论文标题
从地理社交媒体内容中量化对自然灾害的社会情感弹性
Quantifying societal emotional resilience to natural disasters from geo-located social media content
论文作者
论文摘要
自然灾害可能会对社区的情感健康产生毁灭性和持久的影响。这些影响可能不平等地分布，比其他社区在更长的时间段内对某些社区的影响更大。在这里，我们分析了四起美国主要飓风的影响，即艾尔玛，哈维，佛罗伦萨和多利安对受影响社区和地区的情感福祉。我们表明，社区对飓风事件的情感反应可以从飓风之前，期间和之后的社交媒体内容中衡量。对于在美国进行登陆的每一次飓风，我们都会观察到飓风前后受影响地区的情感大幅下降，然后在1-2周内迅速返回到赫鲁里奇前基线。但是，一些社区的下降率明显不同，并恢复到以前的平衡水平。这表明从他们的在线情感反应的动态来衡量社区的情感韧性的可能性。
Natural disasters can have devastating and long-lasting effects on a community's emotional well-being. These effects may be distributed unequally, affecting some communities more profoundly and possibly over longer time periods than others. Here, we analyze the effects of four major US hurricanes, namely, Irma, Harvey, Florence, and Dorian on the emotional well-being of the affected communities and regions. We show that a community's emotional response to a hurricane event can be measured from the content of social media that its population posted before, during, and after the hurricane. For each hurricane making landfall in the US, we observe a significant decrease in sentiment in the affected areas before and during the hurricane followed by a rapid return to pre-hurricane baseline, often within 1-2 weeks. However, some communities exhibit markedly different rates of decline and return to previous equilibrium levels. This points towards the possibility of measuring the emotional resilience of communities from the dynamics of their online emotional response.
