The rapid advancement of artificial intelligence (AI) technology is fundamentally reshaping the production chain of the media industry. This study focuses on the impact of generative AI (e.g., ChatGPT, DeepSeek, Doubao) on content production, employing content analysis to reveal core differences between AI-generated and human-authored content. By comparative analysis, this paper discussed the issue across three dimensions: text structure, information density, and perceived credibility. Key findings include: Regarding textual features, AI content averaged 29% fewer words than human content (856 words vs. 1,203 words), exhibited more fragmented paragraph structures (average paragraph length 98 words vs. 152 words), and cited data sources only 32% as often as human content. In quality assessment, while AI content readability scores approached those of human content, its perceived information credibility was significantly lower. Readers with social science backgrounds exhibited particularly strong distrust towards AI content (average rating 2.1/5). High-frequency word analysis further indicated AI content's tendency to use vague expressions like "possibly" and "data suggests," whereas human content more frequently cited specific sources.
Chengkai Li (Wed,) studied this question.