大流行期间重视专业知识

IF 1.8 2区 文学 Q3 BUSINESS Journal of Business and Technical Communication Pub Date : 2021-01-01 DOI:10.1177/1050651920958503
Sweta Baniya, L. Potts
{"title":"大流行期间重视专业知识","authors":"Sweta Baniya, L. Potts","doi":"10.1177/1050651920958503","DOIUrl":null,"url":null,"abstract":"This article addresses how social media platforms can better highlight expert voices through design choices. Misinformation, after all, has exploded during the Covid-19 pandemic, and platforms have struggled to address the issue. The authors examine this critical gap in validation mechanisms in the current social media platforms and suggest possible solutions for this urgent problem with third-party partnerships.","PeriodicalId":46414,"journal":{"name":"Journal of Business and Technical Communication","volume":"35 1","pages":"28 - 34"},"PeriodicalIF":1.8000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1050651920958503","citationCount":"9","resultStr":"{\"title\":\"Valuing Expertise During the Pandemic\",\"authors\":\"Sweta Baniya, L. Potts\",\"doi\":\"10.1177/1050651920958503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article addresses how social media platforms can better highlight expert voices through design choices. Misinformation, after all, has exploded during the Covid-19 pandemic, and platforms have struggled to address the issue. The authors examine this critical gap in validation mechanisms in the current social media platforms and suggest possible solutions for this urgent problem with third-party partnerships.\",\"PeriodicalId\":46414,\"journal\":{\"name\":\"Journal of Business and Technical Communication\",\"volume\":\"35 1\",\"pages\":\"28 - 34\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1050651920958503\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Business and Technical Communication\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1177/1050651920958503\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business and Technical Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/1050651920958503","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: 9

摘要

本文介绍了社交媒体平台如何通过设计选择更好地突出专家声音。毕竟,在新冠肺炎大流行期间,虚假信息激增,平台一直在努力解决这个问题。作者研究了当前社交媒体平台中验证机制的这一关键差距,并提出了与第三方合作解决这一紧迫问题的可能方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Valuing Expertise During the Pandemic
This article addresses how social media platforms can better highlight expert voices through design choices. Misinformation, after all, has exploded during the Covid-19 pandemic, and platforms have struggled to address the issue. The authors examine this critical gap in validation mechanisms in the current social media platforms and suggest possible solutions for this urgent problem with third-party partnerships.
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
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