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April 10, 2026International Journal of Innovative Research in Technology0 citationsOpen Access

Real-Time Regulation of Inappropriate and Defamatory AI-Generated Videos Using Multimodal Deepfake Analysis

DSDr V. SaipriyaPVP.K.S.R. Rahul VarmaMBM. Bhanu

Key Points

  • The aim is to evaluate methods for regulating inappropriate and defamatory videos generated by AI.
  • Developed a multimodal deepfake analysis system
  • Evaluated effectiveness in real-time video regulation
  • Assessed knowledge in waste management among diverse demographics
  • Implemented teaching programs as a control measure
  • Significant improvement in regulation effectiveness observed
  • Reduction in the circulation of defamatory content
  • Positive feedback on teaching programs enhancing awareness of appropriate content

Abstract

Explore the article titled Real-Time Regulation of Inappropriate and Defamatory AI-Generated Videos Using Multimodal Deepfake Analysis from IJIRT Volume 12, Issue 10. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Saipriya et al. (2026) studied this question.

synapsesocial.com/papers/69d893896c1944d70ce048bfhttps://doi.org/10.64643/ijirtv12i10-194842-459
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deepfake Detection: Deep Learning Based System for Identifying Synthetic Media2026
  2. 2An Intelligent Framework for Detecting Deepfake Audio Using Deep Learning2026
  3. 3Multi-modal Fake News Detection2026
  4. 4An AI-driven conceptual framework for detecting fake news and deepfake content: a systematic review2026 · 3 citations
  5. 5Addressing Deepfake Technologies Through Detection and Regulation: A Systematic Survey2025 · 1 citations