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Information Systems Frontiers
Published in: Information Systems Frontiers 4/2018

14-08-2017

Participation Patterns and Reliability of Human Sensing in Crowd-Sourced Disaster Management

Authors: Robert I. Ogie, Hugh Forehead, Rodney J. Clarke, Pascal Perez

Published in: Information Systems Frontiers | Issue 4/2018

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Abstract

Over the last ten years, there has been a significant increase in crowd-sourcing applications for disaster management. Their success depends heavily on the behaviour of social media users, acting as human sensors during disaster monitoring and emergency response. Unlike their technological counterparts, human sensors are complex social entities, contributing in different ways to their collective task and creating varying participation patterns through social media. Failing to understand these participation patterns limits our capacity to evaluate the reliability of human sensing in different contexts. Based on an analysis of flood-related information contributed by Twitter users in Jakarta during the 2014/2015 and 2015/2016 monsoonal seasons, this study establishes four categories of human sensors and their respective levels of reliability for disaster management. The results have significant implications for how we frame expectations and develop reliance on the use of social media for disaster management. Importantly, the results will serve as a useful guide for understanding levels of incentive that may be required to motivate members of the different categories of social media users during emergencies and disasters.
previous article Social Roles and Consequences in Using Social Media in Disasters: a Structurational Perspective
next article Institutional vs. Non-institutional use of Social Media during Emergency Response: A Case of Twitter in 2014 Australian Bush Fire

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Metadata
Title
Participation Patterns and Reliability of Human Sensing in Crowd-Sourced Disaster Management
Authors
Robert I. Ogie
Hugh Forehead
Rodney J. Clarke
Pascal Perez
Publication date
14-08-2017
Publisher
Springer US
Published in
Information Systems Frontiers / Issue 4/2018
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-017-9790-y

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