Linguistic and Rhetorical Features of Dialogue on Rhetorical Topics between a Human and Chatbot GPT

Rhetoric and Communications Pub Date : 2023-07-30 DOI:10.55206/cikp7841

I. Mavrodieva

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Abstract

Abstract: This paper presents the results of an analysis of a dialogue between a human and a chatbot on rhetorical topics. The problematic has a topicality that is new in the study of an understudied field, namely the communication in a mini-virtual community between a human and GhatGTP. The first focus is on analyzing linguistic and rhetorical features of answering questions posed by the researcher, who is also a participant in the dialogue. The second focus is on the ways in which the results of the search for rhetoric-related information are presented and structured by the chatbot. The third focus is on the ways in which the chatbot identifies itself using algorithms and pre-prepared information by experts from different fields and how it verbalizes and self-assesses it. The first hypothesis is that from a linguistic point of view the chatbot uses terms; does not allow figurative language, realizes an informative function; structures short texts of good logical consistency, which are dominated by the statement of previously presented information. The second hypothesis is related to rhetorical themes and canons and it is that the chatbot successfully realizes two rhetorical canons (invention and composition) searching for information from accessible online sources, selects and structures facts into popular level. The paper tests a research approach, conventionally called auto-cyberethnographic monitoring, which combines the cyberethnographic method with autoethnography. The text does not aim at providing exhaustive information, it is oriented towards establishing the possibilities of delineating a new scientific field of research that presupposes an interdisciplinary approach and modern research methods. Keywords: rhetoric, rhetorical canons, language, dialogue, Chatbot GPT, cyberethnographic method, autoethnography, auto-cyberethnographic monitoring. Rhetoric and Communications Journal, issue 56, July 2023

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GPT人机对话修辞话题的语言修辞特征

摘要:本文分析了人类与聊天机器人之间关于修辞话题的对话结果。这个问题在一个尚未充分研究的领域的研究中具有新的话题性，即人类与GhatGTP之间的迷你虚拟社区中的通信。第一个重点是分析回答研究者提出的问题的语言和修辞特征，研究者也是对话的参与者。第二个重点是聊天机器人如何呈现和组织与修辞学相关的信息的搜索结果。第三个重点是聊天机器人使用算法和来自不同领域的专家预先准备的信息来识别自己的方式，以及它如何用语言表达和自我评估。第一个假设是从语言学的角度来看，聊天机器人使用术语;不允许比喻语言，实现信息功能;构建具有良好逻辑一致性的短文本，这些短文本主要由先前呈现的信息的陈述组成。第二个假设与修辞主题和修辞规范有关，即聊天机器人成功地实现了两种修辞规范(发明和构成)，从可访问的在线资源中搜索信息，选择事实并将其结构为流行水平。本文测试了一种研究方法，通常称为自动网络民族志监测，它将网络民族志方法与自动民族志相结合。本文的目的不在于提供详尽的资料，而是着眼于建立描绘一个新的科学研究领域的可能性，这种研究领域以跨学科的方法和现代研究方法为前提。关键词:修辞学，修辞规范，语言，对话，聊天机器人GPT，网络民族志方法，自动民族志，自动民族志监测。《修辞与传播学》，第56期，2023年7月

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Rhetoric and Communications

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