The features of communicative interaction in public administration in the context of digital transformation
Abstract
The article examines the role of communicative interaction in public administration during digital transformation. It analyses contemporary research reflecting the latest changes in the main channels of public authority communication. The importance of using digital channels for information exchange and artificial intelligence in public administration is determined. Key types of digital communications, channels and tools that are currently widely used by public authorities abroad and in Ukraine are identified. Attention is focused on the problems and examples of the effective use of digital communication tools in developed democratic societies. It has been established that the effectiveness of communication interaction in the modern world depends on the ability of authorities and civil society to adapt quickly to digital transformations. It has been noted that the challenges posed by digitalisation processes require comprehensive study and response from public authorities and citizens. The experience of other countries in the use of modern digital communication tools by public authorities has been analysed. Initiatives to improve communication between public authorities and citizens using the latest technological approaches have been presented.
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Hrynchak, N.А., & Syniakov, A.V. (2023). Digital Communications in Public Administration: Essence, Role and Requirements for Formation. Statistics of Ukraine, 3–4, 112–119. DOI: https://doi.org/ 10.31767/su.3-4(102-103)2023.03-04.09 [in Ukrainian].
Ministry of Digital Transformation of Ukraine. https://thedigital.gov.ua/
Zaiats, O. (2024). The role of social media in public administration: channels of interaction and their effectiveness. Economic Horizons, 2-3(28). DOI: https://doi.org/10.31499/2616-5236.3(28).2024.308214 [in Ukrainian].
Krutii, O.M., & Lopatchenko, I.M. (2018). Strategic communications in public administration under globalization. State Formation, 2. URL: http://nbuv.gov.ua/UJRN/DeBu_2018_2_4 [in Ukrainian].
Lopatchenko, I.M. (2019). Modern media technologies as an effective mechanism of interaction between authorities and the public. Bulletin of the National University of Civil Defense of Ukraine. Series: Public Administration, 1, 146–154. URL: http://nbuv.gov.ua/UJRN/VNUCZUDU_2019_1_26 [in Ukrainian].
Mykhailovska, O.V. (2020). Theoretical aspects of communication interaction in the science of public administration. Theory and Practice of Public Administration, 4, 32–37. DOI: https://doi.org/10.34213/tp.20.04.043 [in Ukrainian].
Rachynska, O. (2019). Modern approaches in organizing of communicative interaction in the public administration sphere. Derzhavne upravlinnya: udoskonalennya ta rozvytok, vol. 2. DOI: https://doi.org/ 10.32702/2307-2156-2019.2.1 [in Ukrainian].
Redchuk, R.O. (2022). Features of the use of social networks in public administration as a modern communication channel. Scientific Notes of the TNU named after V.I. Vernadsky, 33(1), 419–424. DOI: https://doi.org/10.32838/TNU-2663-6468/2022.1/13 [in Ukrainian].
Frolova, N.V. (2019). Features of the use of social networks in the activities of public authorities. Public Administration: Theory and Practice, 1. URL: http://nbuv.gov.ua/UJRN/Patp_2019_1_12 [in Ukrainian].
Acheampong A.O., Taden J. (2024). Does Social Media Penetration Enhance Democratic Institutions? Evidence from Varieties of Democracy Data. Social Indicators Research, vol. 115 (Mar), 1–38. DOI: https://doi.org/10.1007/s11205-024-03329-4
Amershi S., Weld D., Vorvoreanu M., Fourney A., Nushi B., Collisson P., Suh J., Iqbal S., Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. (2019). Guidelines for Human-AI Interaction. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, Glasgow Scotland Uk, 1–13. DOI: https://doi.org/10.1145/3290605.3300233
Choi Y., Kang E.J., Choi S., Lee M.K., and J. Kim. (2024). Proxona: Leveraging LLM-Driven Personas to Enhance Creators’ Understanding of Their Audience. arXiv (2024). DOI: https://doi.org/10.48550/arXiv.2408.10937 arXiv:2408.10937
Corbett Eric and Christopher A. Le Dantec. (2018). The Problem of Community Engagement: Disentangling the Practices of Municipal Government. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ‘18). Association for Computing Machinery, New York, NY, USA, 1–13. DOI: https://doi.org/10.1145/3173574.3174148
