Suppr超能文献

社交媒体的人口统计学和情感分析在灾害应对中的应用。

Social media-based demographic and sentiment analysis for disaster responses.

机构信息

University of Florida, Gainesville, Florida. ORCID: https://orcid.org/0000-0002-4407-2992.

出版信息

J Emerg Manag. 2024 Jan-Feb;22(1):89-99. doi: 10.5055/jem.0781.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验