A Quantitative Approach to Identifying Emergent Editor Roles in Open Street Map

要旨

The objective of this study was to investigate and classify the roles, or distinct contribution styles, adopted by participants within the OpenStreetMap (OSM) community. Using a quantitative analysis of mapping behaviors, we devised a methodology to identify distinct features associated with specific roles. We used an unsupervised clustering approach and unveiled eight discernible roles, or types of mapper in OSM. Each role displays specific patterns of mapping behaviors related to their habits and preferences for adding or editing map objects over time. We validated our roles, in part, using known affiliations with humanitarian and corporate organizations. Using these roles, we examine community composition and contributor retention over time. Our contributions include applying existing methods on the analysis of contributor behavior in online platforms to OSM, the identification of eight roles that can guide future research and design within OSM, and further understanding into the overall trajectory of the world's largest geospatial peer production community.

著者
Bowen Zhang
University of Toronto, Toronto, Ontario, Canada
Jennings Anderson
Meta Platforms, Inc., Salem, Oregon, United States
Dipto Sarkar
Carleton University, Ottawa, Ontario, Canada
Robert Soden
University of Toronto, Toronto, Ontario, Canada
論文URL

https://doi.org/10.1145/3613904.3641963

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Remote Presentations: Highlight on Communities and Online Platforms

Remote Sessions
7 件の発表
2024-05-13 18:00:00
2024-05-14 02:20:00