Artificial Intelligence as a Tool for Shaping Public Image: An Interdisciplinary Approach at the Intersection of Information Technology and PR
Keywords:
artificial intelligence, digital footprint, public image, positioning, strategic communications, personalization, pr, interdisciplinary approachAbstract
TIn the context of digital transformation and the data economy, there is an increasing use of artificial intelligence (AI) technologies to shape a person's public image. This article presents an interdisciplinary approach to solving this problem, combining digital footprint analysis methods and public communication tools. The authors justify the possibility of using modern AI technologies - large language models - to analyze the community audience in order to increase the brand awareness of a scientific laboratory. They demonstrate how the results of AI analysis can be integrated into PR campaigns and personalized communication strategies. The article proposes a methodology at the intersection of IT and PR disciplines, justified both theoretically and by practical case studies from the creative industries and public communications. The results of the study show that strategies developed using a large language model increase the brand awareness of scientific laboratories by 30-50 % on average, increasing the number of reactions, subscribers, and community views.Downloads
References
Аакер Д. Создание сильных брендов / Дэвид А. Аакер. М. : Издательский дом Гребенникова, 2003.
Бакай А. А. Роль коммуникационной стратегии в развитии бренда // Медиа в современном мире. Молодые исследователи : материалы международной конференции. СПб., 2024. С. 43.
Котлер Ф. Маркетинг от А до Я: 80 концепций, которые должен знать каждый менеджер. М. : Альпина Паблишер, 2010. 241 с.
Bykov I. A., Martyanov D. S. Studying Political Communities in VK.com with Network Analysis // Journal Galactica Media. 2021. N 3 (1). P. 64–78. DOI: https://doi.org/10.465339/gmd.v3i1.144.
Freberg K., Graham K., McGaughey K. Who are the social media influencers? A study of public perceptions // Public Relat. Rev. 2011. Vol. 37. N 1. P. 90–92.
Gu J., Wang X., Li C., Zhao J., Fu W., Liang G., Qiu J. AI-enabled image fraud in scientific publications // Patterns. 2022. Vol. 3 (7). P. 100511. DOI: https://doi.org/10.1016/j.patter.2022.100511.
Kliatchko J. Revisiting the IMC construct: A revised definition and four pillars // International Journal of Advertising. 2008. N 27 (1). P. 133–160.
Simon M., et al. Linked in the dark: A network approach to conspiratorial media ecosystems across social platforms // Information, Communicati on & Society. 2022. October. N 26 (2). P. 1-25. DOI 10.1080/1369118X.2022.2133549.
Yessenbek Z., Tleubayeva N., Markabayeva G., Atay S., & Albatyr I. Application of Artificial Intelligence Technologies in Digital PR. // Rotura — Revista De Comunicação, Cultura E Artes. 2025. N 5 (1). P. 83–95. DOI: https://doi.org/10.34623/edqp-b256.
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Copyright (c) 2025 Abramov M.V., Bakai A.A., Gavrilenko O.R., Sheina A.Y.

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