Suppr超能文献

描述机器人在新冠疫情信息疫情期间在推特上所扮演的角色。

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

作者信息

Xu Wentao, Sasahara Kazutoshi

机构信息

Graduate School of Informatics, Nagoya University, Nagoya, Japan.

School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japan.

出版信息

J Comput Soc Sci. 2022;5(1):591-609. doi: 10.1007/s42001-021-00139-3. Epub 2021 Aug 30.

Abstract

UNLABELLED

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.

摘要

未标注

信息疫情是一种由网上信息过剩引发的新现象。信息的这种激增使得公众难以从不可信的网站和不可靠的来源中辨别出可信的新闻和可靠的信息。信息疫情的危害随着新冠疫情的爆发而首次出现,同时出现了疑似传播信息疫情的机器人程序(即由一组算法控制的自动化账户)。尽管先前的研究表明,机器人程序在重大政治事件期间传播错误信息方面发挥了核心作用,但在信息疫情期间机器人程序的行为尚不清楚。在本文中,我们通过分析转发网络和转发内容,研究了机器人程序在新冠信息疫情以及诸如“5G”和“比尔·盖茨”阴谋论等不可信信息的传播,以及与“特朗普”和“世卫组织”相关内容传播中的作用。我们展示了它们转发网络的隔离拓扑结构,这表明右翼自媒体账户和阴谋论者可能导致了这种观点分裂,而恶意机器人程序可能有利于不可信信息传播的放大。尽管信息传播在人类用户中的基本影响可能比机器人程序更大,但在信息疫情情况下,机器人程序的影响不可忽视。

补充信息

在线版本包含可在10.1007/s42001-021-00139-3获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/943e/8403696/c6d5727ab487/42001_2021_139_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验