Politics, Power and a Pandemic: Searching for Information and Accountability During a Twitter Infodemic

IF 0.7 Q3 COMMUNICATION Electronic News Pub Date : 2021-11-22 DOI:10.1177/19312431211057488
Benjamin LaPoe, Candi S. Carter Olson, Victoria L. LaPoe, Parul Jain, Allyson Woellert, Aaron Long
{"title":"Politics, Power and a Pandemic: Searching for Information and Accountability During a Twitter Infodemic","authors":"Benjamin LaPoe, Candi S. Carter Olson, Victoria L. LaPoe, Parul Jain, Allyson Woellert, Aaron Long","doi":"10.1177/19312431211057488","DOIUrl":null,"url":null,"abstract":"During the early weeks of the U.S. COVID-19 pandemic, society was battling an infodemic–defined as a “tsunami” of online misinformation. Through the lens of mediatization theory, this article examines 800,000 tweets to understand social media information and misinformation related to the COVID-19. Through multi-layered analysis, this article details prominent key words discussed on Twitter connected to pandemic trending hashtags in early-to-mid March 2020: #Covid19 and #Coronavirus. The most prominent word themes included: novelty of this virus and associated uncertainty and the spread of misinformation; severity and widespread reach of the virus; call for collective action; and expectations relative to government action. The article explains these findings through mediatization theory, applying how technology influences social media discussions.","PeriodicalId":29929,"journal":{"name":"Electronic News","volume":"16 1","pages":"30 - 53"},"PeriodicalIF":0.7000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/19312431211057488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 5

Abstract

During the early weeks of the U.S. COVID-19 pandemic, society was battling an infodemic–defined as a “tsunami” of online misinformation. Through the lens of mediatization theory, this article examines 800,000 tweets to understand social media information and misinformation related to the COVID-19. Through multi-layered analysis, this article details prominent key words discussed on Twitter connected to pandemic trending hashtags in early-to-mid March 2020: #Covid19 and #Coronavirus. The most prominent word themes included: novelty of this virus and associated uncertainty and the spread of misinformation; severity and widespread reach of the virus; call for collective action; and expectations relative to government action. The article explains these findings through mediatization theory, applying how technology influences social media discussions.
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
政治、权力和大流行病:在推特信息时代寻找信息和责任
在美国新冠肺炎大流行的最初几周,社会正在与信息危机作斗争——信息危机被定义为网络错误信息的“海啸”。通过媒介化理论的视角,本文研究了80万条推文,以了解与新冠肺炎相关的社交媒体信息和错误信息。通过多层分析,本文详细介绍了2020年3月初至中旬在推特上讨论的与大流行趋势标签相关的突出关键词:#Covid19和#Coronavirus。最突出的单词主题包括:这种病毒的新颖性以及相关的不确定性和错误信息的传播;病毒的严重性和广泛传播;呼吁采取集体行动;以及对政府行动的期望。本文通过媒介化理论,应用技术如何影响社交媒体讨论来解释这些发现。
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
Electronic News
Electronic News COMMUNICATION-
CiteScore
1.60
自引率
20.00%
发文量
16
期刊最新文献
Does Tribe Trump Facts? Novel Measures of Hostile Media The Social Media Comment Section as an Unruly Public Arena: How Comment Reading Erodes Trust in News Media Innovation and Determination: How Local American TV Journalists Told the COVID-19 “Story of a Lifetime” “Standard” Appearance and “Accentless” Speech: How Performance Neutrality Limits Diversity in Broadcast News Attitudes of U.S. Public Broadcasters: A Liberal Helping of Interpretive Journalism
×
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