Rapid impact assessment in the immediate aftermath of a natural disaster is essential to provide adequate information to international organisations, local authorities, and first responders. Social media can support emergency response with evidence-based content posted by citizens and organisations during ongoing events. In the paper, we propose TriggerCit: an early flood alerting tool with a multilanguage approach focused on timeliness and geolocation. The paper focuses on assessing the reliability of the approach as a triggering system, comparing it with alternative sources for alerts, and evaluating the quality and amount of complementary information gathered. Geolocated visual evidence extracted from Twitter by TriggerCit was analysed in two case studies on floods in Thailand and Nepal in 2021.
翻译:在自然灾害发生后立即进行快速影响评估,对于向国际组织、地方当局和第一反应者提供充分信息至关重要。社交媒体可以支持紧急反应,公民和组织在不断发生的事件中以证据为基础张贴内容。在文件中,我们提议TrigggerCit:早期洪水警报工具,采用多语种方法,侧重于及时性和地理定位。文件侧重于评估该方法作为触发系统的可靠性,将其与其他警报来源进行比较,并评估所收集的补充信息的质量和数量。2021年,TrigggerCit从Twitter上提取的地理定位视觉证据在泰国和尼泊尔的洪水案例研究中进行了分析。