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http://dx.doi.org/10.9728/dcs.2018.19.8.1489

Analyzing the Characteristics of Online News Best Comments  

Kim, Jin Woo (Graduate School of Information, Yonsei University)
Jo, Hye In (Graduate School of Information, Yonsei University)
Lee, Bong Gyou (Graduate School of Information, Yonsei University)
Publication Information
Journal of Digital Contents Society / v.19, no.8, 2018 , pp. 1489-1497 More about this Journal
Abstract
The importance of comments is constantly growing as a participation of individual in Online News that being invigorated. The 'Best Comments', which strongly related by major participants are recognized as a primary public opinion, and obtains the power. Thus this study is aimed to analyze the characteristics of the 'Best Comments' by utilizing the data of comments on Online News. For this study, a possible element that may reveal the difference between 'general' comments and 'best' comments were set up, digitalized the data, and examined the difference between 'general' and 'best' comments. This study is expected to provide a clue for the problematic issues, such as 'online comment rigged scandal' in recent; also as a basic data that subjected by the individual, academic society, government, and etc.
Keywords
Online News; Comments; Best Comments; Content Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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