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The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems
INTRODUCTION: Social media systems are instrumental in the dissemination of timely COVID-19 pandemic information to the general population and contribute to the fight against the pandemic and waves of disinformation during the COVID-19 pandemic. This study uses the information adoption model (IAM) a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315676/ https://www.ncbi.nlm.nih.gov/pubmed/37404584 http://dx.doi.org/10.3389/fpsyg.2023.1172094 |
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author | Mensah, Isaac Kofi Khan, Muhammad Khalil Liang, Juan Zhu, Nan Lin, Li-Wei Mwakapesa, Deborah Simon |
author_facet | Mensah, Isaac Kofi Khan, Muhammad Khalil Liang, Juan Zhu, Nan Lin, Li-Wei Mwakapesa, Deborah Simon |
author_sort | Mensah, Isaac Kofi |
collection | PubMed |
description | INTRODUCTION: Social media systems are instrumental in the dissemination of timely COVID-19 pandemic information to the general population and contribute to the fight against the pandemic and waves of disinformation during the COVID-19 pandemic. This study uses the information adoption model (IAM) as the theoretical framework to examine the moderating influence of perceived government information transparency on the adoption of COVID-19 pandemic information on social media systems from the Ghanaian perspective. Government information transparency regarding the pandemic is crucial since any lack of transparency can negatively affect the global response to the pandemic by destroying trust (in government and public health authorities/institutions), intensifying fears, and causing destructive behaviors. METHODS: It applies a convenient sampling technique to collect the responses from 516 participants by using self-administrated questionnaires. The data analysis was computed and analyzed with SPSS-22. The following statistical tests were conducted to test the hypotheses: descriptive statistics, scale reliability test, Pearson bivariate correlation, multiple linear regressions, hierarchical regression, and slope analysis. RESULTS: The results indicate that information quality, information credibility, and information usefulness are significant drivers of COVID-19 pandemic information adoption on social media systems. Furthermore, the perceived government information transparency positively moderates the influence of information quality, information credibility, and information usefulness on the adoption of COVID-19 pandemic information on social media systems. CONCLUSION: The theoretical and managerial implications of these findings suggest the utilization of social media systems as an effective tool to support the continued fight against the current COVID-19 pandemic and its future role in national and global public health emergencies. |
format | Online Article Text |
id | pubmed-10315676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103156762023-07-04 The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems Mensah, Isaac Kofi Khan, Muhammad Khalil Liang, Juan Zhu, Nan Lin, Li-Wei Mwakapesa, Deborah Simon Front Psychol Psychology INTRODUCTION: Social media systems are instrumental in the dissemination of timely COVID-19 pandemic information to the general population and contribute to the fight against the pandemic and waves of disinformation during the COVID-19 pandemic. This study uses the information adoption model (IAM) as the theoretical framework to examine the moderating influence of perceived government information transparency on the adoption of COVID-19 pandemic information on social media systems from the Ghanaian perspective. Government information transparency regarding the pandemic is crucial since any lack of transparency can negatively affect the global response to the pandemic by destroying trust (in government and public health authorities/institutions), intensifying fears, and causing destructive behaviors. METHODS: It applies a convenient sampling technique to collect the responses from 516 participants by using self-administrated questionnaires. The data analysis was computed and analyzed with SPSS-22. The following statistical tests were conducted to test the hypotheses: descriptive statistics, scale reliability test, Pearson bivariate correlation, multiple linear regressions, hierarchical regression, and slope analysis. RESULTS: The results indicate that information quality, information credibility, and information usefulness are significant drivers of COVID-19 pandemic information adoption on social media systems. Furthermore, the perceived government information transparency positively moderates the influence of information quality, information credibility, and information usefulness on the adoption of COVID-19 pandemic information on social media systems. CONCLUSION: The theoretical and managerial implications of these findings suggest the utilization of social media systems as an effective tool to support the continued fight against the current COVID-19 pandemic and its future role in national and global public health emergencies. Frontiers Media S.A. 2023-06-19 /pmc/articles/PMC10315676/ /pubmed/37404584 http://dx.doi.org/10.3389/fpsyg.2023.1172094 Text en Copyright © 2023 Mensah, Khan, Liang, Zhu, Lin and Mwakapesa. 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 Mensah, Isaac Kofi Khan, Muhammad Khalil Liang, Juan Zhu, Nan Lin, Li-Wei Mwakapesa, Deborah Simon The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems |
title | The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems |
title_full | The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems |
title_fullStr | The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems |
title_full_unstemmed | The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems |
title_short | The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems |
title_sort | moderating influence of perceived government information transparency on covid-19 pandemic information adoption on social media systems |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315676/ https://www.ncbi.nlm.nih.gov/pubmed/37404584 http://dx.doi.org/10.3389/fpsyg.2023.1172094 |
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