The Credibility of News Content Generated by DeepSeek: Analysis of Comparative Experiments Under Different Genres
Year: 2025
Type: article
Abstract: Credibility is an important factor affecting news function. As AI technology has gradually penetrated the news field, understanding the credibility of the news content generated by AIGC has become important. As a recently popular AIGC tool, the credibility of the news generated by DeepSeek is worth exploring. This paper analyzes and compares the factors influencing the credibility of news content generated by AIGC and traditional news content and conducts a comparative experiment: the news genre is set as a variable, the traditional news of different genres is selected, and keywords are extracted as instructions for DeepSeek to generate news content to compare the two news articles. The experimental results show that, as a cutting-edge AI in China, DeepSeek outperforms news and comments in two genres, but on the whole, the credibility of the news content generated by DeepSeek is lower than that of traditional news content and is most affected by the clarity of information. When the information is clear, its credibility can be comparable to that of traditional news.
Author: Shuyi Lin
Institution: Yunnan University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409965216
