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How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study
Motivated by the realistic demand of controlling the Internet public opinion risk caused by the local outbreak of COVID-19, this paper creatively proposes a COVID-19 local outbreak Internet public opinion risk grading research framework. The SMAA-FAHPSort II method combining Analytic Hierarchy Proce...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463078/ https://www.ncbi.nlm.nih.gov/pubmed/36105882 http://dx.doi.org/10.1016/j.techsoc.2022.102113 |
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author | Liu, Liyi Tu, Yan Zhou, Xiaoyang |
author_facet | Liu, Liyi Tu, Yan Zhou, Xiaoyang |
author_sort | Liu, Liyi |
collection | PubMed |
description | Motivated by the realistic demand of controlling the Internet public opinion risk caused by the local outbreak of COVID-19, this paper creatively proposes a COVID-19 local outbreak Internet public opinion risk grading research framework. The SMAA-FAHPSort II method combining Analytic Hierarchy Process Sort II (AHPSort II) method with Stochastic Multicriteria Acceptability Analysis (SMAA-2) method is introduced into this framework, to evaluate the Internet public opinion risk level of social media during the local outbreak of COVID-19. In addition, this framework is applied to a case of Internet public opinion risk evaluation on Microblog platform of China. According to the number of new cases per day in mainland China, this paper divides the period from May 7, 2020 to September 3, 2021 into seven stages. A total of more than 10,000 Microblog hot topics were collected, after screening and preprocessing, 5422 related topics are remained to help complete the Internet public opinion risk evaluation. The case study analysis results show that the number of days classified as moderate risk and above has reached more than 280. This proves that the local outbreak of COVID-19 will indeed increase the risk of Internet public opinion, and correlation analysis confirms that the level of public opinion risk is positively correlated with the severity of the epidemic in the real world. Furthermore, the effectiveness and advantages of the proposed method are verified by comparative analysis and sensitivity analysis. Finally, some effective public opinion management suggestions have been put forward. This paper can provide reference for the government to formulate or improve relevant strategies, and also has great significance for reducing the risk of Internet public opinion in social media. |
format | Online Article Text |
id | pubmed-9463078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94630782022-09-10 How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study Liu, Liyi Tu, Yan Zhou, Xiaoyang Technol Soc Article Motivated by the realistic demand of controlling the Internet public opinion risk caused by the local outbreak of COVID-19, this paper creatively proposes a COVID-19 local outbreak Internet public opinion risk grading research framework. The SMAA-FAHPSort II method combining Analytic Hierarchy Process Sort II (AHPSort II) method with Stochastic Multicriteria Acceptability Analysis (SMAA-2) method is introduced into this framework, to evaluate the Internet public opinion risk level of social media during the local outbreak of COVID-19. In addition, this framework is applied to a case of Internet public opinion risk evaluation on Microblog platform of China. According to the number of new cases per day in mainland China, this paper divides the period from May 7, 2020 to September 3, 2021 into seven stages. A total of more than 10,000 Microblog hot topics were collected, after screening and preprocessing, 5422 related topics are remained to help complete the Internet public opinion risk evaluation. The case study analysis results show that the number of days classified as moderate risk and above has reached more than 280. This proves that the local outbreak of COVID-19 will indeed increase the risk of Internet public opinion, and correlation analysis confirms that the level of public opinion risk is positively correlated with the severity of the epidemic in the real world. Furthermore, the effectiveness and advantages of the proposed method are verified by comparative analysis and sensitivity analysis. Finally, some effective public opinion management suggestions have been put forward. This paper can provide reference for the government to formulate or improve relevant strategies, and also has great significance for reducing the risk of Internet public opinion in social media. Elsevier Ltd. 2022-11 2022-09-10 /pmc/articles/PMC9463078/ /pubmed/36105882 http://dx.doi.org/10.1016/j.techsoc.2022.102113 Text en © 2022 Elsevier Ltd. All rights reserved. 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 Liu, Liyi Tu, Yan Zhou, Xiaoyang How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study |
title | How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study |
title_full | How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study |
title_fullStr | How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study |
title_full_unstemmed | How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study |
title_short | How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study |
title_sort | how local outbreak of covid-19 affect the risk of internet public opinion: a chinese social media case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463078/ https://www.ncbi.nlm.nih.gov/pubmed/36105882 http://dx.doi.org/10.1016/j.techsoc.2022.102113 |
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