Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake

By Matthew Zook, Mark Graham, Taylor Shelton, S. Gorman. 2010

829 citations recorded by the source corpus.

Subfields: Computer Science Applications, Ecology, Geography, Planning and Development

View Paper: https://www.semanticscholar.org/paper/42deba2e0c67ec2339d41b78c41d88d9df0d8e3d

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In Computer Science Applications

In Ecology

In Geography, Planning and Development

Citations in the corpus

Socializing in emergencies - A review of the use of social media in emergency situations (2015, background): “Today there are many more information providers and a higher involvement of the public using official and unofficial sources (Zook et al., 2010).”
Where in the World Are You? Geolocation and Language Identification in Twitter* (2013, background): “Patterns of information exchange on platforms that rely on user-generated content have been used recently in scholarly research about community (Gruzd, Wellman, and Takhteyev 2011), information diffusion (Romero, Meeder, and Kleinberg 2011), politics (Bruns and Burgess 2011), religion (Shelton, Zook”
Mobile phone location data for disasters: A review from natural hazards and epidemics (2021, positive): “OpenStreetMap (OSM) has been commonly used as a platform to gather crowdsourced geo-spatial information such as evacuation shelter locations and housing and structure damage reports after disaster events (e.g.,Westrope, Banick, & Levine, 2014; Zook, Graham, Shelton, & Gorman, 2010).”
Online public communications by police & fire services during the 2012 Hurricane Sandy (2014, background): “Studies have documented how members of the public use online communications like social media in a variety of emergency contexts [7,9,13,16,18,20,26], and emergency workers appear to be attending to that demand though seem uncertain about how to respond.”
Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2012, methodology): “…of a previous era that was often conducted by a lone analyst, synthesis of VGI tends to be much more participatory, through a mixing and remixing of multiple data and methods, as demonstrated in VGI applications in several recent disaster-relief efforts (Liu and Palen 2010; Zook et al. 2010).”
Harvesting ambient geospatial information from social media feeds (2011, methodology): “Representative examples include the post-earthquake mapping of Haiti in 2010 (e.g. Norheim-Hagtun and Meier 2010; Zook et al. 2010), the Christmas Bird Count (National Audubon Society 2011) via dedicated services (such as OpenStreetMap or Google Map Maker ).”
A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management (2015, background): “…Philippines in 2013 – social media have enabled the affected population to timely publicize an overwhelming amount of disaster-related information (Goodchild and Glennon 2010, Vieweg et al. 2010, Zook et al. 2010, Yates and Paquette 2011, Kaewkitipong et al. 2012, Chatfield and Brajawidagda 2013).”
Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011, background): “Network data can provide even richer information when combined with information on the ground and potentially also with data from mobile phone surveys [13].”
Mapping the Data Shadows of Hurricane Sandy: Uncovering the Sociospatial Dimensions of ‘Big Data’ (2014, background): “…about the country prior to the earthquake, and the explosion of information produced following it in order to aid in the recovery effort (cf. Zook et al., 2010 for visualizations of the growth in user-generated Google placemarks following the earthquake, or ITO World, 2010 for a time-lapse…”
SensePlace2: GeoTwitter analytics support for situational awareness (2011, background): “Zook, et al [28]) provide a recent overview of VGI/social media applied to crisis management with a focus on Haiti.”
The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters (2015, background): “Of the multiple projects that sought to make the events in Haiti legible to the international aid community through large-scale Twitter processing efforts (Zook et al. 2010), we focus on two.”
Crowdsourced Data Management: Industry and Academic Perspectives (2015, background): “As an example, volunteers were asked to help translate tweets during the Haiti earthquake [206], or help identify galaxies in astronomical images [154, 195].”