Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1136/postgradmedj-2021-141160 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Adherence to COVID-19 vaccination during the pandemic and fake news: CorrespondenceAUTHORS' RESPONSEAmostragem e saturação em pesquisa qualitativa: consensos e controvérsiasImpact of the COVID-19 pandemic on the vaccination of children 12 months of age and under: an ecological studyMaranhão A. Missed childhood immunizations during the COVID-19 pandemic in Brazil: analyses of routine statistics and of a national household surveyEffects of the COVID-19 pandemic on routine pediatric vaccination in Brazil.
Rev Bras Enferm
January 2025
Chandigarh University Gharuan, University Centre for Research & Development Department of Pharmaceutical Sciences. Mohali, Punjab, India.
Hierarchical graph-based integration network for propaganda detection in textual news articles on social media.
Sci Rep
January 2025
EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia.
During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based models, such as Graph Neural Networks (GNNs), have achieved notable success in Natural Language Processing (NLP). However, utilizing GNN-based models for propaganda detection remains challenging because of the challenges related to mining distinct word interactions and storing nonconsecutive and broad contextual data.
View Article and Find Full Text PDFUnraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis.
JMIR Infodemiology
January 2025
Computational Social Science DataLab, University Institute of Research for Sustainable Social Development (INDESS), University of Cadiz, Jerez de la Frontera, Spain.
Background: During the COVID-19 pandemic, social media platforms have been a venue for the exchange of messages, including those related to fake news. There are also accounts programmed to disseminate and amplify specific messages, which can affect individual decision-making and present new challenges for public health.
Objective: This study aimed to analyze how social bots use hashtags compared to human users on topics related to misinformation during the outbreak of the COVID-19 pandemic.
Ideological Consistency and News Sharing as Predictors of Masking Among College Students.
Int J Environ Res Public Health
December 2024
School of Communication, Virginia Tech, Blacksburg, VA 24061, USA.
During the COVID-19 pandemic, the United States Centers for Disease Control and Prevention (CDC) recommended the use of well-fitting face masks or respirators as a strategy to reduce respiratory transmission; however, acceptance and utilization of face masks quickly became a contentious, politically charged matter. Given the effectiveness of masking against respiratory viruses, it is critical to understand the various normative factors and personal values associated with mask wearing. To this end, this study reports the findings of an online, cross-sectional survey ( = 1231) of college students during the COVID-19 pandemic.
View Article and Find Full Text PDFManaging emergency crises using secure information through educational awareness: COVID-19 case study.
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 PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!