Sutton, D., Solomon, G. , Yuan, X., Polat Kayali, M. , Gardner, Z. and Basiri, A. (2023) Assessing the Relationship Between Socio-Demographic Characteristics and OpenStreetMap Contributor Behaviours. In: 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data (GeoSocial 2023), Hamburg, Germany, 13-16 Nov 2023, pp. 5-11. ISBN 9798400703546 (doi: 10.1145/3615892.3628477)
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Abstract
'Volunteered Geographic Information' (VGI) has particular importance - in part - for its democratisation of geographic information. However, some recent research has suggested that despite being publicly open, several successful VGI platforms have under-representation of particular socio-demographic groups, which may lead to biases in the types of information contributed. This paper examines the relationship between demographic characteristics and user contributions to OpenStreetMap (OSM), one of the most successful examples of a project reliant on VGI. It demonstrates statistically significant differences in the information provided by users of different genders, ages, and education-levels. Differences between the demographic characteristics of OSM contributors and the underlying population are therefore likely to be reflected in the VGI contained in OSM.
| Item Type: | Conference Proceedings |
|---|---|
| Additional Information: | The authors received the support from the UK Research and Innovation Future Leaders Fellowship “Indicative Data: Extracting 3D Models of Cities from Unavailability and Degradation of Global Navigation Satellite Systems (GNSS)”, grant number MR/S01795X/2, the Republic of Turkey Ministry of National Education Scholarship Program, and China Scholarship Council. |
| Keywords: | Contributor bias, crowdsourcing, volunteered geographic Information, Gini-Simpson index, OpenStreetMap. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Polat Kayali, Merve and Yuan, Xinyi and Sutton, Dominick and Basiri, Professor Ana and Solomon, Dr Guy |
| Authors: | Sutton, D., Solomon, G., Yuan, X., Polat Kayali, M., Gardner, Z., and Basiri, A. |
| College/School: | College of Science and Engineering College of Science and Engineering > School of Geographical and Earth Sciences |
| ISBN: | 9798400703546 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data (GeoSocial '23), pp. 5-11 |
| Publisher Policy: | Reproduced with the permission of the publisher |
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