Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Advertisement

Currently submitted to: Journal of Medical Internet Research

Date Submitted: Jan 10, 2021
Open Peer Review Period: Jan 10, 2021 - Mar 7, 2021
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Temporal Dynamics of Emotions during the COVID-19 Pandemic at the Center of Outbreak: A Sentimental Analysis of Weibo Tweets from Wuhan

  • Shaobin Yu; 
  • David Eisenman; 
  • Ziqiang Han

ABSTRACT

Background:

The ongoing COVID-19 pandemic increased the general public's anxiety, depression, post-traumatic stress disorder (PTSD), psychological stress in various degrees around the world.

Objective:

This study aims to detect the temporal patterns of emotional fluctuation, the significant events that affected the emotional changes and variations, and the hourly variations of the emotions within a day.

Methods:

Based on a longitudinal dataset of 816,556 posts tweeted by 27,912 Weibo users in Wuhan from December 31, 2019 to April 31, 2020, we processed general sentiment inclination rating and the type of sentiments of Weibo tweets by relevant Python libraries and the Naive Bayes Classifier algorithm. We also grouped the hours into five-time groups to measure the netizens’ sentimental changes during different periods in a day.

Results:

Overall, negative emotions like surprise, fear, and anger are the salient emotions on the social media platform. Milestone events, such as the confirmation of human-to-human transmission, etc., are the primary events that ignited the emotions. Emotions varied within a day. Although all emotions are more prevalent in the afternoon and night, fear and anger are more dominant in the morning and afternoon, while depression is more salient during the night.

Conclusions:

Milestone events during the pandemic are the primary events that ignited the citizens’ emotions. In addition, the emotions varied within a day. Better-tailored mental health services and interventions could be conducted accordingly.


 Citation

Please cite as:

Yu S, Eisenman D, Han Z

Temporal Dynamics of Emotions during the COVID-19 Pandemic at the Center of Outbreak: A Sentimental Analysis of Weibo Tweets from Wuhan

JMIR Preprints. 10/01/2021:27078

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.