The relationship between media literacy and detection of fake news related to COVID-19
Journal of Health Administration, ISSN: 2008-1219, Vol: 26, Issue: 4, Page: 47-65
2023
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Introduction: One approach that protects society against the spread of information in crises is to increase media literacy. This study investigated the relationship between media literacy and the ability to detect fake news related to COVID-19 among students at Ahvaz Jundishapur University of Medical Sciences. Methods: The research population of this descriptive-correlational study consisted of students of various educational levels at Ahvaz Jundishapur University of Medical Sciences (7494 people). The sample size was estimated to be 367. The inclusion criteria included students’ willingness to participate in the research, and the exclusion criteria were non-completion of the questionnaire. Media literacy was measured using the questionnaire developed by Barati et al. The ability to detect fake news related to COVID-19 was assessed using the questionnaire developed by Esmaeili et al. Descriptive and inferential statistics were used to analyze the data. The data were analyzed using SPSS 26. Results: The findings indicated that students had sufficient media literacy related to COVID-19 and could detect fake news. There was a significant difference in media literacy between male and female students and among students with different educational levels. However, there was no significant difference in the ability to detect fake news based on gender or educational level. A positive and significant relationship was observed between media literacy related to COVID-19 and the ability to detect fake news (r=0.367, p<0.05). Conclusion: The students of Ahvaz Jundishapur University of Medical Sciences have sufficient media literacy and can detect fake news related to COVID-19.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know