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A news visualization based on an algorithm by journalistic values  

Park, Daemin (한국언론진흥재단)
Kim, Gi-Nam (아주대학교 라이프미디어협동과정)
Kang, Nam-Yong (아주대학교 정보컴퓨터공학과)
Suh, Bongwon (서울대학교 융합기술과학기술대학원 융합과학부)
Ha, Hyo-Ji (아주대학교 라이프미디어협동과정)
On, Byung-Won (군산대학교 통계컴퓨터과학과)
Publication Information
Journal of the HCI Society of Korea / v.9, no.2, 2014 , pp. 5-12 More about this Journal
Abstract
There was widespread criticism of the online news services due to their bias toward sensational and soft news. Thus, news services based on journalist values are socially requested. News source network analysis(NSNA), an algorithm to cluster and weight news sources, quotes, and articles, is suggested as a method to emphasize on journalist values like facts, variety, depth, and criticism in the previous study. This study suggests 'News Sources' as a visualization tool of NSNA. 'News Sources' shows news as bar graphs, weighted by facts and criticism, and arranged by organizations and subjects. This study designed a beta version using KINDS, a news archive of Korean Press Foundation.
Keywords
News Source; news source network analysis (NSNA); journalistic values; facts; variety; depth; criticism; KINDS;
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