利用机器的修辞能量:COVID-19,错误信息和有说服力的劳动

Q1 Social Sciences
Miles C. Coleman
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引用次数: 2

摘要

COVID-19大流行期间猖獗的错误信息表明,显然需要说服。本文利用数字修辞学和科学、技术和医学修辞学领域来探索机器传播者对公共卫生构成的有说服力的威胁和机会。作为一个具体案例,Alexa和机器的表现与德尔福甲骨文的相似之处,以及基于语音的助手与专家系统话语的进一步共鸣,都被跟踪,以发展机器修辞能量的账户。从这里开始,机器传播者被讨论为预防错误信息的最佳传播者,因为它们的表演伴随着修辞能量,可以激活反对错误信息的说服力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging the Rhetorical Energies of Machines: COVID-19, Misinformation, and Persuasive Labor
The rampant misinformation amid the COVID-19 pandemic demonstrates an obvious need for persuasion. This article draws on the fields of digital rhetoric and rhetoric of science, technology, and medicine to explore the persuasive threats and opportunities machine communicators pose to public health. As a specific case, Alexa and the machine’s performative similarities to the Oracle at Delphi are tracked alongside the voice-based assistant’s further resonances with the discourses of expert systems to develop an account of the machine’s rhetorical energies. From here, machine communicators are discussed as optimal deliverers of inoculations against misinformation in light of the fact that their performances are attended by rhetorical energies that can enliven persuasions against misinformation.
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来源期刊
CiteScore
10.00
自引率
0.00%
发文量
10
审稿时长
8 weeks
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