Applying content and semantic network analysis research methodologies, this study examined FEMA’s national and regional Twitter account posts during the historic 2017 hurricane season and argues for the expanded use of the Crisis and Emergency Risk Communication (CERC) model in researching risk and crisis communication during natural disasters. Messaging content was compared across time between FEMA and its regional counterparts during Harvey, Maria, Irma, and Nate. Results showed FEMA provided information to affected publics and bolstered its work using various Twitter features. Differences were identified in FEMA’s national and regional accounts’ posts. From hashtags to visual elements, FEMA's tweet content changed as the season progressed: more tweets included information about the impact of the storms; more tweets shared factual information from hurricane to hurricane; and the tweets tended to use more hashtags and account tags, which should broaden their audience.

本研究应用内容和语义网络分析研究方法，检查了 2017 年历史性飓风季节期间 FEMA 的国家和地区 Twitter 帐户帖子，并主张扩大使用危机和紧急风险沟通 (CERC) 模型来研究自然灾害期间的风险和危机沟通。灾难。在 Harvey、Maria、Irma 和 Nate 期间，对 FEMA 与其区域对应机构之间的消息内容进行了跨时间比较。结果显示 FEMA 向受影响的公众提供信息，并使用各种 Twitter 功能支持其工作。在 FEMA 的国家和地区账户的职位上发现了差异。从主题标签到视觉元素，FEMA 的推文内容随着季节的进行而发生变化：更多推文包含有关风暴影响的信息；更多的推文分享了从飓风到飓风的真实信息；并且推文倾向于使用更多的主题标签和帐户标签，这应该会扩大他们的受众。