Deepfake Technology, Media, and National Security: The Case of the German Chancellor’s Deepfake Video Cover Image

Deepfake Technology, Media, and National Security: The Case of the German Chancellor’s Deepfake Video
Deepfake Technology, Media, and National Security: The Case of the German Chancellor’s Deepfake Video

Author(s): Ahmet Görgen, Can Sayginer
Subject(s): Politics / Political Sciences, Media studies, Security and defense
Published by: Atatürk Stratejik Araştırmalar Enstitüsü
Keywords: Deepfake Technology; Olaf Scholz; AFD; Media Agenda; National Security;

Summary/Abstract: Deepfake technology has become a powerful tool in shaping media narratives and public perception, particularly in the realm of political discourse. This study analyzes the impact of deepfake videos on media agenda-setting and national security, using the case study of a deepfake video featuring German Chancellor Olaf Scholz announcing a ban on the far-right party Alternative für Deutschland (AfD). Through a qualitative content analysis of eight major German media outlets, the study identifies the frames used in reporting on the video, its ethical and political implications, and the role of the media in curbing misinformation. The findings reveal that while the coverage successfully debunked the deepfake, it also sparked discussions about the potential for AI-generated content to influence political discourse and undermine democratic integrity. By examining this case, the study contributes to ongoing discussions about the intersection of AI, media credibility, and political communication. Furthermore, it highlights the risks that deepfake technology poses not only to media and political communication but also to national security. This research helps to understand how deepfake content has the potential to legitimize narratives and outlines the need for a more systemic response towards addressing the threats posed by synthetic content in the digital ecosystem.

  • Issue Year: 21/2025
  • Issue No: 51
  • Page Range: 279-297
  • Page Count: 19
  • Language: English
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