Synthetic Genres: Expert Genres, Non-Specialist Audiences, and Misinformation in the Artificial Intelligence Age

Brad Mehlenbacher, Ana Patricia Balbon, A. Mehlenbacher
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引用次数: 0

Abstract

Drawing on rhetorical genre studies, we explore research article abstracts created by generative artificial intelligence (AI). These synthetic genres—genre-ing activities shaped by the recursive nature of language learning models in AI-driven text generation—are of interest as they could influence informational quality, leading to various forms of disordered information such as misinformation. We conduct a two-part study generating abstracts about (a) genre scholarship and (b) polarized topics subject to misinformation. We conclude with considerations about this speculative domain of AI text generation and dis/misinformation spread and how genre approaches may be instructive in its identification.
合成流派:人工智能时代的专家流派、非专家受众和错误信息
借鉴修辞体裁研究,我们探讨了由人工智能(AI)生成的研究文章摘要。这些合成体裁--由人工智能驱动的文本生成中语言学习模型的递归性质所形成的体裁活动--可能会影响信息质量,导致各种形式的无序信息(如错误信息),因此备受关注。我们进行了一项由两部分组成的研究,分别生成有关 (a) 体裁学术和 (b) 受误导信息影响的两极化话题的摘要。最后,我们对人工智能文本生成和失序/误导信息传播的这一推测领域进行了思考,并探讨了体裁方法如何对其识别具有指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.90
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