Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection

Author:

Peng LiwenORCID,Jian Songlei,Kan Zhigang,Qiao Linbo,Li Dongsheng

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference62 articles.

1. Alam, F., Cresci, S., Chakraborty, T., Silvestri, F., Dimitrov, D., Martino, G. D. S., Shaar, S., Firooz, H., & Nakov, P. (2022). A Survey on Multimodal Disinformation Detection. In Proceedings of the 29th international conference on computational linguistics (pp. 6625–6643).

2. Preventing profiling for ethical fake news detection;Allein;Information Processing & Management,2023

3. Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International conference on learning representations.

4. Multimodal machine learning: A survey and taxonomy;Baltrušaitis;IEEE Transactions on Pattern Analysis and Machine Intelligence,2019

5. Multi-view co-attention network for fake news detection by modeling topic-specific user and news source credibility;Bazmi;Information Processing & Management,2023

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