The Credibility of News Content Generated by DeepSeek: Analysis of Comparative Experiments Under Different Genres

Main Article Content

Shuyi Lin

Keywords

news content generated by AIGC, traditional news content, credibility influencing factors, DeepSeek, comparative study

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.

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