Spatial, temporal, and content analysis of Twitter for wildfire hazards

Zheye Wang, Xinyue Ye () and Ming-Hsiang Tsou
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Zheye Wang: Kent State University
Xinyue Ye: Kent State University
Ming-Hsiang Tsou: San Diego State University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 83, issue 1, No 26, 523-540

Abstract: Abstract Social media data are increasingly being used for enhancing situational awareness and assisting disaster management. We analyzed the wildfire-related Twitter activities in terms of their attributes pertinent to space, time, content, and network, so as to gain insights into the usefulness of social media data in revealing situational awareness. Findings show that social media data can characterize the wildfire across space and over time, and thus are applicable to provide useful information on disaster situations. Second, people have strong geographical awareness during wildfire hazards and are interested in communicating situational updates related to wildfire damage (e.g., containment percentage and burned acres), wildfire response (e.g., evacuation), and appreciation to firefighters. Third, news media and local authorities are opinion leaders and play a dominant role in the wildfire retweet network.

Keywords: Social media; Disaster; Emergency management; Twitter; Wildfire; San Diego (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (16)

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DOI: 10.1007/s11069-016-2329-6

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