ARTIFICIAL INTELLIGENCE, DEEPFAKES, AND THE MISINFORMATION CHALLENGE JOURNALISTS’ PERSPECTIVES FROM PAKISTAN

Authors

  • Hafiz Muhammad Muddser PhD Scholar, Department of Media and Communication Studies, The Islamia University of Bahawalpur, Pakistan. Author
  • Awais H. Gillani Assistant Professor, Department of Media and Communication Studies, The Islamia University of Bahawalpur, Pakistan. Author

Keywords:

Deepfakes, AI-Generated Misinformation, Journalism Ethics, News Credibility, Content Verification, Editorial Oversight, Pakistani Newsrooms, AI In Media

Abstract

The proliferation of deepfakes and AI-generated misinformation has introduced unprecedented ethical and operational challenges for contemporary journalism. This study investigates how Pakistani journalists perceive the impact of deepfakes and AI-assisted misinformation on news credibility, verification practices, and audience trust. Drawing on survey data from 387 journalists across print, broadcast, and digital media, the study employs quantitative analysis using Likert-scale measures to assess perceptions of risk, ethical concerns, and professional safeguards. Reliability of the survey instrument was confirmed via Cronbach’s alpha (α = 0.87), indicating strong internal consistency. Findings reveal that journalists are acutely aware of the threats posed by deepfakes and misinformation, reporting heightened challenges in verifying sources, maintaining accuracy, and preventing the dissemination of fabricated content. Moreover, respondents emphasize the necessity of ethical safeguards, including disclosure of AI-assisted content and rigorous editorial oversight. The study highlights the growing gap between technological innovation and existing verification practices, suggesting an urgent need for targeted training, institutional policies, and regulatory frameworks. By foregrounding journalists’ perspectives, the research contributes to the global discourse on AI-driven misinformation and ethical journalism in developing media ecosystems.

Downloads

Download data is not yet available.

References

Chesney, R., & Citron, D. K. (2019). Deep fakes: A looming challenge for privacy, democracy, and national security. California Law Review, 107(6), 1753–1819. https://doi.org/10.2139/ssrn.3213954

Diakopoulos, N. (2019). Automating the news: How algorithms are rewriting the media. Harvard University Press.

Farid, H. (2018). Photo and video forgery detection. In K. P. Murphy (Ed.), Annual review of statistics and its application, 5, 93–116. https://doi.org/10.1146/annurev-statistics-031017-100318

Hansen, A., Allan, S., & Cottle, S. (2018). Digital news and the politics of misinformation: Challenges for journalism. Routledge.

King, G., Pan, J., & Roberts, M. E. (2017). How the Chinese government fabricates social media posts for strategic distraction, not engaged argument. American Political Science Review, 111(3), 484–501. https://doi.org/10.1017/S0003055417000144

Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., … Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096. https://doi.org/10.1126/science.aao2998

Marwick, A., & Lewis, R. (2017). Media manipulation and disinformation online. Data & Society Research Institute.

Vaccari, C., & Chadwick, A. (2020). Deepfakes and disinformation: Exploring the impact of synthetic political video on deception, uncertainty, and trust in news. Social Media + Society, 6(1), 1–13. https://doi.org/10.1177/2056305120903408

West, D. M. (2019). The future of work: Robots, AI, and automation. Brookings Institution Press.

Zhou, P., Han, X., Morariu, V., & Davis, L. S. (2018). Learning rich features for image manipulation

detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1053–1061). https://doi.org/10.1109/CVPR.2018.00116

Published

2026-02-28

How to Cite

Hafiz Muhammad Muddser, & Awais H. Gillani. (2026). ARTIFICIAL INTELLIGENCE, DEEPFAKES, AND THE MISINFORMATION CHALLENGE JOURNALISTS’ PERSPECTIVES FROM PAKISTAN. International Premier Journal of Languages & Literature, 4(2), 101-113. https://ipjll.com/ipjll/index.php/journal/article/view/413