The DOI matches its Crossref record.
Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake
Open accessAbstract
This paper outlines the ways in which information technologies (ITs) were used in the Haiti relief effort, especially with respect to web‐based mapping services. Although there were numerous ways in which this took place, this paper focuses on four in particular: CrisisCamp Haiti, OpenStreetMap, Ushahidi, and GeoCommons. This analysis demonstrates that ITs were a key means through which individuals could make a tangible difference in the work of relief and aid agencies without actually being physically present in Haiti. While not without problems, this effort nevertheless represents a remarkable example of the power and crowdsourced online mapping and the potential for new avenues of interaction between physically distant places that vary tremendously.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., Turner McGowen, S. E., Davis, R., Vaid, S., McElderry, J. A., et al. (2015) · Disasters · doi:10.1111/disa.12092 · Cited by 869
Bengtsson, L., Lu, X., Thorson, A., Garfield, R., & von Schreeb, J. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001083 · Cited by 634
Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data’
Shelton, T., Poorthuis, A., Graham, M., & Zook, M. (2014) · Geoforum · doi:10.1016/j.geoforum.2014.01.006 · Cited by 256
Self-citationCrawford, K., & Finn, M. (2015) · GeoJournal · doi:10.1007/s10708-014-9597-z · Cited by 191
(2016) · Thammasat University Digital Collections · Cited by 153
Metadata
- Authors
- Zook, M., Graham, M., Shelton, T., & Gorman, S.
- Venue
- World Medical & Health Policy
- Publisher
- Wiley
- Published
- 2010-07
- Volume
- 2
- Issue
- 2
- Pages
- 7-33
- ISSN
- 1948-4682 (ISSN-L)
- OpenAlex
- W3124276395
- Cited by
- 768
- References
- 0
- FWCI
- 218.52
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake. https://app.cochat.ai/papers/10.2202/1948-4682.1069
- The paper
- Zook, M., Graham, M., Shelton, T., & Gorman, S. (2010). Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake. World Medical & Health Policy. https://doi.org/10.2202/1948-4682.1069
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.