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http://dx.doi.org/10.5351/KJAS.2021.34.1.057

Statistical analysis of mobile internet news users' attributes affecting on opinion formation for social major issues  

Kim, Jaehee (Department of Statistics, Duksung Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.34, no.1, 2021 , pp. 57-74 More about this Journal
Abstract
The proliferation of smart devices (such as smart phones and tablet PCs) has led to a marked increase in the use of mobile-based internet. As a result, the influence of the mobile internet has become important to make opinions on social issues. This study explores the effects of mobile internet news users' characteristics on formation of opinions about major political, economic and social issues. We used the data from the media audience awareness survey by the Korean Press Foundation in 2016 and 2017 in this analysis. The characteristics of the news users are gender, age, education, income, news usage days, news usage hours, media application usage days, news gathering application usage days, portal usage days, and media official website usage days. These characteristics are known as possible explanatory variables for the mobile internet news users. Multiple logistic regressions were done with interpretation to know which covariates affect on formation of major opinion.
Keywords
audience survey of Korea Press Foundation; audience attribute; internet news; logistic regression; mobile internet;
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