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http://dx.doi.org/10.14578/jkfs.2021.110.3.462

An Analysis of Social Perception on Forest Using News Big Data  

Jang, Youn-Sun (Division of Forest Human Service Research, National Institute of Forest Science)
Lee, Ju-Eun (Division of Forest Human Service Research, National Institute of Forest Science)
Na, So-Yeon (Division of Forest Human Service Research, National Institute of Forest Science)
Lee, Jeong-Hee (Division of Forest Human Service Research, National Institute of Forest Science)
Seo, Jeong-Weon (Division of Forest Human Service Research, National Institute of Forest Science)
Publication Information
Journal of Korean Society of Forest Science / v.110, no.3, 2021 , pp. 462-477 More about this Journal
Abstract
The purpose of this study was to understand changes in domestic forest policy and social perception of forests from a macro perspective using big data analysis of news articles and editorials. A total of 13,570 'forest' related data were collected from metropolitan and economic journals from 1946-2017 using keyword and CONCOR (Convergence of iterated Correlations) analysis. First, we found the percentage of articles and editorials using the keyword 'forest'increased overall. Second, news data on 'forest' in the field of reporting was concentrated in the "social" sector during the first period (1946-1966), followed by forest-related issues expanding to various fields from the second (1967-1972) to fifth (1988-1997) periods, then toward the "culture" sector in the sixth (1998-2007) and "politics" after the seventh (2008-2017) period. Third, we found changes in the policy paradigm over time significantly changed social awareness. In the first and second periods, people experienced livelihood issues rather than forest greening or forest protection policy and expanded their awareness of planned and scientific afforestation (third) to environmental protection (fourth) and ecological perspectives (sixth to seventh). The key outcome of our analysis was leveraging news big data that reflected polices on forests and public social perception To further derive future social issues,more in-depth analysis of public discourse and perception will be possible using textual big data and GDP of various social network services (SNS), such as combining blogs and YouTube.
Keywords
article; CONCOR; editorial; forest policy; keywords;
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