Distance and attraction: Gravity models for geographic content production

Jacob Thebault-Spieker; Aaron Halfaker; Loren G Terveen; Brent Hecht

doi:10.1145/3173574.3173722

Distance and attraction: Gravity models for geographic content production

Jacob Thebault-Spieker, Aaron Halfaker, Loren G Terveen, Brent Hecht

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

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
DOIs	https://doi.org/10.1145/3173574.3173722
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

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	2018-April

Other

Other	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Country/Territory	Canada
City	Montreal
Period	4/21/18 → 4/26/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.

Keywords

EBird
Geographic HCI
Gravity models
OpenStreetMap
Spatial interaction models
Volunteered Geographic Information (VGI)
Wikipedia

Publisher link

10.1145/3173574.3173722

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Thebault-Spieker, J., Halfaker, A., Terveen, L. G., & Hecht, B. (2018). Distance and attraction: Gravity models for geographic content production. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3173574.3173722

Distance and attraction: Gravity models for geographic content production. / Thebault-Spieker, Jacob; Halfaker, Aaron; Terveen, Loren G et al.
CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Thebault-Spieker, J, Halfaker, A, Terveen, LG & Hecht, B 2018, Distance and attraction: Gravity models for geographic content production. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Canada, 4/21/18. https://doi.org/10.1145/3173574.3173722

Thebault-Spieker J, Halfaker A, Terveen LG, Hecht B. Distance and attraction: Gravity models for geographic content production. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery. 2018. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3173574.3173722

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Distance and attraction: Gravity models for geographic content production

Abstract

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