The socio-environmental data explorer (SEDE): a social media–enhanced decision support system to explore risk perception to hazard events

Eric Shook, Victoria K. Turner

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Social media are increasingly recognized as a useful data source for understanding social response to hazard events in real time and in post-event analysis. This article establishes social media–enhanced decision support systems (SME-DSS) as a synergistic integration of social media and decision support systems (DSSs) to provide structured access to native, near real-time data from a large and diverse population to assess social response to social, environmental, and technological risk and hazard events. We introduce a prototype SME-DSS entitled socio-environmental data explorer (SEDE) to explore the opportunities and challenges of leveraging social media for decision support. We use a winter storm during 25–28 January 2015 that accumulated record amounts of snow along the East Coast of the United States as a case study to evaluate SEDE in helping assess social response to environmental risk and hazard events as well as evaluate social media as a theoretical component within the social amplification of risk framework (SARF) that serves as a theoretical foundation for SME-DSS.

Original languageEnglish (US)
Pages (from-to)427-441
Number of pages15
JournalCartography and Geographic Information Science
Volume43
Issue number5
DOIs
StatePublished - Oct 19 2016

Keywords

  • Social media
  • cyberGIS
  • decision support systems
  • social amplification of risk framework

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