The Impact of Neural Networks on the Digital Transformation of Journalism

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

Digital media · Digital transformation · Function (biology) · Institutionalisation · Journalism · Perspective (graphical) · Process (computing) · Computational and Text Analysis Methods · Media Studies and Communication · Social Media and Politics