English Poetry Generated by Artificial Intelligence: A Stylistic Analysis and Exploration of Literary Value
Year: 2024
Type: article
Abstract: With the rapid development of artificial intelligence technology, algorithm-driven text generation tools have been widely applied in the fields of art and literature, making AI-generated English poetry an emerging topic in literary studies. This paper aims to analyze the textual features of AI-generated English poetry from a stylistic perspective and explore its literary value and limitations. By selecting multiple AI-generated poems, the study employs linguistic and stylistic frameworks, including keyword extraction, syntactic analysis, and prosodic pattern analysis, to investigate the grammatical structures, rhythmic patterns, and rhetorical characteristics of these texts. Through comparative analysis with human-authored poetry, the research examines AI-generated works in terms of thematic presentation, artistic expression, and emotional conveyance. Results indicate that while AI is capable of producing syntactically coherent and rhythmically appealing poems, significant gaps remain in terms of thematic depth, emotional authenticity, and rhetorical complexity compared to human poetry. Furthermore, the paper discusses the potential and challenges of AI-assisted creativity from the perspective of human-machine collaboration, highlighting its role in inspiring literary innovation and redefining the boundaries of poetry. Findings offer theoretical insights into the broader exploration of AI's application in literature and open new avenues for interdisciplinary research between literature and technology.
Source: Philosophy and social science.
DOI: 10.62381/p243a08
Author: Deng Xin
Institution: Jilin University of Finance and Economics
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409452797