Lessons learned in using social media for disaster relief - ASU crisis response game
SBP'12 Proceedings of the 5th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
eTrust: understanding trust evolution in an online world
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Maximizing benefits from crowdsourced data
Computational & Mathematical Organization Theory
gSCorr: modeling geo-social correlations for new check-ins on location-based social networks
Proceedings of the 21st ACM international conference on Information and knowledge management
Whom should I follow?: identifying relevant users during crises
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Modeling temporal effects of human mobile behavior on location-based social networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Cross-lingual geo-parsing for non-structured data
Proceedings of the 7th Workshop on Geographic Information Retrieval
Comparing the spatial characteristics of corresponding cyber and physical communities: a case study
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
| Hi-index | 0.00 |
Social media sites have proven useful in disaster relief for information propagation and communication. Crowdsourcing applications based on social media applications such as Twitter and Ushahidi provide a powerful capability for collecting information from disaster scenes and visualizing data for relief decision making. This article briefly describes the advantages and disadvantages of crowdsourcing applications applied to disaster relief coordination. It also discusses several challenges that need to be addressed to make crowdsourcing a useful tool that can effectively facilitate the relief progress in coordination, accuracy, and security.