Exploring maintenance practices in crowd-mapping

Conference paper


Quattrone, G., Dittus, M. and Capra, L. 2016. Exploring maintenance practices in crowd-mapping. Hypertext 2016: 27th ACM Conference on Hypertext and Social Media. Halifax, Nova Scotia, Canada 10 - 13 Jul 2016 Association for Computing Machinery (ACM). pp. 285-290 https://doi.org/10.1145/2914586.2914621
TypeConference paper
TitleExploring maintenance practices in crowd-mapping
AuthorsQuattrone, G., Dittus, M. and Capra, L.
Abstract

Crowd-mapping is a form of collaborative work that empowers users to gather and share geographic knowledge. OpenStreetMap is one of the most successful examples of such paradigm, where the goal of building a global map of the world is collectively performed by over 2M contributors. Despite geographic information being intrinsically evolving, little research has so far gone into analysing maintenance practices in these domains. In this paper, we perform a preliminary exploration to quantitatively capture maintenance dynamics in geographic crowd-sourced datasets, in terms of: the extent to which different maintenance actions are taking place, the type of spatial information that is being maintained, and who engages in these practices. We apply this method to 117 countries in OSM, over one year of mapping activity. Our findings reveal that, although maintenance practices vary substantially from country to country in terms of how widespread they are, strong commonalities exist in terms of what metadata is being maintained and by whom.

ConferenceHypertext 2016: 27th ACM Conference on Hypertext and Social Media
Page range285-290
ISBN
Hardcover9781450342476
PublisherAssociation for Computing Machinery (ACM)
Publication dates
Print10 Jul 2016
Publication process dates
Deposited06 Jul 2018
Accepted01 Apr 2016
Output statusPublished
Accepted author manuscript
Copyright Statement

© ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in HT '16 Proceedings of the 27th ACM Conference on Hypertext and Social Media, http://dx.doi.org/10.1145/10.1145/2914586.2914621

Digital Object Identifier (DOI)https://doi.org/10.1145/2914586.2914621
LanguageEnglish
Book titleHT '16 Proceedings of the 27th ACM Conference on Hypertext and Social Media
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