Exploring maintenance practices in crowd-mapping

Quattrone, Giovanni ORCID logoORCID: https://orcid.org/0000-0001-9219-8437, Dittus, Martin and Capra, Licia (2016) Exploring maintenance practices in crowd-mapping. HT '16 Proceedings of the 27th ACM Conference on Hypertext and Social Media. In: Hypertext 2016: 27th ACM Conference on Hypertext and Social Media, 10-13 July 2016, Halifax, Nova Scotia, Canada. ISBN 9781450342476. [Conference or Workshop Item] (doi:10.1145/2914586.2914621)

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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.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 24524
Notes on copyright: © 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
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Depositing User: Giovanni Quattrone
Date Deposited: 06 Jul 2018 17:49
Last Modified: 29 Nov 2022 21:44
URI: https://eprints.mdx.ac.uk/id/eprint/24524

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