用社交媒体和AI分析地震后民众反馈，提升应急响应效率。
Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts
- 分析8900条地震相关社交互动，挖掘实时灾情信息。
- 7天内收集2920条帖子与5980条回复，验证平台时效性。
- 适合灾害管理、公共安全与人工智能交叉研究者参考。
将社交媒体与人工智能（AI）融入灾害管理，特别是在地震响应中，标志着应急管理体系的深刻变革。在数字时代，实时信息传播达到前所未有的水平，社交媒体平台已成为危机期间的关键沟通渠道。这一转变使传统的集中式应急服务演变为更去中心化、参与度更高的灾害态势感知模式。本研究对2024年2月2日俄克拉荷马州发生5.1级地震后的8,900条社交媒体互动进行了实验分析，包括2,920条原始发帖与5,980条回复，时间覆盖灾后即时阶段及随后七天。结果表明，社交媒体可作为有效的实时态势感知工具，向公众与决策部门传递关键信息，显著提升应急响应能力。
原文摘要 · Abstract (English)
The integration of social media and artificial intelligence (AI) into disaster management, particularly for earthquake response, represents a profound evolution in emergency management practices. In the digital age, real-time information sharing has reached unprecedented levels, with social media platforms emerging as crucial communication channels during crises. This shift has transformed traditional, centralized emergency services into more decentralized, participatory models of disaster situational awareness. Our study includes an experimental analysis of 8,900 social media interactions, including 2,920 posts and 5,980 replies on X (formerly Twitter), following a magnitude 5.1 earthquake in Oklahoma on February 2, 2024. The analysis covers data from the immediate aftermath and extends over the following seven days, illustrating the critical role of digital platforms in modern disaster response. The results demonstrate that social media platforms can be effectively used as real-time situational awareness tools, delivering critical information to society and authorities during emergencies.
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