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On the need of opening up crowdsourced emergency management systems

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Collective intelligence; Crisis informatics; Emergency management; Social media mining; Social sensing
Elenco autori:
Avvenuti, Marco; DEL VIGNA, Fabio; Tesconi, Maurizio; Cresci, Stefano
Autori di Ateneo:
CRESCI STEFANO
TESCONI MAURIZIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/355770
Pubblicato in:
AI & SOCIETY
Journal
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