Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 7, 2025SustainabilityOpen Access

Spatiotemporal Distribution of Cross-Platform Public Opinion in the 2023 Dezhou Earthquake: Implications for Disaster-Resilient Emergency Management

View Full Paper
Ask AI
Bookmark
Share

Authors

CLChen LiXWXurui Wang

Discussion

Loading...

Member takes

Overview

Analysis of public opinion on social media platforms post-Dezhou earthquake reveals trends for disaster-resilient management.

Key Points

  • The analysis reveals spatial patterns of public concern centered around the earthquake's epicenter.
  • An examination of 28,557 posts across major social media platforms highlights cross-platform differences.
  • Employing Convolutional Neural Networks, this study identifies emotional and thematic patterns in public opinion.
  • Findings support a framework for disaster-resilient emergency management through informed risk communication.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/694020ee2d562116f28fb162https://doi.org/10.3390/su172410937
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Evolution and spatiotemporal analysis of earthquake public opinion based on social media data2024 · 10 citations
  2. 2Temporal and Spatial Analysis of Public Emotion on Social Media During Earthquake Disaster-A Case Study of Jishishan Earthquake in 2023.2026 · 2 citations
  3. 3Dynamic Associations Between Public Risk Perception and Behavioral Responses on Weibo During the 2023 Beijing–Tianjin–Hebei Extreme Rainfall Event2026
  4. 4Public Response and Emotional Evolution in Extreme Precipitation Events Based on Social Media Big Data: A Case Study of “7·31” Heavy Rain in Beijing in 20232026
  5. 5Social Computing for Post-Earthquake Vulnerability and Resilience Assessment2026