{
  "id": 13487,
  "url": "https://arxiv.org/abs/2607.20579v1",
  "title": "Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis",
  "summary": "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",
  "authors": "Ameena Khan, Muhammad Ahsan Aziz, Muhammad Junaid Asif, Naeem Akhter, Rana Fayyaz Ahmad",
  "category": "research",
  "topics": "misinformation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-22T11:39:53.000Z",
  "fetched_at": "2026-07-25T05:10:48.796Z",
  "source_slug": "x-arxiv-cs-cr-ai-security",
  "source_name": "arXiv cs.CR (AI security)",
  "source_homepage": "https://arxiv.org/list/cs.CR/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13487",
  "original_url": "https://arxiv.org/abs/2607.20579v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}