University of Florida, Gainesville, Florida. ORCID: https://orcid.org/0000-0002-4407-2992.
J Emerg Manag. 2024 Jan-Feb;22(1):89-99. doi: 10.5055/jem.0781.
This study explores disaster responses across the United States for Winter Storm Jaxon in 2018 by utilizing demographic and sentiment analysis for Twitter®. This study finds that people show highly fluctuated responses across the study periods and highest natural sentiment, followed by positive sentiment and negative sentiment. Also, some sociodemographic and Twitter variables, such as gender and long text, are strongly related to human sentiment, whereas other sociodemographic and Twitter variables, such as age and the higher number of retweets, are not associated with it. The results show that governments and disaster experts should consider a multitude of sociodemographic and Twitter variables to understand human responses and sentiment during natural disaster events.
本研究利用 Twitter® 的人口统计学和情感分析,探讨了 2018 年美国冬季风暴“杰克斯顿”的灾害应对情况。研究发现,人们在整个研究期间的反应高度波动,表现出最高的自然情绪,其次是积极情绪和消极情绪。此外,一些社会人口统计学和 Twitter 变量,如性别和长文本,与人类情感密切相关,而其他社会人口统计学和 Twitter 变量,如年龄和更多的转发,与情感没有关联。研究结果表明,政府和灾害专家应该考虑多种社会人口统计学和 Twitter 变量,以了解自然灾害事件中人类的反应和情绪。