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In order to understand the current situation of rumor refutation platforms and explore new countermeasures for rumor refuting, the author takes Tencent News Comparison Platform “Real-Time Rumor Refuting for COVID-19” as the research object. Samples are taken from the publications of the platform in more than a month to analyze the numbers of the rumors verified, the source of information and its reliability, the verifiers under real names, and the differing data of verification results, etc.. It is concluded that there are several advantages in the performance of the platform, such as brevity and novel forms, highlighted credit of verification, subdivided verification results, rapid real-time rumor refuting, new mass media used, enhanced communication through multi-entrances, and so on. However, there still remain some problems, namely, the selection of verifiers needs to be improved, the verification results need to be further subdivided scientifically, the presentation of truths and rumors in proportion needs to be reasonably optimized, the communication function of verification articles needs to be enhanced, and the real-time rumor refuting library needs to be developed. It is concluded that rumor refuting mechanism should be developed by active use of big data technology, by establishment of multi-party alliances, and by market-oriented operations.
, authors=Hancheng Zhong, authorsList=Hancheng Zhong, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, 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=1289300536407204847, articleId=1289300535706756077, tenantId=1146029695717560320, journalId=1149652312894775300, language=CN, title=新冠肺炎疫情防控期间的辟谣现状和对策分析——以腾讯新闻较真平台“新型冠状病毒肺炎实时辟谣”为例, columnId=null, journalTitle=科普研究, columnName=, runingTitle=null, highlight=null, articleAbstract=
为了解辟谣平台的发展现状、探讨发展对策,选择腾讯新闻较真平台“新型冠状病毒肺炎实时辟谣”为研究对象,以其1个多月的发稿情况为样本,分析查证谣言数量变化、信息来源及权威性、具名人士查证情况、查证结果类型数据等,总结出刊发形式简明新颖、权威查证得以突显、细分查证结果类型、实时辟谣快速及时、新媒体突显辟谣优势、多个入口增强传播等特点,提出查证人士选择机制待完善、查证结果类型待科学细分、真假传言比例待合理优化、查证文章传播力有待提升、实时辟谣库待开发与利用等问题,得出辟谣要积极运用大数据技术、组建多方联盟探讨未来发展、市场化运营助力辟谣大发展等结论。
, authors=钟汉成, authorsList=钟汉成, authorCompany=null, correspAuthors=null, authorNote=
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钟汉成,广西科学技术普及传播中心副总编,主任记者,主要研究方向:科学传播、科普创作,E-mail:375797210@qq.com。
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钟汉成,广西科学技术普及传播中心副总编,主任记者,主要研究方向:科学传播、科普创作,E-mail:375797210@qq.com。
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