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Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information

In early 2020, the new coronavirus pneumonia (Referred to as COVID-19) spread rapidly throughout the country, which has a major impact on economic and social development. Timely and accurate disclosure of epidemic information will enhance the public’s ability to discriminate against false informatio...

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Detalles Bibliográficos
Autores principales: Huang, Xiaohui, Li, Gang, Wang, Yu, Li, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197418/
https://www.ncbi.nlm.nih.gov/pubmed/34149966
http://dx.doi.org/10.1016/j.procs.2021.04.040
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author Huang, Xiaohui
Li, Gang
Wang, Yu
Li, Xiaohui
author_facet Huang, Xiaohui
Li, Gang
Wang, Yu
Li, Xiaohui
author_sort Huang, Xiaohui
collection PubMed
description In early 2020, the new coronavirus pneumonia (Referred to as COVID-19) spread rapidly throughout the country, which has a major impact on economic and social development. Timely and accurate disclosure of epidemic information will enhance the public’s ability to discriminate against false information. The influence mechanism of epidemic information disclosure on the identification of true and false information was studied, and the influencing factors of epidemic information disclosure were analyzed and studied under the framework of the "Technology-Organization-Environment" (TOE) model and the two-factor theory of driving factors and impeding factors. Combined with the relevant data from the Open Data Network of Shandong and Jinan and the attention of hot news events on the Internet since the outbreak of the epidemic, it is proposed that information disclosure is conducive to reasonably guiding the public attitude and enhancing the ability of information screening.
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spelling pubmed-81974182021-06-15 Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information Huang, Xiaohui Li, Gang Wang, Yu Li, Xiaohui Procedia Comput Sci Article In early 2020, the new coronavirus pneumonia (Referred to as COVID-19) spread rapidly throughout the country, which has a major impact on economic and social development. Timely and accurate disclosure of epidemic information will enhance the public’s ability to discriminate against false information. The influence mechanism of epidemic information disclosure on the identification of true and false information was studied, and the influencing factors of epidemic information disclosure were analyzed and studied under the framework of the "Technology-Organization-Environment" (TOE) model and the two-factor theory of driving factors and impeding factors. Combined with the relevant data from the Open Data Network of Shandong and Jinan and the attention of hot news events on the Internet since the outbreak of the epidemic, it is proposed that information disclosure is conducive to reasonably guiding the public attitude and enhancing the ability of information screening. The Author(s). Published by Elsevier B.V. 2021 2021-06-12 /pmc/articles/PMC8197418/ /pubmed/34149966 http://dx.doi.org/10.1016/j.procs.2021.04.040 Text en © 2021 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Huang, Xiaohui
Li, Gang
Wang, Yu
Li, Xiaohui
Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information
title Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information
title_full Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information
title_fullStr Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information
title_full_unstemmed Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information
title_short Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information
title_sort research on the influence mechanism of epidemic information disclosure on screening authenticity information
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197418/
https://www.ncbi.nlm.nih.gov/pubmed/34149966
http://dx.doi.org/10.1016/j.procs.2021.04.040
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