The Changing Concept of News Credibility in the Era of AI-Based News: A Study in the Context of Television and Digital News

Abstract

The rapid advancement of Artificial Intelligence (AI) and digital media technologies has significantly transformed the contemporary news ecosystem. Traditional processes of news production, editing, broadcasting, distribution, and consumption are undergoing substantial technological changes. In particular, the growing use of AI-generated news content, automated news writing, algorithm-driven news selection, and personalized news delivery has created both new opportunities and challenges for conventional news media such as television. Alongside these transformations, concerns regarding news credibility, authenticity, accuracy, fairness, transparency, and audience trust have gained increasing significance.

The present study aims to examine the changing concept of news credibility in the emerging era of AI-based news. It comparatively explores how audiences evaluate the credibility of news presented through television and digital news platforms. The study focuses on key dimensions of news credibility, including accuracy, source credibility, fairness, transparency, authenticity, timeliness, and the processes involved in news production. It further seeks to understand how AI-based news content influences audience trust, perception, and acceptance of news.

The study proposes a quantitative research approach, using a structured questionnaire to collect primary data from news consumers. It examines patterns of television and digital news consumption, audience preferences, perceptions of news credibility, and levels of trust in AI-based news content. The collected data will be analyzed to identify similarities and differences in perceptions of news credibility across traditional television and digital news environments, with particular attention to the growing role of AI in news production and distribution.

The study is expected to contribute to a deeper understanding of changing audience trust and the evolving concept of news credibility in the context of digital journalism and the expansion of AI-based news systems. Its findings may be useful for news organizations, journalists, media scholars, and policymakers in developing appropriate approaches to maintaining accuracy, transparency, accountability, and public trust in an increasingly AI-driven news environment. The study may also provide insights into how traditional television news and emerging digital news platforms can adapt their journalistic practices to sustain credibility and audience confidence amid rapid technological transformation.