Mining Social Media
Abstract: Social media holds the promise of a vast dataset that represents “what people think” about various issues. This talk covers several social media applications in various domains, including economics, politics, public health, and emergency management. A particular focus are sudden-onset events such as natural disasters or mass convergence events. We also discuss various biases that affect this research and ethical boundaries that delimit it.
Short Bio: Carlos Castillo is a Distinguished Research Professor at Universitat Pompeu Fabra in Barcelona, where he leads the Web Science and Social Computing research group. He is a web miner with a background on information retrieval, and has been influential in the areas of crisis informatics, web content quality and credibility, and adversarial web search. He is a prolific, highly cited researcher who has co-authored over 80 publications in top-tier international conferences and journals, receiving a test-of-time award, two best paper awards, and two best student paper awards. His works include a book on Big Crisis Data, as well as monographs on Information and Influence Propagation, and Adversarial Web Search.