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Home/ Journals/ CMC/ Vol.88, No.3, 2026/ 10.32604/cmc.2026.087222

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CORRECTION

Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection

Hamza Murad Khan1, Shakila Basheer2, Mohammad Tabrez Quasim3, Raja`a Al-Naimi4, Vijaykumar Varadarajan5, Anwar Khan1,*

1 Department of Electronics, University of Peshawar, Peshawar, 25120, Pakistan
2 Department of Information Systems, College of Computer and Information Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
3 Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, P.O. Box551, Bisha, 61922, Saudi Arabia
4 Department of Mathematics, University of Petra, Amman, 1199, Jordan
5 School of Computer Science, University of Technology, Sydney, 2007, Australia

* Corresponding Author: Anwar Khan. Email: email

Computers, Materials & Continua 2026, 88(3), 108 https://doi.org/10.32604/cmc.2026.087222

Issue published 23 July 2026

This article is a correction of:

A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection
Read original article

Abstract

This article has no abstract.

In the article “A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection” (Computers, Materials & Continua, 2026, Vol. 86, No. 1, pp. 1–25, doi: 10.32604/cmc.2025.069327), Figs. 9 and 10 were not presented completely in the published version of the article. The complete figures are provided below.

The authors state that this correction does not affect the results, discussion, or scientific conclusions of the article. We apologize for any inconvenience caused.

images

Figure 9: The proposed model accuracy and error loss during training/testing on WELFake.

images

Figure 10: The proposed model accuracy and error loss during training/testing on FakeNewsPrediction.

This correction was approved by the Computers, Materials & Continua Editorial Office. The original publication has been updated accordingly.


Cite This Article

APA Style
Khan, H.M., Basheer, S., Quasim, M.T., Al-Naimi, R., Varadarajan, V. et al. (2026). Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection. Computers, Materials & Continua, 88(3), 108. https://doi.org/10.32604/cmc.2026.087222
Vancouver Style
Khan HM, Basheer S, Quasim MT, Al-Naimi R, Varadarajan V, Khan A. Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection. Comput Mater Contin. 2026;88(3):108. https://doi.org/10.32604/cmc.2026.087222
IEEE Style
H. M. Khan, S. Basheer, M. T. Quasim, R. Al-Naimi, V. Varadarajan, and A. Khan, “Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection,” Comput. Mater. Contin., vol. 88, no. 3, pp. 108, 2026. https://doi.org/10.32604/cmc.2026.087222
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cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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