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http://dx.doi.org/10.5392/JKCA.2021.21.04.026

News Big Data Analysis of 'Media Literacy' Using Topic Modeling Analysis  

Han, Songlee (동국대학교 교수학습개발센터)
Kim, Taejong (한국청소년정책연구원 청소년정책분석평가센터)
Publication Information
The Journal of the Korea Contents Association / v.21, no.4, 2021 , pp. 26-37 More about this Journal
Abstract
This study conducted a big data analysis on news to identify the agenda of media literacy, which has been socially discussed, and on which relevant policy directions will be proposed. To this end 1,336 articles from January 1, 2019 to September 30, 2020 were collected and a topic modeling analysis was conducted according to four periods. Five topics for each period were derived through the analysis, and implications based on the results are as follows. First, the government should implement a nation-level systematic approach to media literacy education according to life cycle stages to generate economic and cultural value. Second, local communities and schools should provide systematic support and education guidance activities to ensure a sustainable ecosystem for media literacy and prevent an educational gap and loss in learning. Third, efforts should be made in various aspects to minimize the side effects resulting from constantly providing media literacy education; furthermore a culture of desirable media application should be established. Finally, a research environment for scientific research on media literacy, active exchange of experience and value obtained in the field, and long-term accumulation of research results should be encouraged to develop a robust knowledge exchange culture.
Keywords
Media Literacy; Media Literacy Education; Media Education; Digital Literacy;
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