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当前位置：中外文艺研究 > 2025年 2卷 (1)期

Open Access Article

Journal of Chinese and Foreign Languages, Literature and Art Research. 2025; 2: (1) ; 29-36 ; DOI: 10.12208/j.jlar.20250005.

Research on literary creation and dissemination in the context of artificial intelligence
人工智能背景下文学创作与传播研究

作者： 罗娜 *

广西大学广西南宁

*通讯作者：罗娜,单位：广西大学广西南宁；

发布时间: 2025-08-21 总浏览量: 238 下载量: 加载中...

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摘要

人工智能技术的快速发展正在深刻重塑文学创作的生产方式与传播机制，这一变革引发了文学研究领域亟待回应的理论问题。本文系统梳理了2018年以来国际学界关于人工智能与文学创作及传播的研究成果，沿着“理论根基—创作机制—人机协作—作者身份—传播生态—教育应用”的逻辑脉络展开论述。在理论根基层面，计算创造学的理论框架为理解AI的创造性提供了概念工具；在创作机制层面，自动故事生成的技术路径从模板驱动演进到大语言模型驱动，生成能力显著提升；在人机协作层面，AI的角色正在从“工具”向“同伴”转变，人机共创成为创意写作的新范式；在作者身份层面，AI写作对传统的作者概念、作品原创性和版权制度提出了根本性挑战；在传播生态层面，数字人文方法为文学传播的量化分析提供了新路径；在教育应用层面，AI写作工具正在重构文学教育和创意写作的教学模式。研究发现，人工智能背景下的文学研究正经历着从“人类中心主义”向“人机共生”的认识论转换，这一转换既带来了深刻的学科危机，也催生了理论重构的历史机遇。

关键词： 人工智能；文学创作；自动故事生成；人机协作；作者身份；数字人文

Abstract

The rapid development of artificial intelligence (AI) technology is profoundly reshaping the production methods and dissemination mechanisms of literary creation. This transformation has raised theoretical questions that urgently need to be addressed in the field of literary studies. This paper systematically reviews the research findings of the international academic community on AI and literary creation and dissemination since 2018, and discusses them along the logical path of “theoretical foundation—creative mechanism—human-machine collaboration—author identity—dissemination ecology—educational application.” At the theoretical foundation level, the theoretical framework of computational creativity provides conceptual tools for understanding the creativity of AI; at the creative mechanism level, the technical path of automatic story generation has evolved from template-driven to large language model-driven, significantly improving generation capabilities; at the human-machine collaboration level, the role of AI is shifting from “tool” to “partner,” and human-machine co-creation is becoming a new paradigm for creative writing; at the author identity level, AI writing poses fundamental challenges to the traditional concept of author, originality of works, and copyright system; at the dissemination ecology level, digital humanities methods provide a new path for the quantitative analysis of literary dissemination; at the educational application level, AI writing tools are reconstructing the teaching models of literary education and creative writing. Research has found that literary studies in the context of artificial intelligence are undergoing an epistemological shift from “anthropocentrism” to “human-machine symbiosis.” This shift has brought about both a profound disciplinary crisis and a historical opportunity for theoretical reconstruction.

Key words： Artificial intelligence; Literary creation; Automatic story generation; Human-machine collabora-tion; Author identity; Digital humanities

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引用本文

罗娜, 人工智能背景下文学创作与传播研究[J]. 中外文艺研究, 2025; 2: (1) : 29-36.

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