Suppr超能文献

感知到的政府信息透明度对社交媒体系统上新冠疫情信息采纳的调节作用。

The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems.

作者信息

Mensah Isaac Kofi, Khan Muhammad Khalil, Liang Juan, Zhu Nan, Lin Li-Wei, Mwakapesa Deborah Simon

机构信息

Business Administration, Fujian Jiangxia University, New University Campus, Fuzhou, Fujian, China.

Department of Journalism and Communication, School of Media and Law, NingboTech University, Ningbo, China.

出版信息

Front Psychol. 2023 Jun 19;14:1172094. doi: 10.3389/fpsyg.2023.1172094. eCollection 2023.

Abstract

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.

摘要

引言

社交媒体系统有助于向普通民众及时传播新冠疫情信息,并在抗击疫情以及应对新冠疫情期间的虚假信息浪潮方面发挥作用。本研究以信息采纳模型(IAM)为理论框架,从加纳的视角审视政府信息透明度认知对社交媒体系统上新冠疫情信息采纳的调节作用。政府在疫情方面的信息透明度至关重要,因为任何透明度的缺失都可能通过破坏信任(对政府和公共卫生当局/机构的信任)、加剧恐惧以及引发破坏性行为,对全球抗疫行动产生负面影响。

方法

采用便利抽样技术,通过自行填写问卷收集516名参与者的回复。使用SPSS - 22进行数据分析和计算。进行了以下统计测试以检验假设:描述性统计、量表信度测试、皮尔逊双变量相关性分析、多元线性回归、分层回归和斜率分析。

结果

结果表明,信息质量、信息可信度和信息有用性是社交媒体系统上新冠疫情信息采纳的重要驱动因素。此外,政府信息透明度认知对信息质量、信息可信度和信息有用性在社交媒体系统上新冠疫情信息采纳的影响具有正向调节作用。

结论

这些研究结果的理论和管理意义表明,应利用社交媒体系统作为一种有效工具,以支持持续抗击当前的新冠疫情及其在国家和全球公共卫生紧急情况中的未来作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/016b/10315676/abf19584c494/fpsyg-14-1172094-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验