TY - CHAP
T1 - Understanding collective action through social media-based disaster data analytics
AU - Tapia, Andrea Garcia
AU - Ramirez-Marquez, Jose E.
N1 - Publisher Copyright:
© 2021 Elsevier Inc. All rights reserved.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - In this chapter, we explore how disasters can foster social cohesion in online communities (e.g., Occupy Sandy). We posit that data generated by these virtual communities can help detect potential collective actions that in turn can be used by disaster response agencies to foster and improve real-time response. To do so, we use text data collected from Hurricane Sandy (2012, New York City) as a case study and show that it is possible to analyze how a grassroots disaster-relief network emerged after a disaster (specifically, how social media allowed Occupy Sandy to organize throughout the disaster) and subsequently how social media played a key role in disaster relief.
AB - In this chapter, we explore how disasters can foster social cohesion in online communities (e.g., Occupy Sandy). We posit that data generated by these virtual communities can help detect potential collective actions that in turn can be used by disaster response agencies to foster and improve real-time response. To do so, we use text data collected from Hurricane Sandy (2012, New York City) as a case study and show that it is possible to analyze how a grassroots disaster-relief network emerged after a disaster (specifically, how social media allowed Occupy Sandy to organize throughout the disaster) and subsequently how social media played a key role in disaster relief.
KW - Grassroots movements
KW - Network analysis
KW - Social cohesion
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85142067723&partnerID=8YFLogxK
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U2 - 10.1016/B978-0-12-819047-0.00015-9
DO - 10.1016/B978-0-12-819047-0.00015-9
M3 - Chapter
AN - SCOPUS:85142067723
SN - 9780128190487
SP - 297
EP - 318
BT - Understanding Disaster Risk
ER -