• Title/Summary/Keyword: news analysis

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Comparative analysis of domestic news trends in Korean Medicine from 2018 to 2022 (한의약에 대한 국내 언론보도 경향 분석 : 2018년~2022년 뉴스 기사 비교)

  • Nayoon Jin;Youngseon Choi;Byungmook Lim
    • Journal of Society of Preventive Korean Medicine
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    • v.27 no.3
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    • pp.1-12
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    • 2023
  • Objectives : The aim of this study is to analyze the news articles related to Korean Medicine(KM) and compare trends in news reports from 2018 to 2022. Method : News articles related to KM were collected through the BigKinds, the news bigdata service of the Korea Press Foundation. News reports from 1 January 2018 to 31 December 2022 were searched. 2,950 news articles out of a total of 12,497 met the inclusion criteria. First, quantitative changes in media coverage were analyzed by year, media outlet, and month. For qualitative analysis, two authors independently coded the content of news articles, discussed them until consensus, and consulted with a third researcher to classify them. In addition, keywords extracted by the BigKind's Topic Rank algorithm were compared and analyzed in each year. Results : The number of news articles on KM decreased by 42% in 2022 compared to 2018. Over a fiveyear period, the Naeil Shinmun reported the most on KM among newspapers, while the Hankyoreh did the least. Among broadcasters, YTN reported the most and SBS did the least. When analyzing the reports by category, the most common was 'treatment', followed by 'prevention' and 'scientification'. As a result of extracting keywords with high weight and frequency, 'immunity' and 'immune system' ranked the first and second in 2018, while 'COVID 19' and 'medical law violation' did in 2022. Conclusion : The decrease in media reports on KM during the COVID-19 epidemic period seems to be due to the limited role of KM in responding to infectious diseases, and efforts to expand the scope of KM can induce increased media reports and social interest.

Text Mining-based Fake News Detection Using News And Social Media Data (뉴스와 소셜 데이터를 활용한 텍스트 기반 가짜 뉴스 탐지 방법론)

  • Hyun, Yoonjin;Kim, Namgyu
    • The Journal of Society for e-Business Studies
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    • v.23 no.4
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    • pp.19-39
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    • 2018
  • Recently, fake news has attracted worldwide attentions regardless of the fields. The Hyundai Research Institute estimated that the amount of fake news damage reached about 30.9 trillion won per year. The government is making efforts to develop artificial intelligence source technology to detect fake news such as holding "artificial intelligence R&D challenge" competition on the title of "searching for fake news." Fact checking services are also being provided in various private sector fields. Nevertheless, in academic fields, there are also many attempts have been conducted in detecting the fake news. Typically, there are different attempts in detecting fake news such as expert-based, collective intelligence-based, artificial intelligence-based, and semantic-based. However, the more accurate the fake news manipulation is, the more difficult it is to identify the authenticity of the news by analyzing the news itself. Furthermore, the accuracy of most fake news detection models tends to be overestimated. Therefore, in this study, we first propose a method to secure the fairness of false news detection model accuracy. Secondly, we propose a method to identify the authenticity of the news using the social data broadly generated by the reaction to the news as well as the contents of the news.

News Analysis of the Fukushima Accident: Lack of Information Disclosure, Radiation Fears and Accountability Issues

  • Lazic, Dragana
    • Journal of Contemporary Eastern Asia
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    • v.12 no.2
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    • pp.19-34
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    • 2013
  • Previous research assessed media reporting on nuclear accidents and risks, whilst studies about the Fukushima accident focused on the impact of the Internet on coverage of the incident. However, little research has addressed news framing or comparisons of the perceptions of journalists in relation to reporting nuclear accidents. The aim of this study is to apply framing analysis to news content in The New York Times, the Los Angeles Times, and USA Today about the Fukushima accident. It explores the question of how journalists view reporting on complex events. Content analysis of these three newspapers shows that conflict, responsibility, and economic consequences were the most frequently used frames. According to the journalists interviewed, the biggest problem was the inability to assess information due to contrary positions held by experts. It is argued that the Fukushima accident was framed as a conflict of experts and officials' opinions, utility and government officials' responsibility, and economic consequences for the United States. Adherence to professional norms of objectivity and impartiality was signified as the best approaches to risk reporting.

A Content Analysis on Editorials of The Apartment Management Newspapers for Effective Apartment Management (효율적인 아파트 관리를 위한 아파트관리 전문신문 사설 내용분석)

  • Kang, Hye-kyoung
    • Journal of Family Resource Management and Policy Review
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    • v.17 no.1
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    • pp.221-239
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    • 2013
  • To determine the problems with the apartment management system in Korea and to make recommendations for its development, a review and content analysis of the 2010 and 2011 editorials of two newspapers, The APT News and The Korea Apartment News, was conducted. Apartment management is divided into four areas: maintenance management, operations management, community management, and synthetic management. More than 50 percent of the editorials were concerned with the problems of operations management. There were two management subjects: the apartment manager and the apartment management company. Interest in the apartment management system varied between apartment managers and apartment management companies, so more positive policies and more interest are needed for apartment management.

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Analysis of Reputation Factors for the Personal Branding of Journalists in Thailand

  • Rodgunphai, Cholticha;Kheokao, Jantima
    • Asian Journal for Public Opinion Research
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    • v.8 no.4
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    • pp.453-477
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    • 2020
  • This research is a combination of qualitative and quantitative methods. It analyzed reputation factors for the personal branding of journalists in Thailand. Research tools were in-depth interviews and an online questionnaire with 33 variables. Eleven journalists and informed sources were interviewed. A total of 1,262 survey respondents were divided into three groups including 586 recipients, 416 news people, and 260 academics. Data were analyzed using content analysis and factor analysis. It was found that the reputation factors for the personal branding of journalists in Thailand consisted of 1) the professionalism in rich and reliable news reporting, 2) the ability to use communication technology that increases prominence and career opportunities 3) the social responsibility in reporting news events, 4) the key opinion leaders who speak up for people to monitor in the government for peace in society, and 5) the use of experience in developing news reporting capabilities.

