Misinformation debunking and cross-platform information sharing through Twitter during Hurricanes Harvey and Irma: a case study on shelters and ID checks
Misinformation debunking and cross-platform information sharing through Twitter during Hurricanes Harvey and Irma: a case study on shelters and ID checks
复制标题
DOI：
10.1007/s11069-020-04016-6
复制
发表时间：
2020-05-27
期刊：
影响因子：
3.7
通讯作者：
Zhuang, Jun
中科院分区：
文献类型：
--
作者：
Hunt, Kyle;Wang, Bairong;Zhuang, Jun
随着互联网和社交媒体越来越多地用于分享突发新闻和重要更新，研究危机事件中在线用户的行为具有很大的动力。在线获取信息的最大问题之一是这些内容的真实性。鉴于这种脆弱性，错误信息在网上传播时成为非常危险和真实的威胁。本研究旨在探讨灾害期间错误信息传播时，如何揭露错误信息，并填补跨平台信息共享的研究空白。在2017年飓风哈维和飓风厄玛中传播的虚假谣言“移民身份在避难所被检查”，本文基于12，900条推文进行了分析。通过研究数千个帐户所做的谣言控制工作，我们发现Twitter用户对来自经过验证的Twitter帐户的推文的响应和互动最多，特别是政府组织。来源分析的结果显示，大多数在帖子中使用URL的Twitter用户正在使用URL中的信息来帮助揭穿虚假谣言。在分析URL和域名时，最常引用的信息来自新闻机构。本文提供了新的见解，通过社会媒体在自然灾害期间的谣言控制工作，也是信息来源和共享行为，用户在揭穿虚假谣言。
As the internet and social media continue to become increasingly used for sharing breaking news and important updates, it is with great motivation to study the behaviors of online users during crisis events. One of the biggest issues with obtaining information online is the veracity of such content. Given this vulnerability, misinformation becomes a very dangerous and real threat when spread online. This study investigates misinformation debunking efforts and fills the research gap on cross-platform information sharing when misinformation is spread during disasters. The false rumor "immigration status is checked at shelters" spread in both Hurricane Harvey and Hurricane Irma in 2017 and was analyzed in this paper based on a collection of 12,900 tweets. By studying the rumor control efforts made by thousands of accounts, we found that Twitter users respond and interact the most with tweets from verified Twitter accounts, and especially government organizations. Results on sourcing analysis show that the majority of Twitter users who utilize URLs in their postings are employing the information in the URLs to help debunk the false rumor. The most frequently cited information comes from news agencies when analyzing both URLs and domains. This paper provides novel insights into rumor control efforts made through social media during natural disasters and also the information sourcing and sharing behaviors that users exhibit during the debunking of false rumors.