The article advocates an institutional framework for comprehending the function of neural networks in the digital evolution of journalism. Conceptually, five categories of roles are delineated, which may emerge at the present phase of integrating artificial intelligence into media practices. Based on interviews conducted with media executives, journalists, and independent media specialists from regional editorial offices, four institutional stances have been articulated, characterizing the ongoing technological adoption in journalism. The research indicates that a pragmatic and instrumental perspective regarding the function of artificial intelligence in the digital transformation of journalism prevails. Concurrently, it reveals a trajectory from the instrumental application of AI towards a regulated, institutionalized paradigm. This suggests not resistance to technological advancements, but rather a process of their gradual institutionalization within the professional domain of journalism.
Translated title of the contributionThe Impact of Neural Networks on the Digital Transformation of Journalism
Original languageRussian
Pages (from-to)34-46
Number of pages13
JournalВЕСТНИК НОВОСИБИРСКОГО ГОСУДАРСТВЕННОГО УНИВЕРСИТЕТА. СЕРИЯ: ИСТОРИЯ, ФИЛОЛОГИЯ
Volume25
Issue number6
DOIs
StatePublished - 24 Jun 2026

ID: 156299120