Foreign information manipulation and interference as a trust-impairment mechanism in the age of artificial intelligence
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DOIhttps://doi.org/10.21511/gg.07(1).2026.06
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Article InfoVolume 7 2026, Issue #1, pp. 70-87
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Type of the article: Research Article
Foreign information manipulation and interference (FIMI) increasingly operates in an information environment shaped by artificial intelligence, cross-platform circulation, and long-term narrative exposure. This paper develops an audience-centered relational framework for conceptualizing how AI-enabled FIMI may impair institutional trust in democratic societies. Rather than treating FIMI primarily as a problem of false content or message diffusion, the study examines how manipulative narratives may work through five interconnected dimensions: audience segmentation and targeting, narrative positioning, involvement and persuasion pathways, touchpoint configuration and information journey, and relationship degradation and trust impairment. Methodologically, this is a conceptual and theoretical study. It uses publicly available official reports, policy documents, public analyses, media reports, and think-tank publications concerning defense-related information narratives in Taiwan from 2022 to the first half of 2026 as illustrative materials, rather than as a systematically collected empirical dataset. The Taiwan case is therefore used as a theory-guided illustrative application, not as an empirical test of causal effects. The framework illustrates three possible trust-impairment pathways: weakening confidence in government competence, eroding credibility in democratic institutions, and reducing public identification with collective resilience. The study contributes to FIMI research by shifting attention from isolated messages to cumulative relational processes through which AI-enabled narrative environments may contribute to the gradual weakening of democratic trust.
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JEL Classification (Paper profile tab)D83, F52, O33, M31
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References42
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Tables0
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Figures1
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- Figure 1. An audience-centered relational framework of AI-Enabled FIMI and institutional trust impairment
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- Aagaard, P., & Marthedal, S. (2023). Political microtargeting: Towards a pragmatic approach. Internet Policy Review, 12(1).
- Bakir, V. (2020). Psychological operations in digital political campaigns: Assessing Cambridge Analytica’s psychographic profiling and targeting. Frontiers in Communication, 5, Article 67.
- Ben-Ari, E. (2021). Taiwan’s changing military covenant and the armed forces’ institutional autonomy. Journal of Political & Military Sociology, 48(2), 174-197.
- Bennett, W. L., & Livingston, S. (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European Journal of Communication, 33(2), 122-139.
- Bradshaw, S., & Howard, P. N. (2019). The global disinformation order: 2019 global inventory of organised social media manipulation (Working Paper 2019.2). Oxford Internet Institute.
- Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A., & Van Bavel, J. J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences, 114(28), 7313-7318.
- Central News Agency. (2026, May 4). Ministry of National Defense: CCP cognitive warfare has shifted from isolated infiltration to systematic deployment. (In Chinese).
- Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 212-252). Guilford Press.
- Chang, W.-H., & Chen, C.-S. (2026). EU strategies against foreign information manipulation and interference: An overview. Defense Security Biweekly, 106, 9-14. (In Chinese).
- Deppe, C., & Schaal, G. S. (2024). Cognitive warfare: A conceptual analysis of the NATO ACT cognitive warfare exploratory concept. Frontiers in Big Data, 7, Article 1452129.
- Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Reviews Psychology, 1, 13-29.
- European External Action Service (EEAS). (2025). 3rd EEAS report on foreign information manipulation and interference threats: Exposing the architecture of FIMI operations.
- Feuerriegel, S., DiResta, R., Goldstein, J. A., Kumar, S., Lorenz-Spreen, P., Tomz, M., & Pröllochs, N. (2023). Research can help to tackle AI-generated disinformation. Nature Human Behaviour, 7(11), 1818-1821.
- Fletcher, R., & Nielsen, R. K. (2018). Are people incidentally exposed to news on social media? A comparative analysis. New Media & Society, 20(7), 2450-2468.
- Fournier, S. (1998). Consumers and their brands: Developing relationship theory in consumer research. Journal of Consumer Research, 24(4), 343-373.
