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Event history analysis of the duration of online public opinions regarding major health emergencies
Based on event history analysis, this study examined the survival distribution of the duration of online public opinions related to major health emergencies and its influencing factors. We analyzed the data of such emergencies (N = 125) that took place in China during a period of 10 years (2012–2021...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513521/ https://www.ncbi.nlm.nih.gov/pubmed/36176789 http://dx.doi.org/10.3389/fpsyg.2022.954559 |
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author | Liu, Xiaoyan Zhao, Jiarui Liu, Ran Liu, Kai |
author_facet | Liu, Xiaoyan Zhao, Jiarui Liu, Ran Liu, Kai |
author_sort | Liu, Xiaoyan |
collection | PubMed |
description | Based on event history analysis, this study examined the survival distribution of the duration of online public opinions related to major health emergencies and its influencing factors. We analyzed the data of such emergencies (N = 125) that took place in China during a period of 10 years (2012–2021). The results of the Kaplan-Meier method and Cox proportional hazards regression analysis showed that the average duration of online public opinions regarding health emergencies is 43 days, and the median is 19 days, which dispels the myth of the “Seven-day Law of Propagation.” Furthermore, the duration of online public opinions can be divided into three stages: the rapid decline stage (0–50 days), the slowdown stage (51–200 days), and the disappearing stage (after 200 days). In addition, the type of event, and the volume of both social media discussion and traditional media coverage all had significant impacts on the duration. Our findings provide practical implications for the carrying out of targeted and stage-based governance of public opinions. |
format | Online Article Text |
id | pubmed-9513521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95135212022-09-28 Event history analysis of the duration of online public opinions regarding major health emergencies Liu, Xiaoyan Zhao, Jiarui Liu, Ran Liu, Kai Front Psychol Psychology Based on event history analysis, this study examined the survival distribution of the duration of online public opinions related to major health emergencies and its influencing factors. We analyzed the data of such emergencies (N = 125) that took place in China during a period of 10 years (2012–2021). The results of the Kaplan-Meier method and Cox proportional hazards regression analysis showed that the average duration of online public opinions regarding health emergencies is 43 days, and the median is 19 days, which dispels the myth of the “Seven-day Law of Propagation.” Furthermore, the duration of online public opinions can be divided into three stages: the rapid decline stage (0–50 days), the slowdown stage (51–200 days), and the disappearing stage (after 200 days). In addition, the type of event, and the volume of both social media discussion and traditional media coverage all had significant impacts on the duration. Our findings provide practical implications for the carrying out of targeted and stage-based governance of public opinions. Frontiers Media S.A. 2022-09-13 /pmc/articles/PMC9513521/ /pubmed/36176789 http://dx.doi.org/10.3389/fpsyg.2022.954559 Text en Copyright © 2022 Liu, Zhao, Liu and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Liu, Xiaoyan Zhao, Jiarui Liu, Ran Liu, Kai Event history analysis of the duration of online public opinions regarding major health emergencies |
title | Event history analysis of the duration of online public opinions regarding major health emergencies |
title_full | Event history analysis of the duration of online public opinions regarding major health emergencies |
title_fullStr | Event history analysis of the duration of online public opinions regarding major health emergencies |
title_full_unstemmed | Event history analysis of the duration of online public opinions regarding major health emergencies |
title_short | Event history analysis of the duration of online public opinions regarding major health emergencies |
title_sort | event history analysis of the duration of online public opinions regarding major health emergencies |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513521/ https://www.ncbi.nlm.nih.gov/pubmed/36176789 http://dx.doi.org/10.3389/fpsyg.2022.954559 |
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