The research analyzes the concept of artificial intelligence (AI) in the media discourse of Telegram channels using large language models (LLM). The research examines the features of verbalization and interpretation of the AI concept in English-speaking and Russian-speaking contexts, identifying key semantic fields and discursive strategies that shape the perception of AI in different linguocultural communities. The English-speaking discourse is characterized by the dominance of corporate vocabulary and the personalization of technological progress through media figures (e.g., Elon Musk and Sam Altman), reflecting the commercialization of AI. In the Russian-speaking discourse, the emphasis is placed on the state’s role in the development of AI, its utilitarian applications in medicine and education, and geopolitical competition. The research methodology includes data collection through the Telegram API, text preprocessing using NLP tools (tokenization, lemmatization, and N-gram analysis), semantic clustering, and data visualization. The results demonstrate that the concept of AI in the English-speaking discourse is constructed as a global commercial product. In the Russian-speaking media space, it is presented as a tool of state policy and national development.

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Research on the Concept of AI in Telegram Channels Using LLM

  • Anna S. Borissova,
  • Yulia A. Starostina

摘要

The research analyzes the concept of artificial intelligence (AI) in the media discourse of Telegram channels using large language models (LLM). The research examines the features of verbalization and interpretation of the AI concept in English-speaking and Russian-speaking contexts, identifying key semantic fields and discursive strategies that shape the perception of AI in different linguocultural communities. The English-speaking discourse is characterized by the dominance of corporate vocabulary and the personalization of technological progress through media figures (e.g., Elon Musk and Sam Altman), reflecting the commercialization of AI. In the Russian-speaking discourse, the emphasis is placed on the state’s role in the development of AI, its utilitarian applications in medicine and education, and geopolitical competition. The research methodology includes data collection through the Telegram API, text preprocessing using NLP tools (tokenization, lemmatization, and N-gram analysis), semantic clustering, and data visualization. The results demonstrate that the concept of AI in the English-speaking discourse is constructed as a global commercial product. In the Russian-speaking media space, it is presented as a tool of state policy and national development.