PLATFORM FOR DETECTING FAKE CELEBRITIES ON SOCIAL NETWORKS

Authors

  • Nikolai Kostadinov
  • Димитър Минчев

Keywords:

C#, .NET, MSSQL, Blazor, Azure, AI

Abstract

This publication presents the development of the platform for the effective detection of fake celebrity profiles, offering a valuable tool in the fight against digital fraud and disinformation. The findings highlight the importance of continuous innovation and adaptation in technology development to keep pace with the rapidly changing digital landscape. This research laid a solid foundation for future advancements in the field of social media security and integrity.

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References

How to Recognize and Block Fake Instagram Accounts, https://buffer.com/resources/fake-instagram-accounts-how-to-spot-and-block-them/

Stochastic variance reduction, https://en.wikipedia.org/wiki/Stochastic_variance_reduction.

Limited-memory BFGS, https://en.wikipedia.org/wiki/Limited-memory_BFGS

LightGBM, https://en.wikipedia.org/wiki/LightGBM

Fast-and-frugal trees, https://en.wikipedia.org/wiki/Fast-and-frugal_trees

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Published

2024-09-06

Issue

Vol. 13 No. 1 (2024): Computer Science and Communications

Section

Computer Science and Communications - Reviewed Publications. ISSN: 1314-7846

License

Copyright (c) 2024 Николай Костадинов, Димитър Минчев

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Articles published in "Computer Science and Communications" Magazine are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.  

How to Cite

PLATFORM FOR DETECTING FAKE CELEBRITIES ON SOCIAL NETWORKS. (2024). COMPUTER SCIENCES AND COMMUNICATIONS, 13(1), 16-22. https://csc.bfu.bg/index.php/CSC/article/view/284

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