A Study on Public Sentiment of Comments from COVID-19-related Videos: Research Track on Social Network Analysis, Social Media, & Mining (CSCI-RTNA)-Reference-Cited by-同舟云学术

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A Study on Public Sentiment of Comments from COVID-19-related Videos: Research Track on Social Network Analysis, Social Media, & Mining (CSCI-RTNA)

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
Short-container-title:

Author:

Yu Hualong¹,Xu Chao¹,Yu Guang¹

Affiliation:

1. School of Management, Harbin Institute of Technology,Harbin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216552.pdf?arnumber=10216552

Reference11 articles.

1. The Importance of Video Visits in the Time of COVID‐19

2. COVID-19 pandemic: An analysis of popular YouTube videos as an alternative health information platform

3. The Virtual Neurologic Exam: Instructional Videos and Guidance for the COVID-19;al;Era CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES,0

4. Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study

5. How to Fight an Infodemic[J];john;Lancet,2020

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