Journal of Modern Foreign Psychology
2025. Vol. 14, no. 2, 26–37
doi:10.17759/jmfp.2025140203
ISSN: 2304-4977 (online)
Psychological mechanisms of destructive manipulation and strategies for preventing digital fraud
Abstract
Context and relevance. The complex and international nature of the economic, social, moral and psychological damage caused by digital fraud, and its size, determines the search for ways to counteract and improve the safety of human activities in the digital environment. Objective: to identify the main research areas and model approaches for describing the mechanisms of destructive influence in the fraudster-victim system, to summarize the experience of international practices in countering cyberbullying and methods of its prevention. Method: scientific and critical system analysis of the phenomenon and its mechanisms, generalization and creative processing of materials from an international research search. Hypothesis: the universality of psychological mechanisms of destructive manipulative influence can become the basis for the search for means to counteract fraudulent strategies and the development of methods to prevent vulnerability to deception. Results: The anonymity of the Internet environment and the possibility of covert influence ensures the effectiveness of modern cyberbullying, the main mechanism of which is destructive manipulative influence carried out using artificial intelligence technologies that increase the reliability of false content and complicate the timely detection of deception. Modern foreign studies categorize the types of digital fraud and typify the phenomenology of manipulation in the «fraudster—victim» system, using the «Fraud Diamond», «Karpman Dramatic Triangle», «Dark and Light Triads», and «Big Five» models to describe the mechanisms of action. Information, educational, and preventive and communicative models combined with the introduction of technical means for detecting and suppressing fraudulent activities. Conclusions. In the current situation of the development of cyberbullying, the need for an interdisciplinary approach and the development of an integrative methodology for research and development and the implementation of prevention systems against destructive influences for fraudulent purposes is actualized. The focus of prevention should be shifted from an information and educational approach to a model of active learning in the skills of recognizing and countering manipulation, and the formation of mental and emotional attitudes related to the value aspects of the Self-concept of personality.
General Information
Journal rubric: Legal Psychology and Psychology of Safety
Article type: review article
DOI: https://doi.org/10.17759/jmfp.2025140203
Funding. The research was carried out within the framework of the state assignment of the Ministry of Education of the Russian Federation. Topic No. 125062507558-8 «Development of a methodology for preventing the negative consequences of destructive information and psychological effects on children and youth in the digital communications space».
Received 11.04.2025
Accepted
Published
For citation: Rozenova, M.I., Ognev, A.S., Likhacheva, E.V. (2025). Psychological mechanisms of destructive manipulation and strategies for preventing digital fraud. Journal of Modern Foreign Psychology, 14(2), 26–37. (In Russ.). https://doi.org/10.17759/jmfp.2025140203
© Rozenova M.I., Ognev A.S., Likhacheva E.V., 2025
License: CC BY-NC 4.0
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References
- Abubakari, Y. (2024). Modelling the modus operandi of online romance fraud: Perspectives of online romance fraudsters. Journal of Economic Criminology, 6, Article 100112. https://doi.org/10.1016/j.jeconc.2024.100112
- Ambashtha, K.L., Kumar, P. (2023). Online Fraud. In: C.M. Gupta (Ed.), Financial Crimes: A Guide to Financial Exploitation in a Digital Age (pp. 97—108). Cham: Springer. http//doi.org/10.1007/978-3-031-29090-9_7
- Antonicelli, S., Felski, E.A. (2024). The effect of the dark triad on organizational fraud. Journal of Forensic Accounting Research, 9(1), 155—166. http//doi.org/10.2308/JFAR-2023-033
- Aphek, M., Cojocaru, D. (2024). Why do they do it? A comprehensive review of the fraud triangle and the fraud diamond among fraud offenders. Educatia, 28, 392—398. http//doi.org/10.24193/ed21.2024.28.43
- Brownell, K.M., McMullen, J.S., O’Boyle, E.H. Jr. (2021). Fatal attraction: A systematic review and research agenda of the dark triad in entrepreneurship. Journal of Business Venturing, 36(3), Article 106106. http//doi.org/10.1016/j.jbusvent.2021.106106
- Buil-Gil, D., Zeng, Y. (2021). Meeting you was a fake: Investigating the increase in romance fraud during COVID-19. Journal of Financial Crime, 29(2), 460—475, http//doi.org/10.1108/JFC-02-2021-0042
