Insight into public sentiment and demand in China's public health emergency response: a weibo data analysis.

ABSTRACT:

Background

During the COVID-19 pandemic, public sentiment and demands have been prominently reflected on social media platforms like Weibo. Understanding these sentiments and demands is crucial for governments, health officials, and policymakers to make effective responses and adjustments.

Objective

The study aims to analyze public sentiment and identify key demands concerning COVID-19 policies and social issues using Weibo data, providing insights to improve China's policies and legal systems in public health emergencies.

Methods

The study used Python tools to collect public opinion data from Weibo regarding policy adjustments, social issues, and livelihood concerns. A total of 50,249 valid comments on 100 blog posts were collected from December 2019 to October 2023

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11983825 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature