Scopus

The Proposed Deep Learning Combined with Knowledge Graphs for Fake News Detections on Social Networks

Năm XB 2023 Tạp chí / Hội thảo Lecture Notes in Networks and Systems Volume 703 LNNS DOI / Link https://doi.org/10.1007/978-981-99-3315-0_20 ↗

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Tài liệu tham khảo

[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

[6] Pérez-Rosas V, Kleinberg B, Lefevre A, Mihalcea R (2017) Automatic detection of fake news. In: Computation and language. arXiv:1708.07104, arXiv:1708.07104v1, https://doi.org/10.48550/arXiv.1708.07104

[7] Ahmad T, Faisal MS, Rizwan A, Alkanhel R, Khan PW, Muthanna A (2022) Efficient fake news detection mechanism using enhanced deep learning model. Appl Sci 12(1743):1–20

[8] Aldwairi M, Alwahedi A (2018) Detecting fake news in social media networks. Procedia Comput Sci 141:215–222

[9] Girgis S, Amer E, Gadallah M (2018) Deep learning algorithms for detecting fake news in online text. In: 2018 13th International conference on computer engineering and systems (ICCES). IEEE, pp 93–97

[10] Jain A, Shakya A, Khatter H, Gupta AK (2019) A smart system for fake news detection using machine learning. In: 2019 International conference on issues and challenges in intelligent computing techniques (ICICT). IEEE, pp 1–4

[11] Ozbay FA, Alatas B (2020) Fake news detection within online social media using supervised artificial intelligence algorithms. Physica A 540:123174

[12] Kudarvalli H, Fiaidhi J (2020) Experiments on detecting fake news using machine learning algorithms. Int J Reliable Inf Assur (IJRIA) 8:15–26

[13] Pham HV, Tien DN (2021) Hybrid Louvain-clustering model using knowledge graph for improvement of clustering user’s behavior on social networks. In: Tran DT, Jeon G, Nguyen TDL, Lu J, Xuan TD (eds) Intelligent systems and networks. ICISN 2021. Lecture notes in networks and systems, vol 243. Springer, Singapore, pp 126–133

[14] Nasir JA, Khan OS, Varlamis I (2021) Fake news detection: a hybrid CNN-RNN based deep learning approach. Int J Inf Manag Data Insights 1(100007):1–13

[15] Pham HV, Nguyen VT (2020) A novel approach using context matching algorithm and knowledge inference for user identification in social networks. In: ICMLSC 2020: Proceedings of the 4th international conference on machine learning and soft computing, pp 149–153

[16] Dong NT, Pham HV (2020) Graph neural network combined knowledge graph for recommendation system. In: International conference on computational data and social networks. CSoNet 2020: Computational data and social networks. Springer, Cham, pp 59–70

[17] Retrieved from https://github.com/KaiDMML/FakeNewsNet/tree/master/dataset

[18] Pham HV, Thanh DH, Moore P (2021) Hierarchical pooling in graph neural networks to enhance classification performance in large datasets. Sensors 21(6070):1–20. https://doi.org/10.3390/s21186070