- Burnes, D., Henderson, C.R. Jr., Sheppard, C., Zhao, R., Pillemer, K., Lachs, M.S. (2017). Prevalence of financial fraud and scams among older adults in the united states: A systematic review and meta-analysis. American journal of public health, 107(8), e13—e21. http// doi.org/10.2105/AJPH.2017.303821
- Carroll, M., Chan, A., Ashton, H., Krueger, D. (2023). Characterizing manipulation from AI systems. In: EAAMO '23: Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (pp. 1—13). New York: Association for Computing Machinery. http//doi.org/10.1145/3617694.3623226
- Carter, E. (2021). Distort, extort, deceive and exploit: Exploring the inner workings of a romance fraud. The British Journal of Criminology, 61(2), 283—302. http//doi.org/10.1093/bjc/azaa072
- Cassiman, A. (2019). Spiders on the world wide web: Cyber trickery and gender fraud among youth in an Accra zongo. Social Anthropology/Anthropologie Sociale, 27(3), 486—500. http//doi.org/10.1111/1469-8676.12678
- Coluccia, A., Pozza, A., Ferretti, F., Carabellese, F., Masti, A., Gualtieri, G. (2020). Online romance scams: Relational dynamics and psychological characteristics of the victims and scammers. A scoping review. Clinical practice and epidemiology in mental health, 16, 24—35. http//doi.org/10.2174/1745017902016010024
- Cross, C., Holt, T.J. (2021). The use of military profiles in romance fraud schemes. Victims & Offenders, 16(3), 385—406. http//doi.org/10.1080/15564886.2020.1850582
- Cross, C., Lee, M. (2022). Exploring fear of crime for those targeted by romance fraud. Victims & Offenders, 17(5), 735—755. http//doi.org/10.1080/15564886.2021.2018080
- Dickinson, T., Wang, F. (2024). Neutralizations, altercasting, and online romance fraud victimizations. Deviant Behavior, 45(5), 736—751. http//doi.org/10.1080/01639625.2023.2263610
- Dove, M. (2020). The psychology of fraud, persuasion and scam techniques: Understanding what makes us vulnerable. London: Routledge. http//doi.org/10.4324/9781003015994
- Egiyi, M.A., Chindengwike, J. (2023). The psychology behind financial fraud: Unmasking motives and warning signs. Contemporary Journal of Psychology and Behavioral Science, 4(1), 16—24. http//doi.org/10.5281/zenodo.8287913
- Fletcher, E. (2022). Social media a gold mine for scammers in 2021. Federal Trade Commission. URL: https://www.ftc.gov/news-events/data-visualizations/data-spotlight/2022/01/social-media-gold-mine-scammers-2021 (viewed: 18.06.2025).
- Furnham, A., Treglown, L. (2021). The dark side of high-fliers: The dark triad, high-flier traits, engagement, and subjective success. Frontiers in Psychology, 12, Article 647676. http//doi.org/doi.org/10.3389/fpsyg.2021.647676
- Hanafi, A.H.A., Saufi M.S.A.M., Haji, M.Z., Wahab, S.C.S., Muhammad, M.H. (2024). The intersection of faith and fraud: Analyzing the dynamics of faith manipulation in investment schemes. International Journal of Research and Innovation in Social Science, 8(9), 2878—2885. http//doi.org/10.47772/IJRISS.2024.8090241
- Heiding, F., Schneier, B., Vishwanath, A., Bernstein, J., Park, P.S. (2024). Devising and detecting phishing emails using large language models. IEEE Access, 12, 42131—42146. http//doi.org/10.1109/ACCESS.2024.3375882
- Karabatak, O. (2023). Cognitive behavioral therapy (CBT) for criminal behaviors. In: S. Güney (Ed.), Criminal Behavior — The Underlyings, and Contemporary Applications (pp. 1—20). Ankara: IntechOpen. http//doi.org/10.5772/intechopen.1002039
- Kaushik, P., Garg, V., Priya, A., Kant, S. (2024). Financial fraud and manipulation: The malicious use of deepfakes in business. In: G. Gupta, S. Bohara, R.K. Kovid, K. Pandla (Eds.), Deepfakes and Their Impact on Business (pp. 173—196). Hershey: IGI Global, http//doi.org/10.4018/979-8-3693-6890-9.ch008
- Kelley, N.J., Hurley-Wallace A.L., Warner, K.L., Hanoch, Y. (2023). Analytical reasoning reduces internet fraud susceptibility. Computers in Human Behavior, 142, Article 107648. https://doi.org/10.1016/j.chb.2022.107648
- Lac, A., Donaldson, C.D. (2022). Development and Validation of the Drama Triangle Scale: Are You a Victim, Rescuer, or Persecutor? Journal of Interpersonal Violence, 37(7—8), NP4057—NP4081 http//doi.org/10.1177/0886260520957696
- Lazarus, S., Whittaker, J.M., McGuire, M.R., Platt, L. (2023). What do we know about online romance fraud studies? A systematic review of the empirical literature (2000 to 2021). Journal of Economic Criminology, 2, Article 100013. http//doi.org/10.1016/j.jeconc.2023.100013
- Maulidi, A. (2025). The enigma of fraud as a unique crime and its resonance for auditing research and practice: Unlearned lessons of psychological pathways to fraud. Journal of Accounting & Organizational Change, 21(1), 48—69. http//doi.org/10.1108/JAOC-04-2023-0076
