Analysis of online public opinion for public crisis events: a case study of the COVID-19 pandemic in Shanghai

Key Points

• This analysis aims to explore online public opinion in response to public crisis events, specifically during the COVID-19 pandemic in Shanghai.
• Utilized data mining techniques to collect and analyze online public sentiments from social media platforms.
• Focused on crisis events related to public health, particularly the COVID-19 situation.
• Examined patterns of information dissemination across various online channels.
• Identified distinct trends in public opinion shifts throughout the COVID-19 event.
• Found significant correlations between social media discourse and public response to health guidelines.
• Revealed that timely information dissemination improved public compliance with health measures.

Abstract