Inside hyperintelligence: communicative systems and indirect impact

The development of intelligent systems based on artificial intelligence transforms the nature of communication, giving rise to new forms of speech interaction. This creates the need to revise classical communication models in the context of the generation of simulacra that actively affect the user. The purpose of the work is to analyze the artificiative as a genre of network discourse generated by artificial intelligence, and to identify the mechanisms of its speech impact. The tasks include determining the specifics of indirect communication, classifying its models and describing strategies for creating the illusion of a natural dialogue. The material of the study was the initiating and reacting remarks of both virtual interlocutors and real users of Russian and Chinese social networks (TenChat, Weibo). The methodology combines linguo-semiotic and discourse analysis with elements of content analysis to identify frequency patterns of interaction. As a result, three basic models of indirect communication "human - virtual interlocutor" are identified, their structural components and pragmatic functions are described. It has been established that the artificiative, imitating natural communication, uses the strategies of politeness and emotional involvement to form addiction and controlled behavior of the user. Thus, the artificiative becomes an instrument of indirect influence, which not only reproduces interpersonal communication, but also transforms its nature, blurring the boundaries between the natural and the artificial in communication.