Public Reaction on Social Media During COVID-19: A Comparison Between Twitter and Weibo

Research output: Chapter in Book/Report/Conference proceedingConference contribution


COVID-19 has been spreading across the world starting from early 2020, and there are numerous and varied discussions on social media platforms related to the COVID-19 outbreak. In this study, we analyzed and compared the data on Twitter and Weibo at different times based on the public’s understanding of COVID-19 to ultimately understand the characteristics of social media reaction in U.S. and in China during the pandemic. Results show that both similarities and differences existed when comparing the public reaction on social media in the U.S. and in China. The study suggests that data from social media could be used as a good reflection of the public’s reaction, especially in a pandemic like COVID-19. It is important for the government to understand people’s timely reaction during the pandemic in order to ensure the authorities are on the right direction to provide services and accurate information to the public.

Original languageEnglish (US)
Title of host publicationIntelligent Computing - Proceedings of the 2021 Computing Conference
EditorsKohei Arai
Number of pages14
ISBN (Print)9783030801182
StatePublished - 2022
EventComputing Conference, 2021 - Virtual, Online
Duration: Jul 15 2021Jul 16 2021

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceComputing Conference, 2021
CityVirtual, Online


  • Data analytics
  • Social media
  • Social response
  • COVID-19

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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