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On the need of opening up crowdsourced emergency management systems

Academic Article
Publication Date:
2017
abstract:
Nowadays, social media analysis systems are feeding on user contributed data, either for beneficial purposes, such as emergency management, or for user profiling and mass surveillance. Here, we carry out a discussion about the power and pitfalls of public accessibility to social media-based systems, with specific regards to the emergency management application EARS (Earthquake Alert and Report System). We investigate whether opening such systems to the population at large would further strengthen the link between communities of volunteer citizens, intelligent systems, and decision makers, thus going in the direction of developing more sustainable and resilient societies. Our analysis highlights fundamental challenges and provides interesting insights into a number of research directions with the aim of developing human-centered social media-based systems.
Iris type:
01.01 Articolo in rivista
Keywords:
Collective intelligence; Crisis informatics; Emergency management; Social media mining; Social sensing
List of contributors:
Avvenuti, Marco; DEL VIGNA, Fabio; Tesconi, Maurizio; Cresci, Stefano
Authors of the University:
CRESCI STEFANO
TESCONI MAURIZIO
Handle:
https://iris.cnr.it/handle/20.500.14243/355770
Published in:
AI & SOCIETY
Journal
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http://www.scopus.com/inward/record.url?eid=2-s2.0-85017120021&partnerID=q2rCbXpz
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