Suppr超能文献

利用社交信息网络建立灾害恢复能力:德克萨斯州休斯敦的微信社区在哈维飓风期间的情况。

Building disaster resilience using social messaging networks: the WeChat community in Houston, Texas, during Hurricane Harvey.

机构信息

Assistant Professor, College of Media and Communication, Texas Tech University, United States.

Associate Professor, Department of Communication, University at Buffalo, United States.

出版信息

Disasters. 2020 Oct;44(4):726-752. doi: 10.1111/disa.12388. Epub 2020 Mar 11.

Abstract

Analyses of disaster resilience have focused increasingly on the role of social capital and online social networks in recovery. This study complements this field of work by investigating three key issues. First, it examines how a social messaging application, WeChat, helped individuals to access and to mobilise three types of social capital-bonding, bridging, and linking-during Hurricane Harvey, a Category 4 storm that made landfall in Louisiana and Texas in the United States in August 2017, resulting in significant flooding and loss of life. Second, it pinpoints and assesses quantitatively how individuals' WeChat group usage and social capital influenced their post-disaster well-being. Third, it demonstrates how a minority and immigrant community in Houston, Texas, overcame the disadvantages commonly observed in other disaster research through the utilisation of social media. The findings of this study should aid governmental and community efforts to foster resilience in the face of natural and human-induced hazards.

摘要

灾难恢复能力的分析越来越关注社会资本和在线社交网络在恢复中的作用。本研究通过调查三个关键问题来补充这一领域的工作。首先,它考察了社交消息应用程序微信如何帮助个人在 2017 年 8 月美国路易斯安那州和德克萨斯州登陆的四级风暴“哈维”飓风期间,获取和调动三种社会资本——黏合资本、桥接资本和联系资本。其次,它准确地指出并定量评估了个人的微信群体使用情况和社会资本如何影响他们的灾后幸福感。第三,它展示了德克萨斯州休斯顿的一个少数族裔和移民社区如何通过利用社交媒体克服了在其他灾难研究中常见的劣势。这项研究的结果应该有助于政府和社区努力培养面对自然和人为灾害的恢复能力。

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