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Rumors detection on Social Media during Crisis Management
Claire Laudy
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Social Media monitoring has become a major issue in crisis and emergencies management. Indeed, social media may ease the sharing of information between citizens and Public Safety Organizations, but it also enables the rapid spreading of inaccurate information. As information is now provided and shared by anyone to anyone, information credibility is a major issue. We propose an approach to detect rumor in social media. This paper describes our work on semantic graph based information fusion, enhanced with uncertainty management capabilities. The uncertainty management capability enables managing the dierent level of credibility of actors of an emergency (dierent PSO oÿcers and citizens). Functions for information synthesis, conflicting information detection and information evaluation were developed and test during experimentation campaigns. The synthesis and conflicting information detection functionalities are very welcome by end-users. However, the uncertainty management is a combinatorial approach which remains a limitation for use with large amount of information.
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Rumors%20detection%20on%20Social%20Media%20during%20Crisis%20Management&stitle=Iscram%202017&issn=2411-3387&date=2017&spage=623&epage=632&aulast=Claire%20Laudy&pub=Iscram&place=Albi%2C%20France&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2050
citekey:ClaireLaudy2017
citation:Claire Laudy. (2017). Rumors detection on Social Media during Crisis Management. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 623-632). Albi, France: Iscram.
2017
ConferencePaper
text
Semantic information fusion
Uncertainty management
Ontology
Graph matching
conflict detection
rumors detection
file:http://idl.iscram.org/files/clairelaudy/2017/2050_ClaireLaudy2017.pdf
Iscram
English
2411-3387
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management
2017
623
632
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