Protecting Pandemic Conversations: Tracing Twitter’s Evolving Content Policies During COVID-19

IF 1.8 2区 文学 Q3 BUSINESS Journal of Business and Technical Communication Pub Date : 2021-01-01 DOI:10.1177/1050651920958393
Lacy Hope
{"title":"Protecting Pandemic Conversations: Tracing Twitter’s Evolving Content Policies During COVID-19","authors":"Lacy Hope","doi":"10.1177/1050651920958393","DOIUrl":null,"url":null,"abstract":"Throughout the COVID-19 pandemic, Twitter has served as a leading public platform for sharing, receiving, and engaging with virus-related content. To protect users from misinformation, Twitter has enforced stricter content-vetting policies. This article positions Twitter as a politically motivated entity and briefly traces Twitter’s use and applications of the term “harmful content.” The author investigates how the platform’s broadening of its definition of harmful content illustrates Twitter’s strategy for combating misinformation by acting on kairotic moments in a way that is shaped by the diverse authoritative voices already guiding larger public COVID-19 discussions. The article concludes by examining the roles these observations can play in technical and professional communication classrooms.","PeriodicalId":46414,"journal":{"name":"Journal of Business and Technical Communication","volume":"35 1","pages":"88 - 93"},"PeriodicalIF":1.8000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1050651920958393","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business and Technical Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/1050651920958393","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 5

Abstract

Throughout the COVID-19 pandemic, Twitter has served as a leading public platform for sharing, receiving, and engaging with virus-related content. To protect users from misinformation, Twitter has enforced stricter content-vetting policies. This article positions Twitter as a politically motivated entity and briefly traces Twitter’s use and applications of the term “harmful content.” The author investigates how the platform’s broadening of its definition of harmful content illustrates Twitter’s strategy for combating misinformation by acting on kairotic moments in a way that is shaped by the diverse authoritative voices already guiding larger public COVID-19 discussions. The article concludes by examining the roles these observations can play in technical and professional communication classrooms.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
保护大流行对话:追踪Twitter在COVID-19期间不断变化的内容政策
在2019冠状病毒病大流行期间,Twitter一直是分享、接收和参与与病毒相关内容的主要公共平台。为了保护用户免受虚假信息的侵害,Twitter实施了更严格的内容审查政策。本文将Twitter定位为一个具有政治动机的实体,并简要地追溯了Twitter对“有害内容”一词的使用和应用。作者调查了该平台如何扩大有害内容的定义,这说明了Twitter打击错误信息的策略,即通过在kairotic时刻采取行动,以一种由各种权威声音塑造的方式,这种声音已经引导了更大规模的公众COVID-19讨论。文章的最后考察了这些观察在技术和专业交流课堂中可以发挥的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.10
自引率
18.20%
发文量
16
期刊介绍: JBTC is a refereed journal that provides a forum for discussion of communication practices, problems, and trends in business, professional, scientific, and governmental fields. As such, JBTC offers opportunities for bridging dichotomies that have traditionally existed in professional communication journals between business and technical communication and between industrial and academic audiences. Because JBTC is designed to disseminate knowledge that can lead to improved communication practices in both academe and industry, the journal favors research that will inform professional communicators in both sectors. However, articles addressing one sector or the other will also be considered.
期刊最新文献
Automating Research in Business and Technical Communication: Large Language Models as Qualitative Coders Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes On the Current Moment in AI: Introduction to Special Issue on Effects of Artificial Intelligence Tools in Technical Communication Pedagogy, Practice, and Research, Part 1 Comparing Student and Writing Instructor Perceptions of Academic Dishonesty When Collaborators Are Artificial Intelligence or Human Preparing Future Technical Editors for an Artificial Intelligence-enabled Workplace
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1