Pre-Bunking Architecture for Government Public Relations Against Deepfake Disinformation

Authors

  • Yeti Rohayati Universitas Langlangbuana, Bandung, Indonesia

DOI:

https://doi.org/10.54783/influencejournal.v5i3.325

Keywords:

Pre-Bunking Architecture, Government Public Relations, Deepfake Disinformation, Strategic Communication, Digital Resilience.

Abstract

The rapid development of artificial intelligence (AI) has accelerated the emergence of deepfake technology, creating new challenges for government public communication. Deepfake-based disinformation has the potential to manipulate public perception, undermine institutional credibility, and weaken trust in government information. Existing government public relations approaches remain predominantly reactive, relying on fact-checking, clarification, and debunking mechanisms after false information has already circulated. This study aims to analyse the challenges posed by deepfake-based disinformation to government public communication, examine the limitations of existing public relations approaches, and formulate a pre-bunking architecture as a preventive communication model for government public relations. This research employs a qualitative design with a descriptive-analytical approach. Data were collected through a literature review of scientific journal articles, books, policy reports, and academic publications related to deepfakes, disinformation, digital governance, and strategic communication. The collected data were analysed using qualitative content analysis through classification, interpretation, comparison, and synthesis of relevant findings from previous studies. The results indicate that deepfake disinformation represents a multidimensional threat that challenges information credibility, democratic communication, and institutional legitimacy. Furthermore, existing government public relations strategies are constrained by reactive communication patterns, institutional fragmentation, limited monitoring capabilities, and insufficient public resilience-building initiatives. As a novelty, this study proposes a pre-bunking architecture consisting of four integrated components: early detection and digital monitoring, strategic pre-emptive communication, multi-stakeholder collaboration, and public digital resilience development. This architecture shifts government communication from reactive information management toward anticipatory communication governance capable of strengthening societal resilience against deepfake-based disinformation and sustaining public trust in the digital era.

References

Bakir, V., & McStay, A. (2018). Fake News and The Economy of Emotions: Problems, causes, solutions. Digital Journalism, 6(2). https://doi.org/10.1080/21670811.2017.1345645

Bennett, W. L., & Livingston, S. (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European Journal of Communication, 33(2). https://doi.org/10.1177/0267323118760317

Bradshaw, S., & Howard, P. N. (2018). Challenging truth and trust: A global inventory of organized social media manipulation. The computational propaganda project, 1, 1-26.

Chesney, B., & Citron, D. (2019). Deep fakes: A looming challenge for privacy, democracy, and national security. California Law Review, 107(6), 1753. https://doi.org/10.15779/Z38RV0D15J

Chesney, R., & Citron, D. (2019). Deepfakes and the new disinformation war: the coming age of post-truth geopolitics. Foreign Affairs, 98(1).

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches. SAGE Publications.

Guess, A. M., Lerner, M., Lyons, B., Montgomery, J. M., Nyhan, B., Reifler, J., & Sircar, N. (2020). A digital media literacy intervention increases discernment between mainstream and false news in the United States and India. Proceedings of the National Academy of Sciences of the United States of America, 117(27). https://doi.org/10.1073/pnas.1920498117

Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S. A., Sunstein, C. R., Thorson, E. A., Watts, D. J., & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380). https://doi.org/10.1126/science.aao2998

Lewandowsky, S., Ecker, U. K. H., & Cook, J. (2017). Beyond Misinformation: Understanding and Coping with the “Post-Truth” Era. Journal of Applied Research in Memory and Cognition, 6(4). https://doi.org/10.1016/j.jarmac.2017.07.008

Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and Its Correction: Continued Influence and Successful Debiasing. Psychological Science in the Public Interest, Supplement, 13(3). https://doi.org/10.1177/1529100612451018

McGuire, W. J. (1964). Inducing resistance to persuasion. Some contemporary approaches. CC Haaland and WO Kaelber (Eds.), Self and Society. An Anthology of Readings, Lexington, Mass. (Ginn Custom Publishing) 1981, pp. 192-230.

Mergel, I. (2013). Social media adoption and resulting tactics in the U.S. federal government. Government Information Quarterly, 30(2). https://doi.org/10.1016/j.giq.2012.12.004

Roozenbeek, J., van der Linden, S., Goldberg, B., Rathje, S., & Lewandowsky, S. (2022). Psychological inoculation improves resilience against misinformation on social media. Science Advances, 8(34). https://doi.org/10.1126/sciadv.abo6254

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104. https://doi.org/10.1016/j.jbusres.2019.07.039

Tandoc, E. C., Lim, Z. W., & Ling, R. (2018). Defining “Fake News”: A typology of scholarly definitions. Digital Journalism, 6(2). https://doi.org/10.1080/21670811.2017.1360143

Vaccari, C., & Chadwick, A. (2020). Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News. Social Media and Society, 6(1). https://doi.org/10.1177/2056305120903408

van Der Linden, S., Roozenbeek, J., & Compton, J. (2020). Inoculating against fake news about COVID-19. Frontiers in psychology, 11, 566790. https://doi.org/10.3389/fpsyg.2020.566790

Villi, M. (2012). Social curation in audience communities: UDC (user-distributed content) in the networked media ecosystem’. Participations: Journal of Audience and Reception Studies, 9(2), 614-632.

Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. science, 359(6380), 1146-1151. https://doi.org/10.1126/science.aap9559

Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking (Vol. 27, pp. 1-107). Strasbourg: Council of Europe.

Westerlund, M. (2019). The emergence of deepfake technology: A review. Technology innovation management review, 9(11). https://doi.org/10.22215/TIMREVIEW/1282

Downloads

Published

29-12-2023

How to Cite

Rohayati, Y. (2023). Pre-Bunking Architecture for Government Public Relations Against Deepfake Disinformation. INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW, 5(3), 230–241. https://doi.org/10.54783/influencejournal.v5i3.325