FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16588-z.pdf
Reference39 articles.
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2. Ying Lin, Joe Hoover, Gwenyth Portillo-Wightman, Christina Park, Morteza Dehghani, and Heng Ji. (2018) Acquiring background knowledge to improve moral value prediction. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’18). IEEE, 552–559
3. Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James Glass, and PreslavNakov (2018) Predicting factuality of reporting and bias of news media sources. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP’18)
4. Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James Glass, and PreslavNakov (2019) Multi-task ordinal regression for jointly predicting the trustworthiness and the leading political ideology of news media. arXiv preprint arXiv:1904.00542 (2019)
5. Galhardi CP, Freire NP, Minayo MC. de S., Fagundes MCM (2020) Fato ou Fake? Uma análise da desinformaçãofrente à pandemia da Covid-19 no Brasil.-4210 https://doi.org/10.1590/1413-812320202510.2.28922020
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