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Quantifying gendered participation in OpenStreetMap: responding to theories of female (under) representation in crowdsourced mapping

Gardner, Z.; Mooney, P.; De Sabbata, S.; Dowthwaite, L.

Authors

Z. Gardner

P. Mooney

S. De Sabbata



Abstract

This paper presents the results of an exploratory quantitative analysis of gendered contributions to the online mapping project OpenStreetMap (OSM), in which previous research has identified a strong male participation bias. On these grounds, theories of representation in volunteered geographic information (VGI) have argued that this kind of crowdsourced data fails to embody the geospatial interests of the wider community. The observed effects of the bias however, remain conspicuously absent from discourses of VGI and gender, which proceed with little sense of impact. This study addresses this void by analysing OSM contributions by gender and thus identifies differences in men’s and women’s mapping practices. An online survey uniquely captured the OSM IDs as well as the declared gender of 293 OSM users. Statistics relating to users’ editing and tagging behaviours openly accessible via the ‘how did you contribute to OSM’ wiki page were subsequently analysed. The results reveal that volumes of overall activity as well editing and tagging actions in OSM remain significantly dominated by men. They also indicate subtle but impactful differences in men’s and women’s preferences for modifying and creating data, as well as the tagging categories to which they contribute. Discourses of gender and ICT, gender relations in online VGI environments and competing motivational factors are implicated in these observations. As well as updating estimates of the gender participation bias in OSM, this paper aims to inform and stimulate subsequent discourses of gender and representation towards a new rationale for widening participation in VGI.

Citation

Gardner, Z., Mooney, P., De Sabbata, S., & Dowthwaite, L. (2020). Quantifying gendered participation in OpenStreetMap: responding to theories of female (under) representation in crowdsourced mapping. GeoJournal, 85(6), 1603-1620. https://doi.org/10.1007/s10708-019-10035-z

Journal Article Type Article
Acceptance Date Jun 7, 2019
Online Publication Date Jun 29, 2019
Publication Date 2020-12
Deposit Date Jul 15, 2019
Publicly Available Date Jul 15, 2019
Journal GeoJournal
Print ISSN 0343-2521
Electronic ISSN 1572-9893
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 85
Issue 6
Pages 1603-1620
DOI https://doi.org/10.1007/s10708-019-10035-z
Keywords Volunteered geographic information, Crowdsourced mapping: gendern biases, OpenStreetMap, Feminist GIS, Critical GIS
Public URL https://nottingham-repository.worktribe.com/output/2307403
Publisher URL https://link.springer.com/article/10.1007/s10708-019-10035-z

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