D. C. Dennett. (1987). The Intentional Stance. MIT Press.
Erfort, C. (2024). Targeting Voters Online: How Parties’ Campaigns Differ. Electoral Studies 92. December. 2024. URL: https://www.sciencedirect.com/science/article/pii/
S0261379424001306?via%3Dihub
Fish, S., Gölz, P., Parkes, D. C., Procaccia, A. D., Rusak, G., Shapira, I., Wüthrich, M. (2025). Generative Social Choice: A Framework for AI Augmented Democratic Processes. arXiv preprint. Mar 5. 54 p. arXiv:2309.01291 [cs.GT].
Gajos Krzysztof, Z. and Mamykina, Lena. (2022). Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning. 27th International Conference on Intelligent User Interfaces. ACM, Helsinki Finland, 794–806. DOI: https://doi.org/10.1145/3490099.3511138
Gordon Mitchell L., Lam M.S., Joon Sung Park, Kayur Patel, Jeff Hancock, Tatsunori Hashimoto, and Michael S. Bernstein. (2022). Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI Conference on Human Factors in Computing Systems. ACM, New Orleans LA, USA, 1–19. DOI: https://doi.org/10.1145/3491102.3502004
Haotian, Li, Yun, Wang, and Huamin, Qu. (2024). Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration. Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ‘24). Association for Computing Machinery, New York, NY, USA, 1–19. DOI: https://doi.org/10.1145/3613904.3642726
He Zhang, Chuhao Wu, Jingyi Xie, Yao Lyu, Jie Cai, and John M. Carroll. (2023). Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis. arXiv:2309.10771
Horvitz Eric. (1999). Principles of Mixed-Initiative User Interfaces. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘99). Association for Computing Machinery, New York, NY, USA, 159–166. DOI: https://doi.org/10.1145/302979.303030
Jones, K. (2022). Protecting Political Discourse from Online Manipulation: The International Human Rights Law Framework. URL: https://www.ohchr.org/sites/default/files/documents/issues/religion/cfi-ga76/submissions/2022-12-19/submission-freedom-thought-ga76-others-katejones-2_0.pdf
Lanuza, J.M.H.; Ong, J.C. (2024). From disinformation campaigns to influence operations: New campaign tactics and legacy media bypass in the Philippines. The Routledge Handbook of Political Campaigning; Lilleker, D., Jackson, D., Kalsnes, B., Mellado, C., Trevisan, F., Veneti, A. (Eds.). Routledge: London, UK, 2024, P. 185–198.
Larsen, M.C.; Bélair-Gagnon, V. (2024). Social platforms and the spread of disinformation. In The Routledge Handbook of Political Campaigning; Lilleker, D., Jackson, D., Kalsnes, B., Mellado, C., Trevisan, F., Veneti, A. (Eds.). Routledge: London, UK, P. 286–299.
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin does eng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al. (2023). A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions. ACM Transactions on Information Systems.
Lorenz-Spreen, P., Oswald, L., Lewandowsky, S. et al. (2023). A systematic review of worldwide causal and correlational evidence on digital media and democracy. Nat Hum Behav, 7, 74–101. DOI: https://doi.org/10.1038/s41562-022-01460-1
Mahyar Narges, Diana V. Nguyen, Maggie Chan, Jiayi Zheng, and Steven P. Dow. (2019). The Civic Data Deluge: Understanding the Challenges of Analyzing Large-Scale Community Input. Proceedings of the 2019 on Designing Interactive Systems Conference. ACM, San Diego CA USA, 1171–1181. DOI: https://doi.org/10.1145/3322276.3322354
Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Daniel See, Ritesh Noothigattu, Siheon Lee, Alexandros Psomas, and Ariel D. Procaccia. (2019). WeBuildAI: Participatory Framework for Algorithmic Governance. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (Nov. 2019), 1–35. DOI: https://doi.org/10.1145/3359283
Overney C., Daniel T. Kessler, Suyash P. Fulay, Mahmood Jasim, and Deb Roy. (2025). Coalesce: An Accessible Mixed-Initiative System for Designing Community-Centric Questionnaires. Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI ‘25) (Cagliari, Italy). ACM, New York, NY, USA, 24. DOI: https://doi.org/10.1145/3708359.3712118
Overney, C. (2025). Designing for Constructive Civic Communication: A Framework for Human AI Collaboration in Community Engagement Processes. arXiv preprint. May 16. 10 p. DOI: https://doi.org/10.48550/arXiv.2505.11684
Panagopoulou, A. (2025). Artificial Intelligence and Democracy: Towards Digital Authoritarianism or a Democratic Upgrade? arXiv preprint. apr 1. 20 p. DOI: https://doi.org/10.48550/arXiv.2504.01034
Papadopoulou, A. (2024). False News and Intolerant Discourse. Rule of Law and Democracy in the Digital Age, ed. Giorgos Karavokyris (Athens: Hellenic Parliament Foundation for Parliamentarism and Democracy, 99 ff. (117).
