AI Simulated Media Detection for Social Media

Authors

  • Mr. S. Kingsley Assistant professor, Easwari Engineering College, Gangiah Avenue, Ramapuram, Chennai, India. Author
  • Adithya S P Student, Easwari Engineering College, Gangiah Avenue, Ramapuram Chennai, India. Author
  • Badrinath Babu Student, Easwari Engineering College, Gangiah Avenue, Ramapuram Chennai, India. Author
  • Harish Vaithilingam A Student, Easwari Engineering College, Gangiah Avenue, Ramapuram Chennai, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0131

Keywords:

BB - Bounding Box, ML - Machine Learning, CNN - Convolutional Neural Network

Abstract

This paper discusses the use of artificial intelligence (AI) for detecting AI-simulated media on social media platforms. AI-generated content, like deepfake videos and synthetic images, poses a significant challenge to content moderation. The paper highlights the methods and technologies such as machine learning and deep learning models involved in identifying such content, emphasizing the importance of dataset quality. The paper offers a holistic view of the multifaceted approach required to address the challenge of AI-simulated media on social media platforms.

Downloads

Download data is not yet available.

Downloads

Published

2024-04-22

How to Cite

AI Simulated Media Detection for Social Media. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(04), 938-943. https://doi.org/10.47392/IRJAEH.2024.0131

Similar Articles

11-20 of 139

You may also start an advanced similarity search for this article.