Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)

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Fake News Detection Using Deep Learning (LSTM)

Authors
A. Ramya1, *, V. Varshini1, C. J. Raman1
1Department of Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, Chennai, India
*Corresponding author. Email: ramya240726@gmail.com
Corresponding Author
A. Ramya
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-654-8_31How to use a DOI?
Keywords
Fake News; Deep Learning; LSTM; NLP; Classification; Misinformation Detection
Abstract

Digital media and social networks have increased explosively and with the increase in use of the medium the amount of information circulating on the internet is huge. It is also important to note that with the increase in the information flow, there has been a flow of information that is either false or misleading. Fake news can be used to undermine our political stability and the safety of the public and may also serve to erode the trust that is so vital in a society. The explosive information creation on the Internet as well as the rate at which new content is being created there is a need to have automated, intelligent solutions to be deployed to sort through the deluge of information, as manual fact-checking methods cannot be deployed to scale. The focus of this paper is to present a solution for identifying fake news. The paper describes a deep learning approach to detect fake news, and is based on long short-term memory networks (LSTM).

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
Series
Advances in Engineering Research
Publication Date
24 April 2026
ISBN
978-94-6239-654-8
ISSN
2352-5401
DOI
10.2991/978-94-6239-654-8_31How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Ramya
AU  - V. Varshini
AU  - C. J. Raman
PY  - 2026
DA  - 2026/04/24
TI  - Fake News Detection Using Deep Learning (LSTM)
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 371
EP  - 380
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_31
DO  - 10.2991/978-94-6239-654-8_31
ID  - Ramya2026
ER  -