Validating the Voice of the Crowd During Disasters

  • John Noel C. Victorino
  • Maria Regina Justina E. Estuar
  • Alfredo Mahar Francisco A. Lagmay
Conference paper

DOI: 10.1007/978-3-319-39931-7_29

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9708)
Cite this paper as:
Victorino J.N.C., Estuar M.R.J.E., Lagmay A.M.F.A. (2016) Validating the Voice of the Crowd During Disasters. In: Xu K., Reitter D., Lee D., Osgood N. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2016. Lecture Notes in Computer Science, vol 9708. Springer, Cham

Abstract

Since the late 1990 s, the intensity of tropical cyclones have increased over time, causing massive flooding and landslides in thePhilippines. Nationwide Operational Assessment of Hazards or Project NOAH was put in place as a responsive program for disaster prevention and mitigation. Part of the solution was to set up nababaha.com(www.nababaha.com) and FloodPatrol which provided the public with a web and mobile phone based application for reporting flood height. This paper addresses the problem of providing an interactive and visual method of validating crowdsourced flood reports for the purpose of helping frontline responders and decision makers in disaster management. The approach involves finding the neighborhood of the crowdsourced flood report and weather station data based on their geospatial proximity and time record. A report is classified as correct if it falls within the obtained confidence interval of the crowdsourced flood report neighborhood. The neighborhood of crowdsourced flood reports are correlated with weather station data, which serves as the ground truth in the validation process. Use cases are presented to provide examples of automatic validation. The results of this study is beneficial to disaster management coordinators, first-line responders, government unit officials and citizens. The system provides an interactive approach in validating reports from the crowd, aside from providing an avenue to report flood events in an area. Overall, this contributes to the study of how crowdsourced reports are verified and validated.

Keywords

Crowdsourcing Validation Verification Disaster informatics 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • John Noel C. Victorino
    • 1
  • Maria Regina Justina E. Estuar
    • 1
  • Alfredo Mahar Francisco A. Lagmay
    • 2
  1. 1.Ateneo Social Computing Science Laboratory, Department of Information Systems and Computer ScienceAteneo de Manila UniversityQuezon CityPhilippines
  2. 2.DOST Project NOAH, National Institute of Geological SciencesUniversity of the PhilippinesQuezon CityPhilippines

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