Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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Multilingual Fake News Detection: A Machine Learning Approach For Indian Languages

Authors
Amol Bhosle1, Kailas Patil1, *, Sandip Thite1, Sital Dash1, Ashwini Sengar1, Yuvraj Lahoti1
1Vishwakarma University, Pune, India
*Corresponding author. Email: kailas.patil@vupune.ac.in
Corresponding Author
Kailas Patil
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_28How to use a DOI?
Keywords
Fake news detection; Hindi; Gujrathi; Marathi; Telugu
Abstract

The issue of fake news becoming major issue in society, specially in multilingual regions of India. This paper represents a novel solution to classify real news and fake news for four Indian languages as Hindi, Gujrati, Marathi, Telugu. With the help of appropriate datasets for these languages we developed models using machine learning for the enhancement of accuracy of classification. Our method cross verifies news against various reputed websites for reliability. Experimental results shows performance considering all supported languages.

Copyright
© 2025 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 International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_28How to use a DOI?
Copyright
© 2025 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  - Amol Bhosle
AU  - Kailas Patil
AU  - Sandip Thite
AU  - Sital Dash
AU  - Ashwini Sengar
AU  - Yuvraj Lahoti
PY  - 2026
DA  - 2026/01/06
TI  - Multilingual Fake News Detection: A Machine Learning Approach For Indian Languages
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 384
EP  - 397
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_28
DO  - 10.2991/978-94-6463-948-3_28
ID  - Bhosle2026
ER  -