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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.
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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