Deep Fakes and Politics: The New Weapon of Misinformation

By: Brij B. Gupta, Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan. Email:

Deep fakes, powered by advanced artificial intelligence, have emerged as a formidable tool for creating hyper-realistic digital fabrications[1-7]. In the realm of politics, these manipulative technologies pose significant threats by spreading misinformation and eroding public trust. This blog delves into the intersection of deep fakes and politics, examining how deep fakes are used to deceive, influence, and manipulate political landscapes. Through case studies and an exploration of detection methods, legal considerations, and future trends, this blog provides a comprehensive overview of the challenges and implications of deep fakes in the political arena[8-14].

The Intersection of Deep Fakes and Politics

Deep fakes are particularly concerning in politics due to their potential to spread misinformation and manipulate public opinion. Politicians, including US presidents like Barack Obama and Donald Trump, have been targeted by deep fakes, highlighting the risk of using this technology to deceive the public Shahzad et al. [15]. Deep fake videos can be used to create highly realistic fake content that can be widely disseminated to propagate false information about political leaders, undermining trust and credibility [16]. The ability to fabricate videos of politicians making inappropriate statements or spreading false information poses a significant threat to the integrity of political discourse and public perception [17]. The spread of fake news, often driven by specific political agendas, can influence public opinion, polarize discussions, and impact democratic processes [18]. As deep fake technology advances, the potential for political manipulation, propaganda, and the erosion of trust in political institutions becomes more pronounced, necessitating robust measures to combat the negative effects of deep fakes in the political sphere.

Read the full article at Medium


  1. X. Yang, Y. Li, & S. Lyu, “Exposing deep fakes using inconsistent head poses”,, 2019.
  2. S. Ahmed, “Fast and effective deepfake detection method using frame comparison analysis”,, 2023.
  3. M. Bohacek and H. Farid, “Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms”, Proceedings of the National Academy of Sciences, vol. 119, no. 48, 2022.
  4. L. Deng, H. Suo, & D. Li, “Deepfake video detection based on efficientnet-v2 network”, Computational Intelligence and Neuroscience, vol. 2022, p. 1-13, 2022.
  5. S. Balasubramanian, J. R, P. Prabu, K. Venkatachalam, & P. Trojovský, “Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection”, Peerj Computer Science, vol. 8, p. e1040, 2022.

Cite As

Gupta BB (2024) Deep Fakes and Politics: The New Weapon of Misinformation, Insights2Techinfo, pp.1

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