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Original Article

An AI-Driven Framework for Fake News Classification and Sentiment Prediction Using Transformer and RNN Models

  • Paper ID 318
  • Volume 6, Issue 2
  • Pages 293-299
  • Published Online: March-April 2026
  • 84 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Waman R. Parulekar1
  • Supriya S. Surve2
  • Gousiya A. Khanche3
  • Sanika C. Joshi4
  • Hemangi D. Naik5

1 2 3 4 Department of MCA, Finolex Academy of Management and Technology, Ratnagiri, India. 5 Department of Computer Engineering, Yashwantrao Bhonsale Institute of Technology, Sindhudurg, India.

Article Information

Published Online
March-April 2026
Pages
293-299
Article Type
Original Article
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References

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10.1126/science.aap9559.
2. K. Shu, A. Sliva, S. Wang, J. Tang, and H. Liu, “Fake news detection on social media: A data mining perspective,” ACM SIGKDD
Explorations, vol. 19, no. 1, pp. 22–36, 2017, doi: 10.1145/3137597.3137600.
3. S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Computation, vol. 9, no. 8, pp. 1735–1780, 1997, doi:
10.1162/neco.1997.9.8.1735.
4. A. Vaswani et al., “Attention is all you need,” in Advances in Neural Information Processing Systems (NeurIPS), 2017, pp. 5998–6008.
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arXiv preprint arXiv: 1810.04805, 2018.
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sentiment analysis,” arXiv preprint arXiv: 2304.00636, Apr. 2023.
8. Y. Liu, J. Chen, and Z. Yang, “Emotion detection for misinformation: A review,” arXiv preprint arXiv: 2311.00671, Nov. 2023.
9. H. Xu, Y. Wu, and Y. Liu, “Ample: Emotion-aware multimodal fusion prompt learning for fake news detection,” arXiv preprint arXiv:
2410.15591, Oct. 2024.
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10, no. 2, p. e27357, Feb. 2024, doi: 10.1016/j.heliyon.2024.e27357.
11. P. Gohil, R. Joshi, and H. Gandhi, “Fake news detection using hybrid transformer models,” SRELS Journal of Information Management,
vol. 61, no. 2, pp. 85–95, Apr. 2024.
12. R. Bania, P. Laskar, and S. Choudhury, “Towards development of machine learning models for fake news detection and sentiment
analysis,” in Proc. ICIMMI, 2024, pp. 87–96.
13. J. Shaeri and A. Katanforoush, “A semi-supervised fake news detection using sentiment encoding and LSTM with self-attention,” 2024.
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Software, vol. 15, no. 6, pp. 477–489, Dec. 2021, doi: 10.1049/ise2.12021.
15. M. Ghafoor and A. Aish, “Detection of fake news using Bi-LSTM and TF-IDF vectorization,” Journal of Innovative Computer
Engineering and Technology (JICET), vol. 9, no. 1, pp. 15–23, 2024.
16. R. Singh and S. Singh, “Fake news detection using LSTM, BiLSTM and CNN,” Journal of Advances in Science and Engineering, vol. 2,
no. 1, pp. 35–41, 2022.
17. J. Nie, H. Wang, and X. Zhang, “A comparative study of machine learning and hybrid models for fake news detection with sentiment
analysis,” in Proc. ACE, 2024.
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no. 2, pp. 112–119, 2024.
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