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Crowdsourcing Hazardous Weather Reports from Citizens via Twittersphere under the Short Warning Lead Times of EF5 Intensity Tornado Conditions

机译:在EF5强度龙卷风条件短预警提前期的情况下,通过Twittersphere将市民的危险天气报告众包。

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The May 20 2013 tornado in Oklahoma has demonstrated the short warning lead times of EF5 intensity tornadoes, even with the integrated Next Generation Weather Surveillance Doppler Radar network, remain a challenge both for governments responsible for early warnings and citizens who need to respond appropriately. Although research on government use of social media for adaptable disaster response is emerging, little is known about social media-mediated early tornado warnings and crowd sourcing in the e-government literature. This research, therefore, aims to reduce this gap in the literature through a case study of the National Weather Service's experimental use of Twitter for crowd sourcing hazardous weather reports from citizens during and in the immediate aftermath of the May 20 tornado. Our social network analysis and content analysis results found evidence for value of the #okwx Twitter sphere to tie closely the government and volunteer citizen tornado watchers and enable multi-directional interactive conversations and crowdsourcing.
机译:2013年5月20日在俄克拉荷马州的龙卷风表明,即使集成了下一代气象监视多普勒雷达网络,EF5强度龙卷风的预警提前期仍然对负责预警的政府和需要适当应对的公民仍然构成挑战。尽管有关政府使用社交媒体进行适应性灾难响应的研究正在兴起,但在电子政务文献中,人们对社交媒体介导的龙卷风预警和群众寻源知之甚少。因此,本研究旨在通过对国家气象局在5月20日龙卷风期间及之后立即从公众实验性地使用Twitter进行市民获取危险天气报告的案例研究,来缩小文献中的差距。我们的社交网络分析和内容分析结果发现了#okwx Twitter领域的价值的证据,该价值与政府和志愿者公民龙卷风观察者紧密联系在一起,并实现了多方向的交互式对话和众包。

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