빅데이터 관련 사례 및 연구 | Cases and Studies on Big Data | 大数据的研究和最佳实践
- date : 2018-01-14 22:45|hit : 4967
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- Study] Study on Media Frame of News in Politics, Culture and Economy with Big Data Analysis
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Study on Media Frame of News in Politics, Culture and Econom with Big Data AnalysisGunWoo Kim, itproanalysis@gmail.com, Bachelor of Political Science and Diplomacy, Myongji University, Thejoeun IT AcademySukJoon Ahn, analyst1121@gmail.com, Master of Business Administration, Inha University, Thejoeun IT Academy(Corresponding author) hyejung.moon@gmail.com Ph D. of Public Policy, Adjunct ProfessorIn 2017, the Republic of Korea is undergoing a democratic change ofgovernment. And series of events since 2016 has brought changes in society,politics, economy and culture. This study focuses on the timing of these changesand analyzes the words used in the media from 2015 to June 2017, which showsthe change of keywords and related words in the category, in order to analyzethe frame change of periodical media. The research was conducted according toAtteveldt(2008)'s methodology, semantic network analysis, network analysis andemotional analysis. The data collection tool for keyword selection was the WebCrawler implemented by the researcher directly in Python and Extracted about1.8 million cases from Daum news. Nine kinds of keywords were selected fromCrawling data. The keyword was 'Activity', 'Festival', 'Youth', 'Industry', 'Growth','Market', 'Power', 'Jaein, Moon', 'Impeachment'. By next step, the researcheranalyzed 1.6 million articles (title, media, press, news) linked from 2015 to 2017enlisted on BigKinds, a news platform run by the Korea Press Foundation, basedon selected keywords above. One of the example of analysis is 'Impeachment'keyword. Negative expression about 'Impeachment' increased by 4.7% in 2017compared to 2016, suggesting that the frame of the press recently became morefree to express negative emotions in 2017. This study was conducted in a shortperiod of time until June 2017, and if further research is conducted onlong-term, more depth analysis could be achieved.Key words: big data, semantic network analysis, network analysis, media frame,media
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