# Not at Home on the Range: Peer Production and the Urban/Rural Divide

arXiv: https://arxiv.org/abs/1908.10954 · HTML: https://mlsanity.com/paper/1908.10954/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Aug 2019.

## Built on by (most cited first, 6 of 6)

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- [WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions](https://mlsanity.com/paper/2505.24195/) (2025)
- [Considerations for Multilingual Wikipedia Research](https://mlsanity.com/paper/2204.02483/) (2022)
- [A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality](https://mlsanity.com/paper/2204.13842/) (2022)
- [Collective Narrative Grounding: Community-Coordinated Data Contributions to Improve Local AI Systems](https://mlsanity.com/paper/2601.04201/) (2025)

## 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.