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A Big Data Study on Viewers’ Response and Success Factors in the D2C Era Focused on tvN’s Web-real Variety ‘SinSeoYuGi’ and Naver TV Cast Programming
The first D2C-era web-real variety show in Korea was broadcast via tvN of CJ E&M. The web-real variety program ‘SinSeoYuGi’ accumulated 54 million views, along with 50 million views at the Chinese portal site QQ. This study carries out an analysis using text mining that extracts portal site blog...
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Published in: | International journal of advanced culture technology (Online) 2016, 4(2), , pp.7-18 |
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container_title | International journal of advanced culture technology (Online) |
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creator | 오세종 안성훈 변정민 |
description | The first D2C-era web-real variety show in Korea was broadcast via tvN of CJ E&M. The web-real variety program ‘SinSeoYuGi’ accumulated 54 million views, along with 50 million views at the Chinese portal site QQ. This study carries out an analysis using text mining that extracts portal site blogs, twitter page views and associative terms. In addition, this study derives viewers' response by extracting key words with opinion mining techniques that divide positive words, neutral words and negative words through customer sentiment analysis. It is found that the success factors of the web-real variety were reduced in appearance fees and production cost, harmony between actual cast members and scenario characters, mobile TV programing, and pre-roll advertising. It is expected that web-real variety broadcasting will increase in value as web contents in the future, and be established as a new genre with the job of ‘technical marketer’ growing as well. KCI Citation Count: 5 |
doi_str_mv | 10.17703/IJACT.2016.4.2.7 |
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subjects | 과학기술학 |
title | A Big Data Study on Viewers’ Response and Success Factors in the D2C Era Focused on tvN’s Web-real Variety ‘SinSeoYuGi’ and Naver TV Cast Programming |
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