- Modesto, J.G., Pilati, R. (2020). «Why are the corrupt, corrupt?»: The multilevel analytical model of corruption. The Spanish journal of psychology, 23, Article e5. http//doi.org/10.1017/SJP.2020.5
- Park, P.S., Goldstein, S., O’Gara, A., Chen, M., Hendrycks, D. (2024). Al deception: A survey of examples, risks, and potential solutions. Patterns, 5(5), Article 100988. http//doi.org/10.1016/j.patter.2024.100988
- Perle, J.G., Frye, W.S., McCoy, T. (2024). Data security in the digital age: A consolidated guide for psychologists to understand health insurance portability and accountability act-compliant telehealth. Translational Issues in Psychological Science, 10(2), 111—122. https://doi.org/10.1037/tps0000403
- Sarkar, G., Shukla, S.K. (2023). Behavioral analysis of cybercrime: Paving the way for effective policing strategies. Journal of Economic Criminology, 2, Article 100034. http//doi.org/10.1016/j.jeconc.2023.100034
- Schreiber, A., Marcus, B. (2020). The place of the «Dark Triad» in general models of personality: Some meta-analytic clarification. Psychological Bulletin, 146(11), 1021—1041. http//doi.org/10.1037/bul0000299
- Schyns, B., Braun, S., Neves, P. (2022). Connecting dark personality research with workplace issues. Zeitschrift für Psychologie, 230(4), 277—279. https://doi.org/10.1027/2151-2604/a000507
- Shappie, A.T., Dawson, C.A., Debb, S.M. (2020). Personality as a predictor of cybersecurity behavior. Psychology of Popular Media Culture, 9(4), 475—480. http//doi.org/10.1037/ppm0000247
- Sleep, C.E., Lynam, D.R., Miller, J.D. (2021). A comparison of the validity of very brief measures of the big five/five-factor model of personality. Assessment, 28, 739—758. http//doi.org/10.1177/1073191120939160
- Szabó, Z.P., Simon, E., Czibor, A., Restás, P., Bereczkei, T. (2021). The importance of dark personality traits in predicting workplace outcomes. Personality and Individual Differences, 183, Article 111112. http//doi.org/10.1016/j.paid.2021.111112
- Tweed, E., Cimova, K., Craig, P., Allik, M., Brown, D., Campbell, M., Henderson, D., Mayor, C., Meier, P., Watson, N. (2024). Unlocking data: Decision-maker perspectives on cross-sectoral data sharing and linkage as part of a whole-systems approach to public health policy and practice. Public Health Research (Southampt). Preprint. http//doi.org/10.3310/KYTW2173
- Upadhyay, D., Baber, H. (2023). The Concept of the dark triad: Effect on organizational outcomes and navigating strategies. Changing Societies & Personalities, 7(4), 158—173. http//doi.org/10.15826/csp.2023.7.4.256
- Verma, A. (2024). The impact of call spoofing on trust and communication: A user perception study. International Journal of Safety & Security Engineering, 14(2), 487—498. http//doi.org/10.18280/ijsse.140216
- Vize, C.E., Byrd, A.L., Stepp, S.D. (2023). The relative importance of psychopathy features as predictors of externalizing behaviors in youth: A multimethod examination. Journal of Psychopathology and Behavioral Assessment, 45, 1—17. http//doi.org/10.1007/s10862-022-10017-5
- Wang, F., Zhou, X. (2023). Persuasive schemes for financial exploitation in online romance scam: An anatomy on sha zhu pan (杀猪盘) in China. Victims & Offenders, 18(5), 915—942. http//doi.org/10.1080/15564886.2022.2051109
- Wen, X., Xu, L., Wang, J., Gao, Y., Shi, J., Zhao, K., Tao, F., Qian, X. (2022). Xiuying qian mental states: A key point in scam compliance and warning compliance in real life. International Journal of Environmental Research and Public Health, 19(14), Article 8294. http//doi.org/10.3390/ijerph19148294
- Wendel, B.E., Rocque, M., Posick, C. (2022). Rethinking self-control and crime: Are all forms of impulsivity criminogenic? European Journal of Criminology, 19(4), 523—541. http//doi.org/10.1177/1477370820902992
- Wiederhold, B.K. (2024). Digital desires, real losses: The complex world of online romance fraud. Cyberpsychology, Behavior, and Social Networking, 27(5), 300—302. http//doi.org/10.1089/cyber.2024.29311.editorial
- Yip, J.A, Lee, K.K. (2022). Emotions and ethics: How emotions sensitize perceptions of the consequences for self and others to motivate unethical behavior. Current Opinion in Psychology, 48, Article 101464. https://doi.org/10.1016/j.copsyc.2022.101464
- Zhuravlova, L.P., Pomytkina, L.V., Lytvynchuk, A.I., Mozharovska, T.V., Zhuravlov, V.F. (2020). Psychological security in the conditions of using information and communication technologies. In: Proceedings of the 1st Symposium on Advances in Educational Technology, 2 (pp. 216—223). http//doi.org/10.5220/0010930200003364
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