Aspect-Based Fake News Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2266-2_8
Reference20 articles.
1. Ahuja, N., Kumar, S.: Fusion of semantic, visual and network information for detection of misinformation on social media. Cybern. Syst., 1–23 (2022)
2. Bazmi, P., Asadpour, M., Shakery, A.: Multi-view co-attention network for fake news detection by modeling topic-specific user and news source credibility. Inform. Process. Manag. 60(1), 103146 (2023)
3. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993–1022 (2003)
4. Botnevik, B., Sakariassen, E., Setty, V.: BRENDA: browser extension for fake news detection. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2117–2120 (2020)
5. Dai, J., Chen, C., Li, Y.: A backdoor attack against LSTM-based text classification systems. IEEE Access 7, 138872–138878 (2019)
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