Policy agenda proposals from text mining analysis of patents and news articles (특허 및 뉴스 기사 텍스트 마이닝을 활용한 정책의제 제안)

  • Lee, Sae-Mi;Hong, Soon-Goo
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.1-12
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    • 2020
  • The purpose of this study is to explore the trend of blockchain technology through analysis of patents and news articles using text mining, and to suggest the blockchain policy agenda by grasping social interests. For this purpose, 327 blockchain-related patent abstracts in Korea and 5,941 full-text online news articles were collected and preprocessed. 12 patent topics and 19 news topics were extracted with latent dirichlet allocation topic modeling. Analysis of patents showed that topics related to authentication and transaction accounted were largely predominant. Analysis of news articles showed that social interests are mainly concerned with cryptocurrency. Policy agendas were then derived for blockchain development. This study demonstrates the efficient and objective use of an automated technique for the analysis of large text documents. Additionally, specific policy agendas are proposed in this study which can inform future policy-making processes.

Effects of Anchors' Reputation and Brand Equity Evaluation of TV News Program on the Continuous Watching Intention : Focusing on KBS, JTBC, YTN TV News (TV 뉴스 프로그램의 앵커 평판과 브랜드 자산 평가가 지속적 시청 의도에 미치는 영향 : KBS, JTBC, YTN 뉴스를 중심으로)

  • Ha, Dong-Keun;Ahn, Seo-Jin
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.91-101
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    • 2018
  • This research verified the effects of anchors' reputation and brand equity evaluation of news on the continuous watching intention for general news channels such as KBS, JTBC, and YTN. Data collection was conducted on nationwide 539 adults who were watching news for each channel, and Hierarchical regression analysis was conducted to analyze the impact of the anchors' reputation and news brand equity evaluation factors. As a result, first, KBS showed continuous watching intention as viewers are men, their academic background is lower, they are more conservative, viewing frequency is higher, anchor awareness is higher, and news awareness and news preference are higher. Second, JTBC showed continuous watching intention as viewers are more advancing, viewing frequency is higher, anchor confidence, news awareness, and news preference, and evaluation on news quality are higher. Third, YTN showed continuous watching intention as their viewing frequency is higher, anchor confidence and anchor attraction are higher, news preference and evaluation on news quality are higher.

Research on the Composition and Diversity Changes of the Main News Programs' News Topic at the Initial Introduction of General Programming Cable Channels (종편 출범 초기의 지상파와 종편 메인뉴스의 주제 구성 및 다양성 변화에 대한 연구)

  • Yoo, Soojung
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.53-64
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    • 2018
  • This study analyzed contents of main news of 7 channels for 4 years during the initial period of introduction of the general programming cable channel(GPCC) in order to examine changes in subject composition and diversity of broadcasting news contents due to the introduction of GPCC. As a result of the analysis, terrestrial broadcasters treated a wide range of topics, while the GPCC's news focused on political news and differentiated from the terrestrial in the composition of the topic. In the composition of the news topic headline news, GPCC showed distinctive structure using political news and North Korea news, while terrestrial news was treated as major news for economic and daily information news. As a result of analyzing the diversity of broadcast news in the first four years of opening GPCC, it has changed into a strategy of selecting and concentrating in order to compete with the terrestrial broadcasters. In the initial broadcasting news market, the terrestrial broadcastings were used to maintain diversity strategies while the GPCCs were using concentrated strategies.

A Study on VR News - In Recognition of the VR News (VR 뉴스에 관한 연구 - VR 뉴스 인식을 중심으로)

  • Park, Jun Hyung;Yang, Jong Hoon
    • The Journal of the Korea Contents Association
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    • v.16 no.12
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    • pp.50-59
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    • 2016
  • VR refers to Virtual Reality technology that allows experiences of virtual contents as if they are real through visual, auditory and other senses. VR is even affecting the news. This greatly shakes the frame of the news. In other words, the conventional way of the new was to watch it with the passive action of seeing pictures, articles and images while VR News offers an active paradigm of experience and participation. This study analyzed the VR news of each press and investigated how VR news is developing. Furthermore, an experimental study was conducted to examine how users actually perceived the VR news. News made using both the existing method and the VR news method were comparatively shown to users who were following the news, and the interview was carried out through questionnaires. The results obtained through the statistics and analysis are as follows. Users made an assessment that they felt the sense of realism in recognition of the VR news while it was still lacking in terms of the unique information delivery that the news performs. However, the intention of using the VR news again was shown to be high, which demonstrated the expectation of users who have experienced the VR news.

Dynamics in Election News Making: An Exploratory Study (선거보도의 역동성에 대한 탐색적 연구)

  • Lee, Han Soo
    • Korean Journal of Legislative Studies
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    • v.27 no.3
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    • pp.155-188
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    • 2021
  • This study examines dynamics in election news making. It is important to understand when and how news media produce election news in order to grasp news making and voting behavior. The news media sometimes make election news by focusing on issues and policies. Often they frame elections as a game and focus on election strategies while covering elections. This article argues that as time goes by during the election period, the number of policy news tends to decrease while the frequency of strategic news is likely to increase. Also, TV's and newspapers show distinctive patterns of election news making. In order to examine the arguments, this study categorizes election news stories into policy and strategic news stories produced during the 2020 Korean congressional elections and constructs daily time-series data of them. The results of structural break and regression analyses partially support the arguments.