This study explores how individuals who have experienced COVID-19 share their stories on YouTube, focusing on the nature of information disclosure, public engagement, and emotional impact pertaining to consumer health. Using a dataset of 186 YouTube videos, we used text mining and video analytics techniques to analyze textual transcripts and visual frames to identify themes, emotions, and their relationship with viewer engagement metrics. Findings reveal eight key themes: infection origins, symptoms, treatment, mental well-being, isolation, prevention, government directives, and vaccination. While viewers engaged most with videos about infection origins, treatment, and vaccination, fear and sadness in the text consistently drove views, likes, and comments. Visuals primarily conveyed happiness and sadness, but their influence on engagement varied. This research highlights the crucial role YouTube plays in disseminating COVID-19 patient narratives and suggests its potential for improving health communication strategies. By understanding how emotions and content influence viewer engagement, healthcare professionals and public health officials can tailor their messaging to better connect with the public and address pandemic-related anxieties.
Keyphrases
- coronavirus disease
- public health
- sars cov
- healthcare
- social media
- mental health
- health information
- smoking cessation
- end stage renal disease
- ejection fraction
- big data
- newly diagnosed
- respiratory syndrome coronavirus
- chronic kidney disease
- combination therapy
- case report
- genome wide
- peritoneal dialysis
- dna methylation
- machine learning
- gene expression
- replacement therapy
- physical activity
- deep learning