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疫情中的新闻事实核查:西班牙 COVID-19 危机期间的利益相关者、骗局和打击虚假信息的策略。

Journalistic Fact-Checking of Information in Pandemic: Stakeholders, Hoaxes, and Strategies to Fight Disinformation during the COVID-19 Crisis in Spain.

机构信息

Novos Medios Research Group, Universidade de Santiago de Compostela, 15782 Santiago, Spain.

Culture and Interactive Communication Research Group, Universidade da Coruña, 15008 A Coruña, Spain.

出版信息

Int J Environ Res Public Health. 2021 Jan 29;18(3):1227. doi: 10.3390/ijerph18031227.

DOI:10.3390/ijerph18031227
PMID:33573013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7908612/
Abstract

The public health crisis created by COVID-19 represents a challenge for journalists and the media. Specialised information in healthcare and science has turned into a need to deal with the current situation as well as the demand for information by society. In this context of increased uncertainty, the circulation of fake news on social networks and messaging applications has proliferated, producing what has been known as 'infodemic'. This paper is focused on the fact-checking of journalistic content using a combined methodology: content analysis of information denied by the main Spanish fact-checking platforms ( and ) and an in-depth questionnaire to these stakeholders. The results confirm the quantitative and qualitative evolution of disinformation. Quantitatively, more fact-checking is performed during the state of alarm. Qualitatively, hoaxes increase in complexity as the pandemic evolves, in such a way that disinformation engineering takes place, and it is expected to continue until the development of a vaccine.

摘要

由 COVID-19 引发的公共卫生危机给记者和媒体带来了挑战。医疗保健和科学方面的专业信息已成为应对当前形势以及满足社会信息需求的必要条件。在这种不确定性增加的情况下,社交网络和消息应用程序上的假新闻泛滥,产生了所谓的“信息疫情”。本文侧重于使用综合方法对新闻内容进行事实核查:对主要西班牙事实核查平台( 和 )否定的信息进行内容分析,以及对这些利益相关者进行深入的问卷调查。结果证实了虚假信息的数量和质量的演变。从数量上看,在警报状态下进行了更多的事实核查。从质量上看,随着大流行的发展,骗局的复杂性增加,以至于发生了虚假信息工程,预计这种情况将持续到疫苗开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6247/7908612/20ea92918399/ijerph-18-01227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6247/7908612/20ea92918399/ijerph-18-01227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6247/7908612/20ea92918399/ijerph-18-01227-g001.jpg

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本文引用的文献

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Fake news and COVID-19: modelling the predictors of fake news sharing among social media users.假新闻与新冠疫情:社交媒体用户间假新闻分享预测因素的建模分析
Telemat Inform. 2021 Jan;56:101475. doi: 10.1016/j.tele.2020.101475. Epub 2020 Jul 30.
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Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems.新冠疫情期间西班牙的情绪分析和情感理解及其对数字生态系统的影响。
Int J Environ Res Public Health. 2020 Jul 31;17(15):5542. doi: 10.3390/ijerph17155542.
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土耳其 COVID-19 网络搜索行为和信息疫情态度:改善 COVID-19 信息疫情应对和为政策提供信息的框架研究。
Front Public Health. 2022 Nov 8;10:948478. doi: 10.3389/fpubh.2022.948478. eCollection 2022.
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Int J Health Plann Manage. 2022 Nov;37(6):3039-3060. doi: 10.1002/hpm.3545. Epub 2022 Aug 19.
回音室和病毒式错误信息:将虚假新闻建模为复杂的传染。
PLoS One. 2018 Sep 20;13(9):e0203958. doi: 10.1371/journal.pone.0203958. eCollection 2018.