Big Crisis Data

Social Media in Disasters and Time-Critical Situations

Häftad, Engelska, 2019

AvCarlos Castillo

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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 that exceeds the human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information.

Produktinformation

Utgivningsdatum2019-12-19
Mått152 x 229 x 12 mm
Vikt309 g
FormatHäftad
SpråkEngelska
Antal sidor226
FörlagCambridge University Press
ISBN9781108816946

Tillhör följande kategorier

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.

'Castillo has provided an accessible path through a wide and sometimes unwieldy literature on crisis informatics. This book has an important and timely focus on big data issues, which both challenge and enlighten our understanding of human behavior in disaster events.' Leysia Palen, Professor of Computer Science, and Professor and Founding Chair of the Department of Information Science, University of Colorado, Boulder