Characterising Locality Descriptions in Crowdsourced Crisis Information
Dillingham, I., Dykes, J. & Wood, J. (2012). Characterising Locality Descriptions in Crowdsourced Crisis Information. In: Proceedings of the GIS Research UK 20th Annual Conference (GISRUK 2012). GIS Research UK 20th Annual Conference (GISRUK 2012), 11 - 13 Apr 2012, Lancaster University, Lancaster, UK.
Abstract
Humanitarian organisations are reluctant to use information from social media when responding to crises or conflicts, identifying trust and accuracy as principal concerns. However, the Geographic Information Science literature contains significant research into uncertainty, research we draw upon here to characterise locality descriptions in incident reports related to the 2010 earthquake in Haiti. We do so using a classification developed to georeference locality descriptions in MaNIS, the Mammal Networked Information System. We found that although there are similarities between the datasets, crowdsourced crisis information presents significant challenges with respect to vagueness, ambiguity and precision (resolution).
| Publication Type: | Conference or Workshop Item (Paper) |
|---|---|
| Publisher Keywords: | Uncertainty, Locality Descriptions, Crowdsourced Crisis Information, Ushahidi |
| Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Departments: | School of Science & Technology > Computer Science > giCentre |
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