Big Crisis Data: Social Media in Disasters and Time-Critical Situations
Cambridge University Press
Edition: Illustrated, 7/4/2016
EAN 9781107135765, ISBN10: 1107135761
Hardcover, 224 pages, 23.4 x 15.5 x 1.5 cm
Language: English
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.
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.