Jing Ma
TitleCited byYear
Detecting rumors from microblogs with recurrent neural networks.
J Ma, W Gao, P Mitra, S Kwon, BJ Jansen, KF Wong, M Cha
Ijcai, 3818-3824, 2016
2272016
Detect rumors using time series of social context information on microblogging websites
J Ma, W Gao, Z Wei, Y Lu, KF Wong
Proceedings of the 24th ACM International on Conference on Information and …, 2015
1862015
Detect rumors in microblog posts using propagation structure via kernel learning
J Ma, W Gao, KF Wong
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
722017
Rumor detection on twitter with tree-structured recursive neural networks
J Ma, W Gao, KF Wong
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
392018
Detect rumor and stance jointly by neural multi-task learning
J Ma, W Gao, KF Wong
Companion Proceedings of the The Web Conference 2018, 585-593, 2018
292018
From retweet to believability: Utilizing trust to identify rumor spreaders on Twitter
B Rath, W Gao, J Ma, J Srivastava
Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017
192017
Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning
J Ma, W Gao, KF Wong
WWW2019, 2019
32019
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks
J Ma, W Gao, S Joty, KF Wong
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
12019
UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015
X Han, B Li, J Ma, Y Zhang, G Ou, T Wang, K Wong
Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015
12015
Utilizing computational trust to identify rumor spreaders on Twitter
B Rath, W Gao, J Ma, J Srivastava
Social Network Analysis and Mining 8 (1), 64, 2018
2018
Detect Rumors Using Time Series of Social Context Information on Microblogging
J Ma, W Gao, Z Wei, Y Lu, KF Wong
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Articles 1–11