The purpose of this article is to study artificial intelligence and large language models as a tool for political communication in the electoral process. The research methods are the discourse analysis of scientific problems of academic research related to the risks and prospects of using large language models in the political sphere, comparative analysis and the method of predictive scripting. The theoretical significance of the work is to clarify and expand the understanding of the role of artificial intelligence and large language models in ensuring Russia's digital sovereignty. The practical significance of the research is to enrich the theory of the information society with new knowledge about the nature of the influence of Russian-language language models on modern political communications and electoral behavior. The author comes to the conclusion that: 1) The creation of an AI observer's assistant will allow a person to get rid of the routine work with electoral legislation and electoral statistics, freeing up time for qualitative research through personal interviews with candidates, voters and public figures to formulate objective conclusions.; 2) large language models can be used to explain political processes in order to involve citizens in conventional political participation, but the developers of Russian large language models need to reconsider their approaches to restrictions on political topics in order to ensure the protection of the information space for the independent democratic development of Russia. Summarizing the results of the study, the author identified six general principles of composing a high-quality text query, which contributes to the development of the theory of political marketing.
artificial intelligence, large language models, elections, electoral process, public opinion, communications, promting
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