Mass participation during emergency response: event-centric crowd-sourcing in humanitarian mapping

Conference paper


Dittus, M., Quattrone, G. and Capra, L. 2017. Mass participation during emergency response: event-centric crowd-sourcing in humanitarian mapping. Lee, C. and Poltrock, S. (ed.) CSCW 2017. Portland, Oregon, United States 25 Feb - 01 Mar 2017 ACM. pp. 1290-1303 https://doi.org/10.1145/2998181.2998216
TypeConference paper
TitleMass participation during emergency response: event-centric crowd-sourcing in humanitarian mapping
AuthorsDittus, M., Quattrone, G. and Capra, L.
Abstract

Crowdsourcing platforms have become important information providers after disaster events. While they can build on some prior experiences, it is not yet well understood how contributor capacity for such activities is constituted. To what extent are initiatives building a dormant task force that springs to action when it is needed? Alternatively, do they mainly rely on the recruitment of new contributors during disaster events, possibly at the expense of contribution quality? We seek to develop a better understanding of these relationships, using the example of the Humanitarian OpenStreetMap Team. In a large-scale quantitative study, we assess the outcomes of 26 campaigns with almost 20,000 participants. We find that event-centric campaigns can be significant recruiting and reactivation events, however that this is not guaranteed. Our analytical methods provide a means of interpreting key differences in outcomes. We close with recommendations relating to the promotion and coordination of event-centric campaigns in HOT and related platforms.

LanguageEnglish
ConferenceCSCW 2017
Page range1290-1303
EditorsLee, C. and Poltrock, S.
ISBN
Hardcover9781450343350
PublisherACM
Publication dates
Print25 Feb 2017
Publication process dates
Deposited12 Jan 2021
Accepted01 Nov 2016
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1145/2998181.2998216
Book titleProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
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