The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems DOI Creative Commons
Isaac Kofi Mensah, Muhammad Khalil Khan, Juan Liang

et al.

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 14

Published: June 19, 2023

Introduction Social media systems are instrumental in the dissemination of timely COVID-19 pandemic information to general population and contribute fight against waves disinformation during pandemic. This study uses adoption model (IAM) as theoretical framework examine moderating influence perceived government transparency on social from Ghanaian perspective. Government regarding is crucial since any lack can negatively affect global response by destroying trust (in public health authorities/institutions), intensifying fears, causing destructive behaviors. Methods It applies a convenient sampling technique collect responses 516 participants using self-administrated questionnaires. The data analysis was computed analyzed with SPSS-22. following statistical tests were conducted test hypotheses: descriptive statistics, scale reliability test, Pearson bivariate correlation, multiple linear regressions, hierarchical regression, slope analysis. Results results indicate that quality, credibility, usefulness significant drivers systems. Furthermore, positively moderates Conclusion managerial implications these findings suggest utilization an effective tool support continued current its future role national emergencies.

Language: Английский

Assessing secondary school students’ digital health literacy, information searching behaviours, and satisfaction with online COVID-19 information in Northern Ghana DOI Creative Commons
Francis Sambah, Frank Quansah,

Medina Srem‐Sai

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(7), P. e17936 - e17936

Published: July 1, 2023

Available evidence suggests that managing the complexities of health information and behaviours associated with search call for adequate digital literacy (DHL). Students' ability to judge relevance health-related largely affects their level satisfaction information. The study assessed DHL, searching behaviours, link between DHL COVID-19 cross-sectional utilised multi-stage sampling technique in selection 1392 secondary school students Northern Region Ghana. A questionnaire was used survey students. displayed an inadequate online Predictably, most them had not searched past four weeks prior data collection. Search engine portals, websites public bodies, news portals were predominant platforms search. majority participants reported being satisfied they find on internet about coronavirus. significant association levels utilization platforms, such who showed high which reviewed/professional content as compared those low DHL. Advanced may serve a disincentive consumption from sources are credible. There is urgent collaboration among ministries responsible education health, telecommunication networks, civil society organisations interventions integration curricula.

Language: Английский

Citations

5

The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems DOI Creative Commons
Isaac Kofi Mensah, Muhammad Khalil Khan, Juan Liang

et al.

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 14

Published: June 19, 2023

Introduction Social media systems are instrumental in the dissemination of timely COVID-19 pandemic information to general population and contribute fight against waves disinformation during pandemic. This study uses adoption model (IAM) as theoretical framework examine moderating influence perceived government transparency on social from Ghanaian perspective. Government regarding is crucial since any lack can negatively affect global response by destroying trust (in public health authorities/institutions), intensifying fears, causing destructive behaviors. Methods It applies a convenient sampling technique collect responses 516 participants using self-administrated questionnaires. The data analysis was computed analyzed with SPSS-22. following statistical tests were conducted test hypotheses: descriptive statistics, scale reliability test, Pearson bivariate correlation, multiple linear regressions, hierarchical regression, slope analysis. Results results indicate that quality, credibility, usefulness significant drivers systems. Furthermore, positively moderates Conclusion managerial implications these findings suggest utilization an effective tool support continued current its future role national emergencies.

Language: Английский

Citations

4