Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure

Wenfang Hu

doi:10.47297/wsprolaadWSP2634-786520.20260702

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Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure

7卷第2期

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Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure
Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure
International College of Hebei University, Baoding, Hebei, 071000, China
2026年7卷第2期页码：90-94
纸质出版：2026-04-30
DOI：10.47297/wsprolaadWSP2634-786520.20260702
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Wenfang Hu. (2026). Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure. 文艺发展研究（英文版）, 7(2), 90-94.

Hu Wenfang.Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure[J].Research on Literary and Art Development,2026,07(02):90-94.
Wenfang Hu. (2026). Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure. 文艺发展研究（英文版）, 7(2), 90-94. DOI： 10.47297/wsprolaadWSP2634-786520.20260702.

Hu Wenfang.Research on Language Features of AI-generated News Texts: A Contrastive Analysis Based on Discourse Style and Syntactic Structure[J].Research on Literary and Art Development,2026,07(02):90-94. DOI： 10.47297/wsprolaadWSP2634-786520.20260702.

摘要

Abstract

Against the backdrop of generative AIs deep integration into news production

the linguistic characteristics of AI-generated news texts have become a key research focus. This study employs parallel corpora to conduct comparative analysis between AI-generated news and professional journalism from mainstream media outlets

utilizing corpus comparison

quantitative statistics

and discourse analysis methods to examine stylistic features and syntactic structures. Findings reveal that AI-generated news exhibits strong linguistic standardization but demonstrates stylistic homogeneity

weakened emotional expression

and pronounced lexical generalization tendencies at the stylistic level. At the syntactic level

it shows monotonous sentence patterns

uniform sentence length distribution

reliance on explicit conjunctions for logical coherence

and relatively low syntactic complexity. These characteristics reflect practical limitations in AI-generated news regarding information hierarchy construction

discursive expressiveness

and communication adaptability. The research contributes to deeper understanding of AI news language mechanisms and provides empirical references for optimizing intelligent news generation systems.

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references

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