- Goldstein, J. A., Sastry, G., Musser, M., DiResta, R., Gentzel, M., & Sedova, K. (2023). Generative language models and automated influence operations: Emerging threats and potential mitigations. arXiv.
- Helmus, T. C., & Chandra, B. (2024, April 16). Generative artificial intelligence threats to information integrity and potential policy responses. RAND Corporation.
- Heward, C., Li, W., Chun Tie, Y., & Waterworth, P. (2024). A scoping review of military culture, military identity, and mental health outcomes in military personnel. Military Medicine, 189(11-12), e2382-e2393.
- Homburg, C., Jozić, D., & Kuehnl, C. (2017). Customer experience management: Toward implementing an evolving marketing concept. Journal of the Academy of Marketing Science, 45, 377-401.
- Hung, T.-C., & Hung, T.-W. (2022). How China’s cognitive warfare works: A frontline perspective of Taiwan’s anti-disinformation wars. Journal of Global Security Studies, 7(4), Article ogac016.
- Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10, 18-26.
- Kalpokas, I. (2017). Information warfare on social media: A brand management perspective. Baltic Journal of Law & Politics, 10(1), 35-62.
- Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy online controlled experiments: A practical guide to A/B testing. Cambridge University Press.
- Kotler, P., & Keller, K. L. (2012). Marketing management (14th ed.). Prentice Hall.
- 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), 1094-1096.
- Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96.
- Levi, M., & Stoker, L. (2000). Political trust and trustworthiness. Annual Review of Political Science, 3, 475-507.
- MacInnis, D. J. (2011). A framework for conceptual contributions in marketing. Journal of Marketing, 75(4), 136-154.
- Matz, S. C., Kosinski, M., Nave, G., & Stillwell, D. J. (2017). Psychological targeting as an effective approach to digital mass persuasion. Proceedings of the National Academy of Sciences, 114(48), 12714-12719.
- Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38.
- National Security Bureau (NSB). (2024). China’s disinformation dissemination patterns in 2024.
- National Security Bureau. (2026). Analysis of the Chinese Communist Party’s cognitive warfare tactics against Taiwan in 2025. (In Chinese).
- North Atlantic Treaty Organization (NATO). (2025, February 3). NATO’s approach to counter information threats.
- Office of the President, Republic of China (Taiwan). (2022, December 27). President Tsai announces military force realignment plan.
- Pathak, R., Spezzano, F., & Pera, M. S. (2023). Understanding the contribution of recommendation algorithms on misinformation recommendation and misinformation dissemination on social networks. ACM Transactions on the Web, 17(4), 1-26.
- Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123-205.
- Sedova, K., McNeill, C., Johnson, A., Joshi, A., & Wulkan, I. (2021). AI and the future of disinformation campaigns: Part 2: A threat model. Center for Security and Emerging Technology.
- Slovic, P. (1987). Perception of risk. Science, 236(4799), 280-285.
- Tzeng, Y.-S. (2026). The rise of AI scams and their challenges to countering cognitive operations. Defense Security Biweekly, 111, 25-32.
- Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151.
- Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking. Council of Europe.
- Wu, C.-C., & Fan, S.-C. (2026). Exploring the predictive effects of family socioeconomic status, parental support, and career adaptability among military cadets: How does socioeconomic status moderate career adaptability? Journal of General Education: Concept and Practice, 14(1), 1-52.
