Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages, exceeding their capacity to process them. In this talk, we will look at how interdisciplinary research has enabled the creation of new tools for emergency managers, decision makers, and affected communities. These tools typically incorporate a combination of automatic processing and crowdsourcing. The talk will also look at ethical issues of this line of research, and at open problems.

http://bigcrisisdata.org/

About Carlos Castillo

Carlos Castillo is Director of Research for Data Science at Eurecat. He is a web miner with a background on information retrieval, and has been influential in the areas of web content quality and credibility, and adversarial web search. He is a prolific researcher with more than 75 publications in top-tier international conferences and journals, receiving 9800 citations. His works include a recent book on Big Crisis Data, as well as monographs on Information and Influence Propagation, and Adversarial Web Search.

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Este evento se impartirá en Inglés