Not at Home on the Range: Peer Production and the Urban/Rural Divide
Not on the map. Why?
Abstract (arXiv)
Wikipedia articles about places, OpenStreetMap features, and other forms of peer-produced content have become critical sources of geographic knowledge for humans and intelligent technologies. In this paper, we explore the effectiveness of the peer production model across the rural/urban divide, a divide that has been shown to be an important factor in many online social systems. We find that in both Wikipedia and OpenStreetMap, peer-produced content about rural areas is of systematically lower quality, is less likely to have been produced by contributors who focus on the local area, and is more likely to have been generated by automated software agents (i.e. bots). We then codify the systemic challenges inherent to characterizing rural phenomena through peer production and discuss potential solutions.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Aug 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 0; 2025: 3.
6 papers.
- 2021CASS: Towards Building a Social-Support Chatbot for Online Health Communitycited by 8
- 2025Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Modelscited by 7
- 2025WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editionscited by 3
- 2022Considerations for Multilingual Wikipedia Researchcited by 1
- 2022A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequalitycited by 1
- 2025Collective Narrative Grounding: Community-Coordinated Data Contributions to Improve Local AI Systemscited by 0
- 2025Collective Narrative Grounding: Community-Coordinated Data Contributions to Improve Local AI Systems5 Dec 2025
- 2025WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions30 May 2025
- 2025Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models16 Mar 2025
- 2022A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality29 Apr 2022
- 2022Considerations for Multilingual Wikipedia Research5 Apr 2022
- 2021CASS: Towards Building a Social-Support Chatbot for Online Health Community4 Jan 2021