在COVID-19信息大流行期间,Twitter上机器人的角色特征

IF 2 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Journal of Computational Social Science Pub Date : 2022-01-01 Epub Date: 2021-08-30 DOI:10.1007/s42001-021-00139-3
Wentao Xu, Kazutoshi Sasahara
{"title":"在COVID-19信息大流行期间,Twitter上机器人的角色特征","authors":"Wentao Xu,&nbsp;Kazutoshi Sasahara","doi":"10.1007/s42001-021-00139-3","DOIUrl":null,"url":null,"abstract":"<p><p>An infodemic is an emerging phenomenon caused by an overabundance of information online. This proliferation of information makes it difficult for the public to distinguish trustworthy news and credible information from untrustworthy sites and non-credible sources. The perils of an infodemic debuted with the outbreak of the COVID-19 pandemic and bots (i.e., automated accounts controlled by a set of algorithms) that are suspected of spreading the infodemic. Although previous research has revealed that bots played a central role in spreading misinformation during major political events, how bots behavior during the infodemic is unclear. In this paper, we examined the roles of bots in the case of the COVID-19 infodemic and the diffusion of non-credible information such as \"5G\" and \"Bill Gates\" conspiracy theories and content related to \"Trump\" and \"WHO\" by analyzing retweet networks and retweeted items. We show the segregated topology of their retweet networks, which indicates that right-wing self-media accounts and conspiracy theorists may lead to this opinion cleavage, while malicious bots might favor amplification of the diffusion of non-credible information. Although the basic influence of information diffusion could be larger in human users than bots, the effects of bots are non-negligible under an infodemic situation.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s42001-021-00139-3.</p>","PeriodicalId":29946,"journal":{"name":"Journal of Computational Social Science","volume":" ","pages":"591-609"},"PeriodicalIF":2.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8403696/pdf/","citationCount":"16","resultStr":"{\"title\":\"Characterizing the roles of bots on Twitter during the COVID-19 infodemic.\",\"authors\":\"Wentao Xu,&nbsp;Kazutoshi Sasahara\",\"doi\":\"10.1007/s42001-021-00139-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>An infodemic is an emerging phenomenon caused by an overabundance of information online. This proliferation of information makes it difficult for the public to distinguish trustworthy news and credible information from untrustworthy sites and non-credible sources. The perils of an infodemic debuted with the outbreak of the COVID-19 pandemic and bots (i.e., automated accounts controlled by a set of algorithms) that are suspected of spreading the infodemic. Although previous research has revealed that bots played a central role in spreading misinformation during major political events, how bots behavior during the infodemic is unclear. In this paper, we examined the roles of bots in the case of the COVID-19 infodemic and the diffusion of non-credible information such as \\\"5G\\\" and \\\"Bill Gates\\\" conspiracy theories and content related to \\\"Trump\\\" and \\\"WHO\\\" by analyzing retweet networks and retweeted items. We show the segregated topology of their retweet networks, which indicates that right-wing self-media accounts and conspiracy theorists may lead to this opinion cleavage, while malicious bots might favor amplification of the diffusion of non-credible information. Although the basic influence of information diffusion could be larger in human users than bots, the effects of bots are non-negligible under an infodemic situation.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s42001-021-00139-3.</p>\",\"PeriodicalId\":29946,\"journal\":{\"name\":\"Journal of Computational Social Science\",\"volume\":\" \",\"pages\":\"591-609\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8403696/pdf/\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Social Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s42001-021-00139-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/8/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL SCIENCES, MATHEMATICAL METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Social Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s42001-021-00139-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/8/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 16

摘要

“信息大流行”是由于网上信息过多而产生的一种新兴现象。这种信息的扩散使得公众很难区分可信的新闻和可信的信息与不可信的网站和不可信的来源。随着COVID-19大流行的爆发和机器人(即由一组算法控制的自动帐户)被怀疑传播信息大流行,信息大流行的危险首次出现。尽管之前的研究表明,在重大政治事件期间,机器人在传播错误信息方面发挥了核心作用,但机器人在信息大流行期间的行为方式尚不清楚。在本文中,我们通过分析转发网络和转发项目,研究了机器人在COVID-19信息大流行中的作用,以及“5G”和“比尔盖茨”阴谋论、“特朗普”和“世卫组织”相关内容等不可信信息的传播。我们展示了他们的转发网络的隔离拓扑,这表明右翼自媒体账户和阴谋论者可能导致这种意见分裂,而恶意机器人可能倾向于扩大不可信信息的传播。虽然信息扩散对人类用户的基本影响可能大于机器人,但在信息大流行的情况下,机器人的影响是不可忽视的。补充信息:在线版本包含补充资料,提供地址为10.1007/s42001-021-00139-3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Characterizing the roles of bots on Twitter during the COVID-19 infodemic.

Characterizing the roles of bots on Twitter during the COVID-19 infodemic.

Characterizing the roles of bots on Twitter during the COVID-19 infodemic.

Characterizing the roles of bots on Twitter during the COVID-19 infodemic.

An infodemic is an emerging phenomenon caused by an overabundance of information online. This proliferation of information makes it difficult for the public to distinguish trustworthy news and credible information from untrustworthy sites and non-credible sources. The perils of an infodemic debuted with the outbreak of the COVID-19 pandemic and bots (i.e., automated accounts controlled by a set of algorithms) that are suspected of spreading the infodemic. Although previous research has revealed that bots played a central role in spreading misinformation during major political events, how bots behavior during the infodemic is unclear. In this paper, we examined the roles of bots in the case of the COVID-19 infodemic and the diffusion of non-credible information such as "5G" and "Bill Gates" conspiracy theories and content related to "Trump" and "WHO" by analyzing retweet networks and retweeted items. We show the segregated topology of their retweet networks, which indicates that right-wing self-media accounts and conspiracy theorists may lead to this opinion cleavage, while malicious bots might favor amplification of the diffusion of non-credible information. Although the basic influence of information diffusion could be larger in human users than bots, the effects of bots are non-negligible under an infodemic situation.

Supplementary information: The online version contains supplementary material available at 10.1007/s42001-021-00139-3.

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
Journal of Computational Social Science
Journal of Computational Social Science SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
6.20
自引率
6.20%
发文量
30
×
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