Artificial journalism: the reverse of human-machine communication paradigm. Mapping the field of AI critical media studies
- Авторлар: Shilina M.G.1,2, Volkova I.I.3, Bombin A.Y.4, Smirnova A.A.4
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Мекемелер:
- Plekhanov Russian University of Economics
- Lomonosov Moscow State University
- RUDN University
- Saint Petersburg State University of Economics
- Шығарылым: Том 28, № 4 (2023): Media and Crisis – Reversible Paradigms
- Беттер: 757-768
- Бөлім: JOURNALISM
- URL: https://journal-vniispk.ru/2312-9220/article/view/319111
- DOI: https://doi.org/10.22363/2312-9220-2023-28-4-757-768
- EDN: https://elibrary.ru/IWYVNU
- ID: 319111
Дәйексөз келтіру
Толық мәтін
Аннотация
The study for the first time endeavours to elucidate the distinct conceptual nuances of AI-driven journalism, exploring how it reshapes the core technological and communicative attributes of the field while influencing societal dynamics. The crisis within AI-driven human-machine interaction in journalism rooted in the essence and processing of information is defined. Despite the paradigm of journalism is rooted in a human-centered approach, its AI-driven paradigm is the same - but in a reversible mode. Journalism involves the translation of personal perspectives and experiences through the filter of memory. Algorithms function without the nuances of personal and social memory, thereby undermining the core principles of the journalistic profession. The loss of genuine, “analog” memory among journalists and their audiences, alongside the digital “memory” of algorithms, jeopardizes the fundamental societal role of journalism-upholding social order. Re-thinking the AI phenomenon as artificial communication, the authors propose the term “artificial journalism”. At the basic technological level it is based on various forms of automation and embedded within digital infrastructures; at the societal level it is designed for the central purpose of journalism and entangled with human practices. Both the levels are reversible. The term could serve as an umbrella term for all the AI-driven journalism activities. Also it removes contradictions not only in human-machine communication but clarify the essence of AI performance in journalism and media studies, and for the users. The emergence of AI-driven media practices opens the basic crisis conceptual contradictions which provokes new realms of research and necessitates the establishment of critical AI media studies.
Авторлар туралы
Marina Shilina
Plekhanov Russian University of Economics; Lomonosov Moscow State University
Хат алмасуға жауапты Автор.
Email: marina.shilina@gmail.com
ORCID iD: 0000-0002-9608-352X
Dr. Sc., Professor, Professor of the Department of Advertising, Public Relations and Design, Plekhsnov Russian University of Economics; Professor of the Department of Advertising and Public Relations, Faculty of Journalism, Lomonosov Moscow State University
36 Stremyannyi Pereulok, Moscow, 115054, Russian Federation; 9 Mokhovaya St, bldg 1, Moscow, 125009, Russian FederationIrina Volkova
RUDN University
Email: volkova-ii@rudn.ru
ORCID iD: 0000-0002-2693-1204
Dr. Sc. in Philology, Professor, Professor of the Department of Mass Communication, Faculty of Philology
6 Miklukho-Maklaya St, Moscow, 117198, Russian FederationAndrey Bombin
Saint Petersburg State University of Economics
Email: bombin.a@unecon.ru
ORCID iD: 0000-0002-1151-7721
senior lecturer, Department of Communication Technologies and Public Relations
30-32 Naberezhnaya Kanala Griboedova, St. Petersburg, 191023, Russian FederationAnna Smirnova
Saint Petersburg State University of Economics
Email: smirnova.aa@unecon.ru
ORCID iD: 0000-0003-1392-2832
senior lecturer, Department of Communication Technologies and Public Relations, Deputy Dean of the Faculty of Humanities
30-32 Naberezhnaya Kanala Griboedova, St. Petersburg, 191023, Russian FederationӘдебиет тізімі
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