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Fintech in the eyes of Millennials and Generation Z (the financial behavior and Fintech perception)
Mohannad A. M. Abu Daqar
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Samer Arqawi ,
Sharif Abu Karsh
doi: http://dx.doi.org/10.21511/bbs.15(3).2020.03
Banks and Bank Systems Volume 15, 2020 Issue #3 pp. 20-28 Views: 14299 Downloads: 3542 TO CITE АНОТАЦІЯThis study investigates the Millennials and Gen Z perception toward Fintech services, their usage intention, and their financial behavior. The study took place in the Palestinian context with a global comparison among these generations. The authors used the questionnaire-based technique to meet the study objective. West Bank respondents were selected for this purpose; the study instrument was distributed through different social media channels. The findings show that reliability/trust and ease of use are the main issues in using a financial service. Millennials are more aware (48%) of Fintech services than Gen Z (38%), which is different from the global view where Gen Z is the highest. The smartphone penetration rate is 100% among both generations, while the financial inclusion ratio in Palestine is around 36.4%; these clear indicators are the main Fintech drivers to promote Fintech services in Palestine, and these are global indicators for Fintech adoption intention. Both generations (84%) intend to use e-wallet services, Millennials (87%) and Gen Z is (70%) prefer using real-time services. Half of the respondents see that Fintech plays a complementary role with banks. The majority see that Fintech services are cheaper than bank services. Wealth management, and robot advisor services, and both generations are looking to acquire them in the long run. The authors revealed that 85% of respondents from both generations trust banks, so it is recommended that banks digitize their financial services to meet the customers’ needs, considering that 90% of respondents see that promotions are a key issue in adopting Fintech services. Promoting e-wallet services by banks is highly recommended due to the massive rivalry with Fintech parties.
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Civil servants’ readiness for AI adoption: The role of change management in Morocco’s public sector
Mohamed Barodi 
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Siham Lalaoui
doi: http://dx.doi.org/10.21511/ppm.23(1).2025.05
Problems and Perspectives in Management Volume 23, 2025 Issue #1 pp. 63-75 Views: 6155 Downloads: 1282 TO CITE АНОТАЦІЯThe rapid digital transformation of public systems has improved interactions between governments and citizens. In Morocco, while efforts to digitalize public administration continue, the integration of artificial intelligence presents new challenges due to structural and technical limitations. This study explores the openness of Moroccan civil servants to adopting artificial intelligence solutions and examines the role of change management in facilitating this process. A quantitative approach was employed, with 129 civil servants from key ministries – Education, Finance, and Health – completing an online questionnaire. These ministries were selected due to their critical importance in the public system and their frequent interactions with citizens. Furthermore, they played a central role in the National Administrative Reform Plan (2018–2022), which emphasized digital transformation as a key pillar in advancing e-government. The collected data were analyzed using SPSS, enabling a comprehensive analysis of the factors influencing AI adoption. The findings reveal that while younger civil servants are more open to AI, over 40% of respondents pointed to insufficient digital skills as a major barrier to artificial intelligence integration. The study underscores the importance of effective change management strategies, highlighting that strong leadership and clear communication are essential in promoting artificial intelligence receptiveness and ensuring seamless integration within Morocco’s public sector.
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The influence of unverified news and electronic word-of-mouth on customer satisfaction and purchase intention: An empirical study on the food and beverage industry
Ngoc-Hong Duong ,
Chi Viet Duong ,
Thien Kim Nguyen Ba ,
Bao Tran Tran ,
Minh Chau Thai
doi: http://dx.doi.org/10.21511/im.21(1).2025.12
Innovative Marketing Volume 21, 2025 Issue #1 pp. 142-156 Views: 5515 Downloads: 874 TO CITE АНОТАЦІЯIn the digital age, unverified news and electronic word-of-mouth (e-WOM) have become pervasive, raising concerns about their influence on customer behavior and decision-making. This research aims to investigate how unverified news affects customer purchase intention and satisfaction, emphasizing the mediating role of brand image within customer relationship management. Using the Elaboration Likelihood Model (ELM) as the theoretical framework, the study collected the data from 378 undergraduate and postgraduate students in Vietnam. The hypotheses were tested through Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS4. There are two significant results. Firstly, unverified news has significantly influenced brand image and trust, leading to customer satisfaction and purchase intention. Secondly, brand image plays a mediating role in the relationship between e-WOM and purchase intention. This research contributes to the marketing literature by demonstrating how unverified news shapes consumer behavior. The findings provide actionable insights for businesses to adapt their marketing strategies, addressing the growing challenges of misinformation to improve brand trust and customer satisfaction in today’s information-driven market.
