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The Correlation between Online Comments before Broadcasting and Television Content Viewers’ Behavior Pattern

Title
The Correlation between Online Comments before Broadcasting and Television Content Viewers’ Behavior Pattern
Author
안종창
Keywords
comments and reactions; television (TV) viewers; willingness to watch; TV ratings; anchoring effect
Issue Date
2019-02
Publisher
KSII-KOR SOC INTERNET INFORMATION
Citation
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v. 13, no. 6, page. 3023-3036
Abstract
This study investigated the television (TV) content viewers’ behavior influenced by online communication at the choice of new TV series on a terrestrial streaming platform. For exploring the impact of the anchoring effect on the TV content consumption, this study analyzed the correlation between the first episode’s TV ratings and the data of online comments or reactions. These data were potential audiences’ communication, which were generated on the online article three weeks before the first broadcasting began. To avoid the crucial influence by external factors, such as season and social issue, the test was done with eight (8) TV series which have same genre (drama), similar core audience targeting (20-49’s women), similar broadcasting period (Jun-Oct 2016), same scheduling (10.00 to 11.00 pm, weekdays) and aired on terrestrial TV platforms. This research found that not only the amount of comments and reactions, but also the attitude about the comments created before broadcasting, positively influence the audiences’ decision-making behavior for new TV content choices. This investigation contributes to the literature on media economics and management by exploring the media content users’ consuming behavior with behavioral economics perspectives (anchoring effect) and making a first step for finding a new effect on the media content consumption.
URI
http://itiis.org/digital-library/22128https://repository.hanyang.ac.kr/handle/20.500.11754/160966
ISSN
1976-7277
DOI
10.3837/tiis.2019.06.014
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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