T 3 RD: Test-Time Training for Rumor Detection on Social Media

Author:

Zhang Huaiwen1ORCID,Liu Xinxin1ORCID,Yang Qing1ORCID,Yang Yang1ORCID,Qi Fan2ORCID,Qian Shengsheng3ORCID,Xu Changsheng3ORCID

Affiliation:

1. Inner Mongolia University, Hohhot, China

2. Tianjin University of Technology, Tianjin, China

3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region

Inner Mongolia Natural Science Foundation

Publisher

ACM

Reference40 articles.

1. Alexander Bartler, Andre Bü hler, Felix Wiewel, Mario Dö bler, and Bin Yang. 2022. MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. In International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28--30 March 2022, Virtual Event (Proceedings of Machine Learning Research, Vol. 151). PMLR, 3080--3090.

2. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

3. Information credibility on twitter

4. Guowei Fan, Tao Wu, and Yamei Lei. 2022. Research on Rumor Detection Based on RoBERTa-BiGRU Model. In International Conference on Artificial Intelligence and Security. Springer, 194--204.

5. Rumor Cascades

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