There's No Such Thing as the Perfect Map

Giovanni Quattrone A · Licia Capra · Pasquale De Meo

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Geographic Information Systems Studies Mobile Crowdsensing and Crowdsourcing Wikis in Education and Collaboration

Abstract

Crowd-sourcing has become a popular form of computer mediated collaborative work and OpenStreetMap represents one of the most successful crowd-sourcing systems, where the goal of building and maintaining an accurate global map of the world is being accomplished by means of contributions made by over 1.2M citizens. However, within this apparently large crowd, a tiny group of highly active users is responsible for the mapping of almost all the content. One may thus wonder to what extent the information being mapped is biased towards the interests and agenda of this group of users. In this paper, we present a method to quantitatively measure content bias in crowd-sourced geographic information. We then apply the method to quantify content bias across a three-year period of OpenStreetMap mapping in 40 countries. We find almost no content bias in terms of what is being mapped, but significant geographic bias; furthermore, we find that bias in terms of meticulousness varies with culture.

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References

2002Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations across Nations 2012CRITICAL QUESTIONS FOR BIG DATA 2007Citizens as sensors: the world of volunteered geography 2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets 2005Becoming Wikipedian 2010Quality Assessment of the French OpenStreetMap Dataset 2005Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know 2014Quality assessment for building footprints data on OpenStreetMap

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