政治和虚假信息:分析在巴西使用电报的信息混乱网络进行政治动员

Q2 Computer Science
Athus Cavalini, Fabio Malini, Fabio Gouveia, Giovanni V. Comarela
{"title":"政治和虚假信息:分析在巴西使用电报的信息混乱网络进行政治动员","authors":"Athus Cavalini, Fabio Malini, Fabio Gouveia, Giovanni V. Comarela","doi":"10.5210/fm.v28i5.12901","DOIUrl":null,"url":null,"abstract":"Over the past few years, with the increasing popularization of network communication in place of traditional mass communication, supported by social platforms and messengers, political campaigns have come to rely on new tools and methods, including the use of these structures to promote an environment of information disorder for the purpose of mobilization. This work followed the use of Telegram as a tool for political mobilization in Brazil, collecting data from a dense network of information disorder used to mobilize voters in support of then-president Jair Bolsonaro on 7 September 2021 and 2022, Independence Day in Brazil. The results showed that engagement was reduced, mainly due to the lack of support from certain groups such as anti-vaccination advocates and the truck drivers’ class. There was also a decrease in extremism on discussion themes and lower user activity levels.","PeriodicalId":38833,"journal":{"name":"First Monday","volume":"62 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Politics and disinformation: Analyzing the use of Telegram's information disorder network in Brazil for political mobilization\",\"authors\":\"Athus Cavalini, Fabio Malini, Fabio Gouveia, Giovanni V. Comarela\",\"doi\":\"10.5210/fm.v28i5.12901\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the past few years, with the increasing popularization of network communication in place of traditional mass communication, supported by social platforms and messengers, political campaigns have come to rely on new tools and methods, including the use of these structures to promote an environment of information disorder for the purpose of mobilization. This work followed the use of Telegram as a tool for political mobilization in Brazil, collecting data from a dense network of information disorder used to mobilize voters in support of then-president Jair Bolsonaro on 7 September 2021 and 2022, Independence Day in Brazil. The results showed that engagement was reduced, mainly due to the lack of support from certain groups such as anti-vaccination advocates and the truck drivers’ class. There was also a decrease in extremism on discussion themes and lower user activity levels.\",\"PeriodicalId\":38833,\"journal\":{\"name\":\"First Monday\",\"volume\":\"62 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First Monday\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5210/fm.v28i5.12901\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Monday","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5210/fm.v28i5.12901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1

摘要

过去几年,随着网络传播取代传统大众传播的日益普及,在社交平台和信使的支持下,政治运动开始依赖新的工具和方法,包括利用这些结构来促进信息混乱的环境,以达到动员的目的。这项工作是在使用Telegram作为巴西政治动员的工具之后进行的,该工具从密集的信息混乱网络中收集数据,用于动员选民在2021年9月7日和2022年巴西独立日期间支持当时的总统雅伊尔·博尔索纳罗。结果显示,参与度降低,主要是由于缺乏某些团体的支持,如反疫苗倡导者和卡车司机阶层。讨论主题的极端主义也有所减少,用户活动水平也有所降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Politics and disinformation: Analyzing the use of Telegram's information disorder network in Brazil for political mobilization
Over the past few years, with the increasing popularization of network communication in place of traditional mass communication, supported by social platforms and messengers, political campaigns have come to rely on new tools and methods, including the use of these structures to promote an environment of information disorder for the purpose of mobilization. This work followed the use of Telegram as a tool for political mobilization in Brazil, collecting data from a dense network of information disorder used to mobilize voters in support of then-president Jair Bolsonaro on 7 September 2021 and 2022, Independence Day in Brazil. The results showed that engagement was reduced, mainly due to the lack of support from certain groups such as anti-vaccination advocates and the truck drivers’ class. There was also a decrease in extremism on discussion themes and lower user activity levels.
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
First Monday
First Monday Computer Science-Computer Networks and Communications
CiteScore
2.20
自引率
0.00%
发文量
86
期刊介绍: First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet. Since its start in May 1996, First Monday has published 1,035 papers in 164 issues; these papers were written by 1,316 different authors. In addition, eight special issues have appeared. The most recent special issue was entitled A Web site with a view — The Third World on First Monday and it was edited by Eduardo Villanueva Mansilla. First Monday is indexed in Communication Abstracts, Computer & Communications Security Abstracts, DoIS, eGranary Digital Library, INSPEC, Information Science & Technology Abstracts, LISA, PAIS, and other services.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信