1. Song C., Shu K., andWu B.Temporally Evolving Graph Neural Network for Fake News Detection. Information Processing & Management, vol. 58, no. 6, pp. 102712, 2021. 2. Shim J.S., Lee Y., andAhn H.A Link2vec-based Fake News Detection Model Using Web Search Results. Expert Systems with Applications, vol. 184, pp. 115491, 2021. 3. Cao J., Sheng Q., Qi P., Zhong L., Wang Y., andZhang X.False News Detection on Social Media.arXiv preprint arXiv:1908.10818, 2019. 4. Nasir J.A., Khan O.S., andVarlamis I.Fake News Detection: A Hybrid CNN-RNN Based Deep Learning Approach. International Journal of Information Management Data Insights, vol. 1, no. 1, pp. 100007, 2021. 5. Samadi M., Mousavian M., andMomtazi S.Deep Contextualized Text Representation and Learning for Fake News Detection. Information Processing & Management, vol. 58, no. 6, pp. 102723, 2021. 6. Kumar S., Asthana R., Upadhyay S., Upreti N., andAkbar M.Fake News Detection Using Deep Learning Models: A Novel Approach. Transactions on Emerging Telecommunications Technologies, vol. 31, no. 2, p.e 3767, 2020. 7. Aslam N.,Ullah Khan, I., Alotaibi, F.S., Aldaej, L.A., and Aldubaikil, A.K. Fake Detect: A Deep Learning Ensemble Model for Fake News Detection.complexity, 2021. 8. Hakak S., Alazab M., Khan S., Gadekallu T.R., Maddikunta P.K.R., and Khan, W.Z. An Ensemble Machine Learning Approach through Effective Feature Extraction to Classify Fake News. Future Generation Computer Systems, vol. 117, pp. 47-58, 2021. 9. Trueman T.E., Kumar A., Narayanasamy P., andVidya J.Attention-Based C-BiLSTM for Fake News Detection. Applied Soft Computing, vol. 110, pp. 107600, 2021. 10. Khan, J.Y., Khondaker, M.T.I., Afroz, S., Uddin, G., and Iqbal, A. A Benchmark Study of Machine Learning Models for Online Fake News Detection. Machine Learning with Applications, vol. 4, pp. 100032, 2021. 11. Choudhary M., Chouhan S.S., Pilli E.S., andVipparthi S.K.BerConvoNet: A Deep Learning Framework for Fake News Classification. Applied Soft Computing, vol. 110, pp. 107614, 2021. 12. Goldani M.H., Safabakhsh R., andMomtazi S.Convolutional Neural Network with Margin Loss for Fake News Detection. Information Processing & Management, vol. 58, no. 1, pp. 102418, 2021. 13. Sabeeh V., Zohdy M., Mollah A., andAl Bashaireh, R. Fake News Detection on Social Media Using Deep Learning and Semantic Knowledge Sources. International Journal of Computer Science and Information Security (IJCSIS), vol. 18, no. 2, 2020. 14. Umer M., Imtiaz Z., Ullah S., Mehmood A., Choi G.S., andOn B.W.Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM). IEEE Access, vol. 8, pp. 156695-156706, 2020. 15. Saleh H., Alharbi A., andAlsamhi S.H.OPCNN-FAKE: Optimized Convolutional Neural Network for Fake News Detection. IEEE Access, vol. 9, pp. 129471-129489, 2021. 16. Jiang T., Li J.P., Haq A.U., Saboor A., andAli A.A Novel Stacking Approach for Accurate Detection of Fake News. IEEE Access, vol. 9, pp. 22626-22639, 2021. 17. Li D., Guo H., Wang Z., andZheng Z.Unsupervised Fake News Detection Based on Autoencoder. IEEE Access, vol. 9, pp. 29356-29365, 2021. 18. Do T.H., Berneman M., Patro J., Bekoulis G., andDeligiannis N.Context-aware Deep Markov Random Fields for Fake News Detection. IEEE Access, vol. 9, pp. 130042-130054, 2021. 19. Dong X., Victor U., andQian L.Two-path Deep Semisupervised Learning for Timely Fake News Detection. IEEE Transactions on Computational Social Systems, vol. 7, no. 6, pp. 1386-1398, 2020. 20. Alzanin, S.M. and Azmi, A.M.Rumor Detection in Arabic Tweets Using Semi-supervised and Unsupervised Expectation-maximization. Knowledge-Based Systems, vol. 185, pp. 104945, 2019. 21. Ni, S., Li, J. and Kao, H.Y.MVAN: Multi-view Attention Networks for Fake News Detection on Social Media. IEEE Access, vol. 9, pp. 106907-106917, 2021. 22. Thorne J., Chen M., Myrianthous G., Pu J., Wang X., andVlachos A. Fake News Stance Detection Using Stacked Ensemble of Classifiers. In Proceedings of the2017 EMNLP workshop: natural language processing meets journalism, pp. 80-83, 2017. 23. Fernández-Reyes, F.C. and Shinde, S. Evaluating Deep Neural Networks for Automatic Fake News Detection in Political Domain. In Ibero-American Conference on Artificial Intelligence, Springer, Cham, pp. 206-216, 2018. 24. Bahad P., Saxena P., andKamal R.Fake News Detection Using Bi-directional LSTM-Recurrent Neural Network. Procedia Computer Science, vol. 165, pp. 74-82, 2019. |