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Research Article

Fake Image Detection on Social Media using CNN Algorithm

Open Access Peer Reviewed

Authors

  • Aakash Singh1
  • Deepak Verma2
  • Km Annu Singh3
  • Km Pinki Yadav4
  • Sunil Yadav5

1234 B.Tech Students, Department of Computer Science & Engineering, Institute of Technology and Management, GIDA, Gorakhpur,India. 5Assistant Professor, Department of Computer Science & Engineering, Institute of Technology and Management, GIDA, Gorakhpur,India.

Article Information

DOI
No DOI
Published Online
May-June 2023
Pages
01-05
Article Type
Research Article
Check for updates
No DOI available for cross-reference

References

1. G.Mohamed Sikandar, "100 SocialMedia Statistics You must know,"[online] Available at: https://blog.statusbrew.com/socialmediastatistics-2018-for-business/ [Accessed 02 Mar 2019].
2. Kit Smith,"49 Incredible InstagramStatistics,". Brandwatch. [online] Available at:https://www.brandwatch.com/blog/inst agramstats/ [Accessed 10 May 2019].
3. Li, W., Prasad, S., Fowler, J. E., &Bruce, L. M. (2012). Localitypreserving dimensionality reduction and classification
for hyperspectral image analysis. IEEE Transactions on Geoscience and Remote Sensing, 50(4), 1185–1198.
4. K. Ravi, (2018). Detecting fake imageswith Machine Learning. HarkuchJournal
5. L. Zheng, Y. Yang, J. Zhang, Q. Cui, X.Zhang, Z. Li, et al. (2018). TICNN:Convolutional Neural Networks for Fake News Detection.
United States
6. S. Aphiwongsophon, & P. Chongstitvatana, (2017). DetectingFake News with Machine Learning Method. Chulalongkorn University,
Department of Computer Engineering, Bangkok, Thailand.
7. M. D. Ansari, S. P. Ghrera, & V. Tyagi,(2014). Pixel-based image forgery detection: A Review. IETE Journal of Education, 55(1), 40–
46.
8. Y. Li, & S. Cha, (2019). Face Recognition System. arXiv preprint arXiv:1901.02452.
9. R. Saracco, (2018). Detecting fakeimages using artificial intelligence. IEEE Future Directions.
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