TY - GEN
T1 - Social media processing in crisis response
T2 - 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
AU - Coche, Julien
AU - Rodriguez, Guillermo Romera
AU - Montarnal, Aurelie
AU - Tapia, Andrea
AU - Benaben, Frederick
N1 - Funding Information:
This research is partially supported by the French National Research Agency - ANR, through the MACIV project (Projet-ANR-17-CE39-0015), NSF BIGDATA grant 1741370. We also wish to thank our anonymous reviewers for their constructive comments, which helped improve the presentation of this paper.
Publisher Copyright:
© 2021 IEEE Computer Society. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Information about the ongoing events is of the utmost importance during emergencies. Previous work in crisis informatics found new ways to pull data from unexploited sources, such as social media. But while the volume of information is crucial, the way the information is reported and provided becomes increasingly important as the volume grows. Yet, little has been achieved on information management. This article proposes a way to automatically organize information from social media data up to decision-makers. This organization is enabled by a metamodel [1] designed to model crucial information in crises. The article is organized as follows. First, the organization of current social media processing systems is presented. Then, the article presents the metamodel used and how it is relevant to organized information in crisis events through the lens of the 6W's [2]. Finally, it walks through the implementation of the proposal based on the two previous parts.
AB - Information about the ongoing events is of the utmost importance during emergencies. Previous work in crisis informatics found new ways to pull data from unexploited sources, such as social media. But while the volume of information is crucial, the way the information is reported and provided becomes increasingly important as the volume grows. Yet, little has been achieved on information management. This article proposes a way to automatically organize information from social media data up to decision-makers. This organization is enabled by a metamodel [1] designed to model crucial information in crises. The article is organized as follows. First, the organization of current social media processing systems is presented. Then, the article presents the metamodel used and how it is relevant to organized information in crisis events through the lens of the 6W's [2]. Finally, it walks through the implementation of the proposal based on the two previous parts.
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M3 - Conference contribution
AN - SCOPUS:85108313341
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 2285
EP - 2294
BT - Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
A2 - Bui, Tung X.
PB - IEEE Computer Society
Y2 - 4 January 2021 through 8 January 2021
ER -