Misinformation and professional news on largely unmoderated platforms: the case of telegram

IF 2.6 2区 社会学 Q1 COMMUNICATION Journal of Information Technology & Politics Pub Date : 2022-05-25 DOI:10.1080/19331681.2022.2076272
A. Herasimenka, Jonathan Bright, Aleksi Knuutila, P. Howard
{"title":"Misinformation and professional news on largely unmoderated platforms: the case of telegram","authors":"A. Herasimenka, Jonathan Bright, Aleksi Knuutila, P. Howard","doi":"10.1080/19331681.2022.2076272","DOIUrl":null,"url":null,"abstract":"ABSTRACT To date, there is little research to measure the scale of misinformation and understand how it spreads on largely unmoderated platforms. Our analysis of 200,000 Telegram posts demonstrates that links to known sources of misleading information are shared more often than links to professional news content, but the former stays confined to relatively few channels. We conclude that, contrary to popular received wisdom, the audience for misinformation is not a general one, but a small and active community of users. Our study strengthens an empirical consensus regarding the spread of misinformation and expands it for the case of Telegram.","PeriodicalId":47047,"journal":{"name":"Journal of Information Technology & Politics","volume":"20 1","pages":"198 - 212"},"PeriodicalIF":2.6000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Technology & Politics","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/19331681.2022.2076272","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 7

Abstract

ABSTRACT To date, there is little research to measure the scale of misinformation and understand how it spreads on largely unmoderated platforms. Our analysis of 200,000 Telegram posts demonstrates that links to known sources of misleading information are shared more often than links to professional news content, but the former stays confined to relatively few channels. We conclude that, contrary to popular received wisdom, the audience for misinformation is not a general one, but a small and active community of users. Our study strengthens an empirical consensus regarding the spread of misinformation and expands it for the case of Telegram.
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
基本上不受干扰的平台上的虚假信息和专业新闻:电报的案例
摘要到目前为止,很少有研究来衡量错误信息的规模,并了解它是如何在基本上没有降级的平台上传播的。我们对20万条Telegram帖子的分析表明,与专业新闻内容的链接相比,已知误导性信息来源的链接被分享的频率更高,但前者仅限于相对较少的渠道。我们得出的结论是,与普遍接受的观点相反,错误信息的受众不是一个普通的受众,而是一个小而活跃的用户群体。我们的研究加强了关于错误信息传播的经验共识,并将其扩展到Telegram的案例中。
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
6.60
自引率
7.70%
发文量
31
期刊最新文献
Partisan news recommendations. Studying the effect of politicians’ online news sharing on news credibility From tweets to tensions: exploring the roots of political polarization in Turkish constitutional referendum Self-interest and preferences for the regulation of artificial intelligence Critical social media and political engagement in authoritarian regimes: the role of state media fairness perceptions Social media and political contention - challenges and opportunities for comparative research
×
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