RP-DNN : a Tweet level propagation context based deep neural networks for early rumor detection in social media

Gao, J. orcid.org/0000-0002-3610-8748, Han, S., Song, X. et al. (1 more author) (2020) RP-DNN : a Tweet level propagation context based deep neural networks for early rumor detection in social media. In: Calzolari, N., Béchet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. and Piperidis, S., (eds.) Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). LREC 2020 : International Conference on Language Resources and Evaluation, 11-16 May 2020, Marseille, France. European Language Resources Association , pp. 6094-6105. ISBN 9791095546344

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. Licensed under a Creative Commons Attribution Non-Commercial 4.0 International License. (http://creativecommons.org/licenses/by-nc/4.0/)
Keywords: Early Rumor Detection; Social Media; Recurrent Neural Network; Attention Mechanism; Context Modeling
Dates:
  • Accepted: 11 February 2020
  • Published (online): May 2020
  • Published: May 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Feb 2020 15:37
Last Modified: 19 Jan 2022 12:26
Published Version: https://aclanthology.org/2020.lrec-1.748
Status: Published
Publisher: European Language Resources Association
Refereed: Yes
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