Cluster Structure of Online Users Generated from Interaction Between Fake News and Corrections

IF 0.7 4区 计算机科学 Q3 Engineering IEICE Transactions on Communications Pub Date : 2023-01-01 DOI:10.1587/transcom.2022ebp3059
M. Aida, Takumi Sakiyama, Ayako Hashizume, C. Takano
{"title":"Cluster Structure of Online Users Generated from Interaction Between Fake News and Corrections","authors":"M. Aida, Takumi Sakiyama, Ayako Hashizume, C. Takano","doi":"10.1587/transcom.2022ebp3059","DOIUrl":null,"url":null,"abstract":"SUMMARY The problem caused by fake news continues to worsen in today’s online social networks. Intuitively, it seems effective to issue corrections as a countermeasure. However, corrections can, ironically, strengthen attention to fake news, which worsens the situation. This paper proposes a model for describing the interaction between fake news and the corrections as a reaction-diffusion system; this yields the mechanism by which corrections increase attention to fake news. In this model, the emergence of groups of users who believe in fake news is understood as a Turing pattern that appears in the activator-inhibitor model. Numerical calculations show that even if the network structure has no spatial bias, the interaction between fake news and the corrections creates groups that are strongly interested in discussing fake news. Also, we propose and evaluate a basic strategy to counter fake news.","PeriodicalId":48825,"journal":{"name":"IEICE Transactions on Communications","volume":"67 1","pages":"392-401"},"PeriodicalIF":0.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEICE Transactions on Communications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1587/transcom.2022ebp3059","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

SUMMARY The problem caused by fake news continues to worsen in today’s online social networks. Intuitively, it seems effective to issue corrections as a countermeasure. However, corrections can, ironically, strengthen attention to fake news, which worsens the situation. This paper proposes a model for describing the interaction between fake news and the corrections as a reaction-diffusion system; this yields the mechanism by which corrections increase attention to fake news. In this model, the emergence of groups of users who believe in fake news is understood as a Turing pattern that appears in the activator-inhibitor model. Numerical calculations show that even if the network structure has no spatial bias, the interaction between fake news and the corrections creates groups that are strongly interested in discussing fake news. Also, we propose and evaluate a basic strategy to counter fake news.
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
假新闻与更正互动产生的在线用户集群结构
假新闻造成的问题在当今的在线社交网络中不断恶化。直觉上,作为一种对策,发布更正似乎是有效的。然而,具有讽刺意味的是,纠正可能会加强对假新闻的关注,从而使情况恶化。本文提出了一个将假新闻与更正之间的相互作用描述为反应扩散系统的模型;这就产生了一种机制,即更正会增加对假新闻的关注。在这个模型中,相信假新闻的用户群体的出现被理解为出现在激活-抑制模型中的图灵模式。数值计算表明,即使网络结构没有空间偏差,假新闻和更正之间的相互作用也会产生对讨论假新闻有强烈兴趣的群体。此外,我们提出并评估了一个打击假新闻的基本策略。
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
IEICE Transactions on Communications
IEICE Transactions on Communications ENGINEERING, ELECTRICAL & ELECTRONIC-TELECOMMUNICATIONS
CiteScore
1.50
自引率
28.60%
发文量
101
期刊介绍: The IEICE Transactions on Communications is an all-electronic journal published occasionally by the Institute of Electronics, Information and Communication Engineers (IEICE) and edited by the Communications Society in IEICE. The IEICE Transactions on Communications publishes original, peer-reviewed papers that embrace the entire field of communications, including: - Fundamental Theories for Communications - Energy in Electronics Communications - Transmission Systems and Transmission Equipment for Communications - Optical Fiber for Communications - Fiber-Optic Transmission for Communications - Network System - Network - Internet - Network Management/Operation - Antennas and Propagation - Electromagnetic Compatibility (EMC) - Wireless Communication Technologies - Terrestrial Wireless Communication/Broadcasting Technologies - Satellite Communications - Sensing - Navigation, Guidance and Control Systems - Space Utilization Systems for Communications - Multimedia Systems for Communication
期刊最新文献
Service Deployment Model with Virtual Network Function Resizing Based on Per-Flow Priority Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion Intrusion Detection Model of Internet of Things Based on LightGBM Sub-Signal Channel Modulation for Hitless Redundancy Switching Systems A Resource-Efficient Green Paradigm For Crowdsensing Based Spectrum Detection In Internet of Things Networks
×
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