Empirical study reveals AI transforms journalism processes in Russian television, highlighting ethical challenges.
This empirical study examines the implementation of artificial intelligence (AI) technologies in Russian television newsrooms, addressing both the evolvement of television journalism (and, more broadly, journalism in general) and its transformation amid technological advancements. Based on 18 interviews with professionals from the first and second digital multiplexes (that is, “must-carry” public channels), the research reveals that TV journalists primarily employ AI for routine tasks, streamlining workflows and accelerating editorial processes. One central challenge highlighted is ethical and copyright concerns, with solutions varying across newsrooms. Most respondents advocated for developing standardized editorial guidelines for AI use and establishing legislative frameworks. As for the prospects, participants anticipated that AI would optimize mechanical processes, allowing journalists to focus on higher quality, exclusive content. At the same time, they also expressed concerns about potential negative impacts: increased workflow speeds, which could potentially elevate stress levels; proliferation of AI-generated fakes and misinformation; and diminishing creative aspects of journalism.
No takes yet. Share an insight, caveat, or question.
Zuykina et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: