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Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study.
J Med Internet Res
January 2025
Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan.
Background: Health misinformation undermines responses to health crises, with social media amplifying the issue. Although organizations work to correct misinformation, challenges persist due to reasons such as the difficulty of effectively sharing corrections and information being overwhelming. At the same time, social media offers valuable interactive data, enabling researchers to analyze user engagement with health misinformation corrections and refine content design strategies.
View Article and Find Full Text PDFComment on, "Development of a prediction model for tube feeding dependence in HPV-associated oropharyngeal cancer patients undergoing chemoradiotherapy".
Oral Oncol
January 2025
Department of Otolaryngology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou 646000 Sichuan, China. Electronic address:
A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniques.
Data Brief
February 2025
Oniris, INRAE, StatSC, 44300 Nantes, France.
This dataset was created to investigate the impact of data collection modes and pre-processing techniques on the quality of free comment data related to consumers' sensory perceptions. A total of 200 consumers were recruited and divided into two groups of 100. Each group evaluated six madeleine samples (five distinct samples and one replicate) in a sensory analysis laboratory, using different free comment data collection modes.
View Article and Find Full Text PDFClusters of Patient Empowerment and Mental Health Literacy Differentiate Professional Help-Seeking Attitudes in Online Mental Health Communities Users.
Health Expect
February 2025
Faculty of Communication, Culture and Society, Università della Svizzera italiana, Lugano, Switzerland.
Objectives: Grounded in the Health Empowerment Model, which posits that health literacy and patient empowerment are intertwined yet distinct constructs, this study investigates how the interplay of these factors influences attitudes toward seeking professional psychological help in members of online communities for mental health (OCMHs). This while acknowledging the multidimensionality of patient empowerment, encompassing meaningfulness, competence, self-determination, and impact.
Design And Methods: A cluster analysis of data gathered from 269 members of Italian-speaking OCMHs on Facebook has been performed.
The Urgent Need to Implement CVD Risk Prediction Scores in the Clinical Management of People With Type 1 Diabetes Cannot Be Overstated!
JACC Adv
January 2025
Professor of Clinical Medicine, Division of Endocrinology, Diabetes and Metabolism, Weil Cornell Medicine-New York Presbyterian, New York, New York, USA.
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