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

Akemi Takeoka Chatfield · Uuf Brajawidagda

48 citations0/0 files storedHawaii International Conference on System Sciences (HICSS)

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Public Relations and Crisis Communication Disaster Management and Resilience E-Government and Public Services

Abstract

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.

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2010Pass It On?: Retweeting in Mass Emergency 2013Tsunami early warnings via Twitter in government: Net-savvy citizens' co-production of time-critical public information services 2013Twitter Early Tsunami Warning System: A Case Study in Indonesia's Natural Disaster Management 2012Twitter tsunami early warning network : a social network analysis of Twitter information flows 2009Automated Footprint Generation from Geotags with Kernel Density Estimation and Support Vector Machines

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