Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters

Dipak Singh; Shayan Shams; Joohyun Kim; Seung Jong Park; Seungwon Yang

Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters

Dipak Singh, Shayan Shams, Joohyun Kim, Seung Jong Park, Seungwon Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ISCRAM 2020 - Proceedings
Subtitle of host publication	17th International Conference on Information Systems for Crisis Response and Management
Editors	Amanda Lee Hughes, Fiona McNeill, Christopher W. Zobel
Pages	90-99
Number of pages	10
ISBN (Electronic)	9781949373271
State	Published - 2020
Externally published	Yes
Event	17th Annual International Conference on Information Systems for Crisis Response and Management, ISCRAM 2020 - Blacksburg, United States Duration: May 23 2021 → …

Publication series

Name	Proceedings of the International ISCRAM Conference
Volume	2020-May
ISSN (Electronic)	2411-3387

Conference

Conference	17th Annual International Conference on Information Systems for Crisis Response and Management, ISCRAM 2020
Country/Territory	United States
City	Blacksburg
Period	5/23/21 → …

ASJC Scopus Subject Areas

Computer Networks and Communications
Information Systems
Information Systems and Management
Electrical and Electronic Engineering

Keywords

Deep Learning
Fake News
Natural Disaster
Neural Networks
Social Network

Cite this

Singh, D., Shams, S., Kim, J., Park, S. J., & Yang, S. (2020). Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters. In A. L. Hughes, F. McNeill, & C. W. Zobel (Eds.), ISCRAM 2020 - Proceedings: 17th International Conference on Information Systems for Crisis Response and Management (pp. 90-99). (Proceedings of the International ISCRAM Conference; Vol. 2020-May).

Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters. / Singh, Dipak; Shams, Shayan; Kim, Joohyun et al.
ISCRAM 2020 - Proceedings: 17th International Conference on Information Systems for Crisis Response and Management. ed. / Amanda Lee Hughes; Fiona McNeill; Christopher W. Zobel. 2020. p. 90-99 (Proceedings of the International ISCRAM Conference; Vol. 2020-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Singh, D, Shams, S, Kim, J, Park, SJ & Yang, S 2020, Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters. in AL Hughes, F McNeill & CW Zobel (eds), ISCRAM 2020 - Proceedings: 17th International Conference on Information Systems for Crisis Response and Management. Proceedings of the International ISCRAM Conference, vol. 2020-May, pp. 90-99, 17th Annual International Conference on Information Systems for Crisis Response and Management, ISCRAM 2020, Blacksburg, United States, 5/23/21.

Singh D, Shams S, Kim J, Park SJ, Yang S. Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters. In Hughes AL, McNeill F, Zobel CW, editors, ISCRAM 2020 - Proceedings: 17th International Conference on Information Systems for Crisis Response and Management. 2020. p. 90-99. (Proceedings of the International ISCRAM Conference).

Singh, Dipak ; Shams, Shayan ; Kim, Joohyun et al. / Fighting for information credibility : An end-to-end framework to identify fake news during natural disasters. ISCRAM 2020 - Proceedings: 17th International Conference on Information Systems for Crisis Response and Management. editor / Amanda Lee Hughes ; Fiona McNeill ; Christopher W. Zobel. 2020. pp. 90-99 (Proceedings of the International ISCRAM Conference).

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title = "Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters",

keywords = "Deep Learning, Fake News, Natural Disaster, Neural Networks, Social Network",

author = "Dipak Singh and Shayan Shams and Joohyun Kim and Park, {Seung Jong} and Seungwon Yang",

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Fighting for information credibility: An end-to-end framework to identify fake news during natural disasters

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

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Cite this