Медиатизация персональных воспоминаний с использованием генеративных фотореалистичных изображений

Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика. 2026. Т. 31. № 2. С. 485–497.

Milovidov S.

The article analyzes the mediatization of personal memories through generative artificial intelligence technologies. The study draws on a four-level analytical framework that integrates the concepts of deep mediatization (Hepp), hybrid agency, the media logics of practices, and the new memory ecology (Hoskins). Methodologically, it combines netnography and case-study research; the empirical corpus includes international projects (2022–2025) that use generative images to work with personal, family, and collective memory. The analysis identifies two core media logics: augmentation (creating visual representations of events that were not captured on film) and transformation (altering the modality of existing material). It is shown that generative technologies shift memory from a regime of reproduction to a regime of production, generating hybrid forms of memory that are simultaneously personal and collective. The findings also highlight the ambivalence of these technologies’ effects—from therapeutic applications and the decolonization of visual archives to the risks of commodifying emotions and producing false memories.

Keywords: Digital archives of personal memories, медиатизация памяти, media logics, медиалогика, генеративный искусственный интеллект, generative artificial intelligence, memory mediatization, visual archive, hybrid agency, персональные воспоминания, визуальный архив, гибридная агентность