The Proposed Deep Learning Combined with Knowledge Graphs for Fake News Detections on Social Networks
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3315-0_20
Reference18 articles.
1. Shu K, Sliva A, Wang S, Tang J, Liu H (2017) Fake news detection on social media: a data mining perspective. ACM SIGKDD Explor Newsl 19(1):22–36
2. Choudhary M, Jha S, Prashant, Saxena D, Singh AK (2021) A review of fake news detection methods using machine learning. In: 2021 2nd International conference for emerging technology (INCET). IEEE, pp 1–5
3. Zhou X, Zafarani R (2020) A survey of fake news: fundamental theories, detection methods, and opportunities. ACM Comput Surv 53(5):1–40
4. Gonwirat S, Choompol A, Wichapa N (2022) A combined deep learning model based on the ideal distance weighting method for fake news detection. Int J Data Netw Sci 6:347–354
5. Dinh XT, Pham HV (2021) Social network analysis based on combining probabilistic models with graph deep learning. In: Communication and intelligent systems. Springer, Singapore, pp 975–986
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