A deep neural network approach for fake news detection using linguistic and psychological features
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11257-024-09413-1.pdf
Reference70 articles.
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2. Arunthavachelvan, K., Raza, S., Ding, C.: PLNCC: leveraging new data features for enhanced accuracy of fake news detection. In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining (pp. 144–148) (2023)
3. Balcar, S., Skrhak, V., Peska, L.: Rank-sensitive proportional aggregations in dynamic recommendation scenarios. User Model. User-Adapt. Interact. 1–62 (2022)
4. Baly, R., Karadzhov, G., Alexandrov, D., Glass, J., Nakov, P.: Predicting factuality of reporting and bias of news media sources. (2018). arXiv preprint arXiv:1810.01765
5. Bierhoff, H.W.: Prosocial Behaviour. Psychology Press (2002)
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