Refining a coding scheme to identify actionable information on social media

Jess Kropczynski, Shane Halse, Doina Caragea, Rob Grace, Nathan Elrod, Cornelia Caragea, Andrea Tapia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper describes the use of a previously established qualitative coding scheme developed through a design workshop with public safety professionals, and applied the schema to social media data collecting during crises. The intention of applying this scheme to existing crisis datasets was to acquire training data for machine learning. Applying the coding scheme to social media data revealed that additional subcategories of the coding scheme are necessary to satisfy information requirements necessary to dispatch first responders to an incident. The coding scheme was refined and adapted into a set of instructions for qualitative coders on Amazon Mechanical Turk. The contribution of this work is a coding scheme that is more directly related to the information needs of public safety professionals. Implications of early results using the refined coding scheme are discussed in terms of proposed automated methods to identify actionable information for dispatch of first responders during emergency incidents.

Original languageEnglish
Title of host publicationISCRAM 2019 - Proceedings
Subtitle of host publication16th International Conference on Information Systems for Crisis Response and Management
EditorsZeno Franco, Jose J. Gonzalez, Jose H. Canos
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages916-922
Number of pages7
ISBN (Electronic)9788409104987
StatePublished - 2019
Event16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019 - Valencia, Spain
Duration: May 19 2019May 22 2019

Publication series

NameProceedings of the International ISCRAM Conference
Volume2019-May
ISSN (Electronic)2411-3387

Conference

Conference16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019
Country/TerritorySpain
CityValencia
Period05/19/1905/22/19

Keywords

  • Dispatch
  • Public Safety Answering Point (PSAP)
  • Qualitative Coding
  • Social Media

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