Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia
| Autor: | Jürgen Pfeffer, Michael Kowalchuck, Peter M. Landwehr, Momin M. Malik, Kathleen M. Carley |
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| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Engineering 010504 meteorology & atmospheric sciences Emergency management Warning system business.industry Big data 0211 other engineering and technologies Public Health Environmental and Occupational Health Opinion leadership Poison control 02 engineering and technology Public relations Computer security computer.software_genre 01 natural sciences Preparedness Social media Safety Risk Reliability and Quality business Safety Research Social network analysis computer 0105 earth and related environmental sciences |
| Zdroj: | Safety Science. 90:48-61 |
| ISSN: | 0925-7535 |
| Popis: | Social media is playing a growing role in disaster management and response. Expectations are that such media can be critical for sending alerts, identifying critical needs, and focusing response. However, for social media to be used in that way, it will be necessary to understand how social media is used during normal, i.e., non-disaster periods. Herein we examine the use of a particular social media, Twitter, and assess its value for disaster management with a focus on planning and early warnings. Our focus is Padang Indonesia, and the potential use of Twitter to support tsunami warning and response. We assess alternative collection strategies and analyze Twitter usage under normal conditions and then use this information to identify the strengths and weaknesses of this data in supporting disaster planning and early warning in terms of coverage, spatio-temporal patterns, and identification of opinion leaders. We find that while one can potentially leverage Twitter for disaster management, careful collection, assessment, and coordination with official disaster Twitter sites and local on-scene Twitter opinion leaders will be critical from a preparedness and early warning perspective. Guidelines for harnessing Twitter data for such uses are provided. Language: en |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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