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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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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. |
format | Online Article Text |
id | pubmed-8197418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
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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