Fr. 100.00

Big Crisis Data - Social Media in Disasters and Time-Critical Situations

English · Hardback

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Informationen zum Autor Carlos Castillo is a researcher in social computing. He is a web miner with a background in information retrieval, and has been influential in the areas of web content quality and credibility. He has co-authored more than seventy publications in top-tier international conferences and journals, a monograph on adversarial web search, and a book on information and influence propagation. Klappentext Social media is invaluable during crises like natural disasters, but difficult to analyze. This book shows how computer science can help. Zusammenfassung During natural disasters people make extensive use of social media. How can this avalanche of messages be processed to extract the information needed to save lives? This book brings together computational methods from many disciplines for processing social media messages under time-critical constraints. Inhaltsverzeichnis 1. Introduction; 2. Volume: data acquisition, storage, and retrieval; 3. Vagueness: natural language and semantics; 4. Variety: classification and clustering; 5. Virality: networks and information propagation; 6. Velocity: online methods and data streams; 7. Volunteers: humanitarian crowdsourcing; 8. Veracity: misinformation and credibility; 9. Validity: biases and pitfalls of social media data; 10. Visualization: crisis maps and beyond; 11. Values: privacy and ethics; 12. Conclusions and outlook.

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