Deep spatial–temporal structure learning for rumor detection on Twitter
Author:
Funder
the NSFC
the ARC DECRA
the Youth Innovation Promotion Association CAS
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05236-4.pdf
Reference21 articles.
1. DiFonzo N, Bordia P (2007) Rumor psychology: social and organizational approaches, vol 750. American Psychological Association, Washington
2. Jin Z, Cao J, Guo H, Zhang Y, Wang Y, Luo J (2017) Detection and analysis of 2016 us presidential election related rumors on twitter. In: International conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation. Springer, pp 14–24
3. Ma J, Gao W, Wong KF (2018) Rumor detection on twitter with tree-structured recursive neural networks. In: Proceedings of the 56th annual meeting of the association for computational linguistics (Volume 1: Long Papers), pp 1980–1989
4. Castillo C, Mendoza M, Poblete B (2011) Information credibility on twitter. In: Proceedings of the 20th international conference on World wide web, pp 675–684
5. Kwon S, Cha M, Jung K, Chen W, Wang Y (2013) Prominent features of rumor propagation in online social media. In: 2013 IEEE 13th international conference on data mining. IEEE, pp 1103–1108
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