Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis
Deepfake news refers to AI-generated (or AI ma-nipulated) multimedia content intentionally generated to deceive audiences by manipulating the facial expressions, or speech while maintaining the realistic appearance. The rapid progress of generative AI has made the synthesis of highly realistic fake videos and cloned voices widely accessible, posing a serious threat to the authenticity of digital news media. This paper presents a multi-modal framework that discerns the authenticity of video conte
Record details
Published: 22 July 2026
Source: arXiv cs.CR (AI security)
Category: Research
Topics: Misinformation
Retrieved: 25 July 2026
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How to cite this record
ethics.ai (22 July 2026), “Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis,” evidence record 13487, https://ethics.ai/record/13487 (originally published by arXiv cs.CR (AI security)).
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