Title :
Crowdsourcing Hazardous Weather Reports from Citizens via Twittersphere under the Short Warning Lead Times of EF5 Intensity Tornado Conditions
Author :
Chatfield, Akemi Takeoka ; Brajawidagda, Uuf
Author_Institution :
Univ. of Wollongong, Wollongong, NSW, Australia
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.
Keywords :
Doppler radar; alarm systems; emergency management; government data processing; next generation networks; social networking (online); weather forecasting; EF5 intensity tornado conditions; EF5 intensity tornadoes; National Weather Service; Oklahoma; Twitter; adaptable disaster response; content analysis; crowd sourcing; crowdsourcing hazardous weather reports; e-government literature; multidirectional interactive conversations; next generation weather surveillance Doppler radar network; short warning lead times; social media-mediated early tornado warnings; social network analysis; twittersphere; Cities and towns; Government; Hazards; Media; Meteorology; Tornadoes; Twitter; Twittersphere; citizen engagement; crowdsourcing; early tornado warning; social media;
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
DOI :
10.1109/HICSS.2014.281