Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20228
Title: Not at Home on the Range: Peer Production and the Urban/Rural Divide
Authors: Johnson, Isaac
Lin, Yilun
Jia-Jun Li, Toby
Hall, Andrew
Halfaker, Aaron
SCHOENING, Johannes 
Hecht, Brent
Issue Date: 2016
Publisher: ACM
Source: Proceedings of the International Conference on Human Factors in Computing Systems, (2016)
Abstract: 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.
Notes: Johnson, IL (reprint author), Univ Minnesota, Dept Comp Sci, GroupLens Res, Minneapolis, MN 55455 USA. ijohnson@cs.umn.edu; ylin@cs.umn.edu; tobyli@cs.cmu.edu; hall@cs.umn.edu; ahalfaker@wikimedia.org; johannes.schoening@uhasselt.be; bhecht@cs.umn.edu
Keywords: urban; rural; peer production; Wikipedia; OpenStreetMap
Document URI: http://hdl.handle.net/1942/20228
ISBN: 978-1-4503-3362-7
DOI: 10.1145/2858036.2858123
ISI #: 000380532900002
Rights: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org.
Category: C1
Type: Proceedings Paper
Validations: ecoom 2017
Appears in Collections:Research publications

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