The future of internet and television journalism in the age of artificial intelligence: A perspective through “Robo Tv Media”

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Authors: Deniz Yüceer Berker, Ekrem Çelikiz
Cited by: 0
References: 10

Abstract

In the 21st century, often characterized as the digital age, innovations in internet technologies and artificial intelligence (AI) are transforming internet and television journalism through the automated preparation of news (automation), the delivery of tailored content to individuals (personalization), and the reduction of journalism costs (efficiency). This study focuses on how innovations in internet technologies—specifically AI—affect journalistic activities and how a balance can be established between AI systems and human journalists. In this research, the presentation styles of Robo TV Media, which utilizes AI for news delivery, and traditional television news are compared to discuss how AI technologies transform traditional news presentation, as well as to highlight the similarities and differences between them. The theoretical framework of the study is grounded in a perspective that evaluates new technology theories in media alongside the interaction between these technological developments and humans. A qualitative research method was adopted for this study, utilizing descriptive analysis techniques. Five news samples published by both Robo TV Media and traditional television channels were selected and evaluated comparatively. The comparison between Robo TV Media and TV news focused on elements such as the 5W1H (who, what, where, when, why, how) structure, news language, visual materials used in the broadcasts, and the use of body language during presentation. This study contributes to discussions regarding the future of journalism in light of AI innovations and opens a debate on the distinctions between traditional human news anchoring and AI-driven news anchoring.

Fields of Study & Subjects

Journalism and Media Studies Media Studies and Communication Technology's Impact on Media

Publication details

Journal / source
OPUS Toplum Araştırmaları Dergisi
Volume
23
Issue
2026
Pages
1–16
Publication date
30 January 2026