Comparative Study on the Credibility of AI-Generated News Content and Traditional News Content
Year: 2025
Type: article
Abstract: Currently, the credibility of AI-generated news content is one of the greatest problems in the development of AIGC technology in journalism. To explore this problem, this article compares the credibility of AI-generated news content and traditional news content in three main aspects: the amount and quality of used data, the personal bias of journalists, and the information transparency of the news content. Through case analysis, data citation, and critical thinking, this study reveals that AI-generated news benefits from vast training data and objective algorithms, reducing personal bias and enabling broad coverage. However, its credibility is undermined by the potential inclusion of inaccurate or biased data and a lack of transparency regarding algorithms and data sources. By examining both the advantages and disadvantages of AI-generated and traditional news content, this study provides ideas and thoughts for the future development of AIGC technology in journalism.
DOI: 10.70267/vs7xzc44
Author: Aiyun Hua
Institution: Nanjing Normal University
Language: English
Topic: Journalism and Media Studies
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409141994