Volunteered Geographic Information (VGI), such as contributions to OpenStreetMap and geotagged Wikipedia articles, is often assumed to be produced locally. However, recent work has found that peer-produced VGI is frequently contributed by non-locals. We evaluate this approach across hundreds of content types from Wikipedia, OpenStreetMap, and eBird, and show that these models can describe more than 90% of "VGI flows" for some content types. Our findings advance geographic HCI theory, suggesting some spatial mechanisms underpinning VGI production. We also discuss design implications that can help (a) human and algorithmic consumers of VGI evaluate the perspectives it contains and (b) address geographic coverage variations in these platforms (e.g. via more effective volunteer recruitment strategies).
|Original language||English (US)|
|Title of host publication||CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems|
|Subtitle of host publication||Engage with CHI|
|Publisher||Association for Computing Machinery|
|ISBN (Electronic)||9781450356206, 9781450356213|
|State||Published - Apr 20 2018|
|Event||2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada|
Duration: Apr 21 2018 → Apr 26 2018
|Name||Conference on Human Factors in Computing Systems - Proceedings|
|Other||2018 CHI Conference on Human Factors in Computing Systems, CHI 2018|
|Period||4/21/18 → 4/26/18|
Bibliographical noteFunding Information:
This research was supported by NSF grants IIS-1707319, IIS-1707296, IIS-0964695, IIS-1111201, and IIS-1218826. This research was also supported by the Wikimedia Foundation.
© 2018 Association for Computing Machinery.
- Geographic HCI
- Gravity models
- Spatial interaction models
- Volunteered Geographic Information (VGI)