underscores the importance of such environments, few studies comprehensively examine the impact of anti-hate speech prevention programs on classroom dynamics and students' social development. This study addressed this gap by investigating the direct and indirect effects of the HateLess anti-hate speech prevention program on inclusive classroom climate, classroom cohesion, empathy, and self-efficacy among adolescents.
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