Article(id=1242138128094405472, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138110100841276, articleNumber=null, orderNo=9, doi=10.3981/j.issn.1000-7857.2020.04.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1581264000000, receivedDateStr=2020-02-10, revisedDate=1582646400000, revisedDateStr=2020-02-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1585716114473, onlineDateStr=2020-04-01, pubDate=1582819200000, pubDateStr=2020-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1585716114473, onlineIssueDateStr=2020-04-01, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078407545, creator=sys-migrate, updateTime=1774078407545, updator=sys-migrate, issue=Issue{id=1242138110100841276, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='4', pageStart='1', pageEnd='120', issueExtLink='null', onlineDate='null', pubDate='1582819200000', pubDateStr='2020-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078403255, creator='sys-migrate', updateTime=1774078403255, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=55, endPage=65, ext={EN=ArticleExt(id=1242138134239064592, articleId=1242138128094405472, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Spread and governance of pseudo-science Internet rumors in major public healthy emergencies based on SEIR model: A case study of COVID-19 epidemic, columnId=1242138122943803855, journalTitle=Science & Technology Review, columnName=Exclusive: COVID-19, runingTitle=null, highlight=null, articleAbstract=By 18:00 on February 16, 2020, the cumulative number of confirmed cases caused by COVID-19 epidemic in China has reached 68,592. The epidemic control work is at a critical period. However, the proliferation of the pseudo-science Internet rumors during the COVID-19 epidemic cause widespread adverse social events, such as the blind rush purchases and hoarding, which seriously affect the epidemic control and the normal social order. Taking the COVID-19 epidemic as an example, this paper reviews the definitions of the pseudo-science and Internet rumors proposed by domestic and foreign scholars. Four major pseudo-science Internet rumors that have had a greater impact in this epidemic, and the data on Sina Weibo(microblog) are used as examples to analyze the spread characteristics of the pseudo-science Internet rumors. Based on the SEIR model, this paper comprehensively analyzes factors such as the lag of official intervention, the bandwagon effect of individual information acceptance, and the spread characteristics of rumors, and the mechanism of the pseudo-science Internet rumors in major public health emergencies through numerical experiments. Finally, this paper proposes countermeasures for the pseudo-science Internet rumors in major public healthy emergencies from various angles., authors=CHEN An^1,2, WANG Zijun^1,2, CHEN Yinghua³, authorsList=CHEN An, WANG Zijun, CHEN Yinghua, authorCompany=1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. School of management, Jiangsu University, Zhenjiang 212013, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=6SxIfANj1eMbQjIovSGbfw==, pdfFileSize=2055052, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138132775248764, articleId=1242138128094405472, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于SEIR模型视角的重大公共卫生事件中伪科学网络谣言的传播治理：以新冠肺炎疫情为例, columnId=1242138121870062019, journalTitle=科技导报, columnName=专题：新冠肺炎, runingTitle=null, highlight=null, articleAbstract=新型冠状病毒肺炎防疫工作进入关键时期，而期间大量滋生的伪科学网络谣言导致各地广泛出现盲目抢购、囤货等不良社会事件，严重影响疫情防控与社会正常秩序。以新冠肺炎疫情为例，在总结梳理国内外学者对伪科学、网络谣言等定义的基础上，给出适用本文的伪科学网络谣言的定义；选取本次疫情中影响较大的4个伪科学网络谣言，收集其在新浪微博传播过程中的数据，分析伪科学网络谣言在疫情中的传播特点；以SEIR模型为基础，综合考虑政府干预滞后性、个体信息接受从众效应、谣言传播特点等对模型进行合理改进，并通过数值实验对重大公共卫生事件中的伪科学网络谣言传播机制进一步研究；最后，基于前文分析从不同角度对重大公共卫生事件中伪科学网络谣言的传播治理提出针对性对策建议。, authors=陈安^1,2, 王子君^1,2, 陈樱花³, authorsList=陈安, 王子君, 陈樱花, authorCompany=1. 中国科学院科技战略咨询研究院, 北京 100190;
2. 中国科学院大学, 北京 100049;
3. 江苏大学管理学院, 镇江 212013, correspAuthors=null, authorNote=陈安,研究员,研究方向为现代应急管理、管理机制设计,电子信箱:change1970@163.com;王子君(共同第一作者),硕士研究生,研究方向为现代应急管理,电子信箱:fightingzj@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=rU6TmCv2k8+jgIvMnsU9nw==, pdfFileSize=2055052, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家社会科学基金重点项目（19AZD019）；中国科学院科技战略咨询研究院国际合作项目（Y9X3541H）)}, authors=null, keywords=[Keyword(id=1242138132380984180, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138128094405472, language=CN, orderNo=1, keyword=公共卫生事件), Keyword(id=1242138132469064565, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138128094405472, language=CN, orderNo=1, keyword=伪科学), 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