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A Perceived Risk Index Leveraging Social Media Data: Assessing Severity of Fire on Microblogging
Cognitive Computation ( IF 5.4 ) Pub Date : 2024-04-10 , DOI: 10.1007/s12559-024-10266-4
Carmen De Maio , Giuseppe Fenza , Mariacristina Gallo , Vincenzo Loia , Alberto Volpe

Fires represent a significant threat to the environment, infrastructure, and human safety, often spreading rapidly with wide-ranging consequences such as economic losses and life risks. Early detection and swift response to fire outbreaks are crucial to mitigating their impact. While satellite-based monitoring is effective, it may miss brief or indoor fires. This paper introduces a novel Perceived Risk Index (PRI) that, complementing satellite data, leverages social media data to provide insights into the severity of fire events. In the light of the results of statistical analysis, the PRI incorporates the number of fire-related tweets and the associated emotional expressions to gauge the perceived risk. The index’s evaluation involves the development of a comprehensive system that collects, classifies, annotates, and correlates social media posts with satellite data, presenting the findings in an interactive dashboard. Experimental results using diverse datasets of real-fire tweets demonstrate an average best correlation of 77% between PRI and the brightness values of fires detected by satellites. This correlation extends to the real intensity of the corresponding fires, showcasing the potential of social media platforms in furnishing information for emergency response and decision-making. The proposed PRI proves to be a valuable tool for ongoing monitoring efforts, having the potential to capture data on fires missed by satellites. This contributes to the development to more effective strategies for mitigating the environmental, infrastructural, and safety impacts of fire events.



中文翻译:

利用社交媒体数据的感知风险指数:评估微博火灾的严重程度

火灾对环境、基础设施和人类安全构成重大威胁,往往迅速蔓延,造成广泛的后果,例如经济损失和生命风险。对火灾爆发的早期发现和快速反应对于减轻其影响至关重要。虽然基于卫星的监测很有效,但它可能会错过短暂的或室内的火灾。本文介绍了一种新颖的感知风险指数(PRI),该指数补充了卫星数据,利用社交媒体数据来提供对火灾事件严重程度的见解。根据统计分析结果,PRI 结合了与火灾相关的推文数量和相关情绪表达来衡量感知风险。该指数的评估涉及开发一个综合系统,该系统收集、分类、注释社交媒体帖子并将其与卫星数据关联起来,并在交互式仪表板中呈现调查结果。使用不同的真实火灾推文数据集进行的实验结果表明,PRI 与卫星检测到的火灾亮度值之间的平均最佳相关性为 77%。这种相关性延伸到相应火灾的真实强度,展示了社交媒体平台在为应急响应和决策提供信息方面的潜力。事实证明,拟议的 PRI 是持续监测工作的一个有价值的工具,有可能捕获卫星遗漏的火灾数据。这有助于制定更有效的策略来减轻火灾事件对环境、基础设施和安全的影响。

更新日期:2024-04-10
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