在人工智能荒野中 "寻路":绘制 X(原 Twitter)上 ChatGPT 提示语的写作修辞,促进批判性人工智能素养的提高

Q1 Arts and Humanities
Anuj Gupta, Ann Shivers-McNair
{"title":"在人工智能荒野中 \"寻路\":绘制 X(原 Twitter)上 ChatGPT 提示语的写作修辞,促进批判性人工智能素养的提高","authors":"Anuj Gupta,&nbsp;Ann Shivers-McNair","doi":"10.1016/j.compcom.2024.102882","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we demonstrate how studying the rhetorics of ChatGPT prompt writing on social media can promote critical AI literacies. Prompt writing is the process of writing instructions for generative AI tools like ChatGPT to elicit desired outputs and there has been an upsurge of conversations about it on social media. To study this rhetorical activity, we build on four overlapping traditions of digital writing research in computers and composition that inform how we frame literacies, how we study social media rhetorics, how we engage iteratively and reflexively with methodologies and technologies, and how we blend computational methods with qualitative methods. Drawing on these four traditions, our paper shows our iterative research process through which we gathered and analyzed a dataset of 32,000 posts (formerly known as tweets) from X (formerly Twitter) about prompt writing posted between November 2022 to May 2023. We present five themes about these emerging AI literacy practices: (1) areas of communication impacted by prompt writing, (2) micro-literacy resources shared for prompt writing, (3) market rhetoric shaping prompt writing, (4) rhetorical characteristics of prompts, and (5) definitions of prompt writing. In discussing these themes and our methodologies, we highlight takeaways for digital writing teachers and researchers who are teaching and analyzing critical AI literacies.</div></div>","PeriodicalId":35773,"journal":{"name":"Computers and Composition","volume":"74 ","pages":"Article 102882"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"“Wayfinding” through the AI wilderness: Mapping rhetorics of ChatGPT prompt writing on X (formerly Twitter) to promote critical AI literacies\",\"authors\":\"Anuj Gupta,&nbsp;Ann Shivers-McNair\",\"doi\":\"10.1016/j.compcom.2024.102882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we demonstrate how studying the rhetorics of ChatGPT prompt writing on social media can promote critical AI literacies. Prompt writing is the process of writing instructions for generative AI tools like ChatGPT to elicit desired outputs and there has been an upsurge of conversations about it on social media. To study this rhetorical activity, we build on four overlapping traditions of digital writing research in computers and composition that inform how we frame literacies, how we study social media rhetorics, how we engage iteratively and reflexively with methodologies and technologies, and how we blend computational methods with qualitative methods. Drawing on these four traditions, our paper shows our iterative research process through which we gathered and analyzed a dataset of 32,000 posts (formerly known as tweets) from X (formerly Twitter) about prompt writing posted between November 2022 to May 2023. We present five themes about these emerging AI literacy practices: (1) areas of communication impacted by prompt writing, (2) micro-literacy resources shared for prompt writing, (3) market rhetoric shaping prompt writing, (4) rhetorical characteristics of prompts, and (5) definitions of prompt writing. In discussing these themes and our methodologies, we highlight takeaways for digital writing teachers and researchers who are teaching and analyzing critical AI literacies.</div></div>\",\"PeriodicalId\":35773,\"journal\":{\"name\":\"Computers and Composition\",\"volume\":\"74 \",\"pages\":\"Article 102882\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Composition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S8755461524000586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Composition","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S8755461524000586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们将展示研究社交媒体上 ChatGPT 提示语写作的修辞学如何促进批判性人工智能素养。提示语写作是为生成式人工智能工具(如 ChatGPT)编写指令以获得预期输出的过程,在社交媒体上有关这一过程的对话激增。为了研究这种修辞活动,我们建立在计算机和写作领域数字写作研究的四个重叠传统之上,这四个传统为我们提供了信息:我们如何构建文学、我们如何研究社交媒体修辞、我们如何以迭代和反思的方式参与方法论和技术,以及我们如何将计算方法与定性方法相结合。借鉴这四种传统,我们的论文展示了我们的迭代研究过程,通过这一过程,我们收集并分析了 X(推特前身)在 2022 年 11 月至 2023 年 5 月间发布的 32,000 条有关提示性写作的帖子(以前称为推文)数据集。我们就这些新兴的人工智能扫盲实践提出了五个主题:(1)受提示语写作影响的交流领域,(2)提示语写作的微扫盲资源共享,(3)影响提示语写作的市场修辞,(4)提示语的修辞特点,以及(5)提示语写作的定义。在讨论这些主题和我们的研究方法时,我们强调了数字写作教师和研究人员在教学和分析关键人工智能素养方面的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Wayfinding” through the AI wilderness: Mapping rhetorics of ChatGPT prompt writing on X (formerly Twitter) to promote critical AI literacies
In this paper, we demonstrate how studying the rhetorics of ChatGPT prompt writing on social media can promote critical AI literacies. Prompt writing is the process of writing instructions for generative AI tools like ChatGPT to elicit desired outputs and there has been an upsurge of conversations about it on social media. To study this rhetorical activity, we build on four overlapping traditions of digital writing research in computers and composition that inform how we frame literacies, how we study social media rhetorics, how we engage iteratively and reflexively with methodologies and technologies, and how we blend computational methods with qualitative methods. Drawing on these four traditions, our paper shows our iterative research process through which we gathered and analyzed a dataset of 32,000 posts (formerly known as tweets) from X (formerly Twitter) about prompt writing posted between November 2022 to May 2023. We present five themes about these emerging AI literacy practices: (1) areas of communication impacted by prompt writing, (2) micro-literacy resources shared for prompt writing, (3) market rhetoric shaping prompt writing, (4) rhetorical characteristics of prompts, and (5) definitions of prompt writing. In discussing these themes and our methodologies, we highlight takeaways for digital writing teachers and researchers who are teaching and analyzing critical AI literacies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Computers and Composition
Computers and Composition Arts and Humanities-Language and Linguistics
CiteScore
4.30
自引率
0.00%
发文量
34
审稿时长
25 days
期刊介绍: Computers and Composition: An International Journal is devoted to exploring the use of computers in writing classes, writing programs, and writing research. It provides a forum for discussing issues connected with writing and computer use. It also offers information about integrating computers into writing programs on the basis of sound theoretical and pedagogical decisions, and empirical evidence. It welcomes articles, reviews, and letters to the Editors that may be of interest to readers, including descriptions of computer-aided writing and/or reading instruction, discussions of topics related to computer use of software development; explorations of controversial ethical, legal, or social issues related to the use of computers in writing programs.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信