Text-Mining and Video Analytics of COVID-19 Narratives Shared by Patients on YouTube

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 te...

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Veröffentlicht in:	Journal of medical systems 2024-02, Vol.48 (1), p.21-21, Article 21
Hauptverfasser:	Chandrasekaran, Ranganathan, Konaraddi, Karthik, Sharma, Sakshi S., Moustakas, Evangelos
Format:	Artikel
Sprache:	eng
Schlagworte:	Anxiety COVID-19 COVID-19 vaccines Data Mining Emotions Health Informatics Health Sciences Humans Immunization Medicine Medicine & Public Health Narratives Original Paper Origins Pandemics Patients Public health Public participation Social Media Statistics for Life Sciences Vaccination Video Well being
Online-Zugang:	Volltext
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