Social Media Tri-Domain Analysis for Detection of Potential/Likely Malicious Users
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39777-6_25
Reference13 articles.
1. Ozbay, F.A., Altas, B.: Fake news detection within online social media using supervised artificial intelligence algorithms. Physica A 540(Article no. 123174), 0378–4371 (2020)
2. Kaliyar, R.K., Goswami, A., Narang, P., Sinha, S.: FNDNet-a deep convolutional neural network for fake news detection. Cogn. Syst. Res. 61, 32–44 (2020)
3. Faustini, P.H.A., Covões, T.F.: Fake news detection in multiple platforms and languages. Expert Syst. Appl. 158 Article no. 113503 (2020)
4. Wang, Y., Wang, L., Yang, Y., Lian, T.: SemSeq4FD: integrating global semantic relationship and local sequential order to enhance text representation for fake news detection. Expert Syst. Appl. 166, Article no. 114090 (2021)
5. Liu, Y., Wu, Y.: FNED: a deep network for fake news early detection on social media. ACM Trans. Inf. Syst. 38, 1–33 (2020)
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