Panagopoulou-Koutnatzi, F. (2023). Artificial Intelligence: The Road Towards Digital Constitutionalism. An Ethico-Constitutional Consideration (Athens: Papazisis Publications, 221 ff.
Persily, N., Tucker, J.A. (Eds.) (2020). Social Media and Democracy: The State of the Field, Prospects for Reform. Cambridge: Cambridge University Press. DOI: https://doi.org/10.1017/9781108890960.
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). (2024). Official Journal of the European Union. L 1689. 12 July. P. 1–144. URL: https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng
Sajad, M.B. (2023). Political Communications and Disinformation: The Flow of Unchecked Information and Internet Governance in the 21st Century. URL: https://ssrn.com/abstract=4591045 (accessed on 31 May 2025).
Shneiderman Ben. (2020). Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. International Journal of Human–Computer Interaction 36, 6 (April 2020), 495–504. DOI: https://doi.org/10.1080/10447318.2020.1741118
Shubham Singh. (2025). Social media users in the World (2025 Demographics). DemandSage. URL: https://www.demandsage.com/social-media-users/
Slattery, P., Saeri, A.K., Grundy, E.A.C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., and Thompson, N. (2024). A Systematic Evidence Review and Common Frame of Reference for the Risks from Artificial Intelligence. DOI: https://doi.org/10.48550/arXiv.2408.12622 arXiv:2408.12622
Small C. T., Vendrov I., Durmus E., Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli, and Colin Megill. (2023). Opportunities and Risks of LLMs for Scalable Deliberation with Polis. DOI: https://doi.org/10.48550/arXiv.2306.11932 arXiv:2306.11932
Suzor Nicolas (2018). Digital Constitutionalism: Using the Rule of Law to Evaluate the Legitimacy of Governance by Platforms. Social Media + Society. URL: https://journals.sagepub.com/doi/10.1177/2056305118787812
UNESCO. (2024). Artificial Intelligence and Democracy. URL: https://unesdoc.unesco.org/ark:/48223/pf0000389736
Xiao Ge, Chunchen Xu, Daigo Misaki, Hazel Rose Markus, and Jeanne L Tsai. (2024). How Culture Shapes What People Want From AI. Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ‘24). Association for Computing Machinery, New York, NY, USA, 1–15. DOI: https://doi.org/10.1145/3613904.3642660
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, et al. (2023). Siren’s song in the AI ocean: a survey on hallucination in large language models. arXiv preprint arXiv:2309.01219 (2023).
Yunfeng Zhang, Q Vera Liao, and Rachel KE Bellamy. (2020). Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making. Proceedings of the 2020 conference on fairness, accountability, and transparency. 295–305.
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch. (2023). Improving factuality and reasoning in language models through multiagent debate. arXiv preprint arXiv:2305.14325 (2023).
Zhang Angie, Olympia Walker, Kaci Nguyen, Jiajun Dai, Anqing Chen, and Min Kyung Lee. (2023). Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation. Proceedings of the ACM on Human-Computer Interaction 7, CSCW1 (April 2023), 1–32. DOI: https://doi.org/10.1145/3579601
Zhong-Ren Peng, Kai-Fa Lu, Yanghe Liu, and Wei Zhai. (2023). The Pathway of Urban Planning AI: From Planning Support to Plan-Making. Journal of Planning Education and Research (June 2023), 0739456X231180568. DOI: https://doi.org/10.1177/0739456X231180568
