• 한국콘텐츠학회논문지
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• 제14권2호
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• pp.161-171
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• 2014

이 연구는 출범 2년째를 맞는 종합편성채널의 채널 브랜드 구성요소의 특징과 편성전략에 따른 채널의 정체성 파악 및 브랜드 구조체계를 살펴보는 것을 목적으로 한다. 종편채널들은 다양한 채널브랜드 구성요소를 사용하여 콘텐츠를 시청자들에게 알리고 있으며, 채널A만 제외하고 JTBC, TV조선, MBN 등은 모기업을 연상시키는 채널명을 선정하였다. 종편채널의 편성 전략은 채널 아이덴티티와 밀접한 관련이 있다. TV조선은 시사 보도 프로그램에 주력하면서 '보수채널의 대변자'를 자임하고. 채널A도 2012년 대선 이후 보도, 시사프로그램을 집중 편성하는 보수편향 전략을 취하고 있다. JTBC는 드라마와 예능 프로그램을 집중 편성하여 지상파 방송에 준하는 편성을 하고 있으며, MBN은 보도, 시사와 교양 부문에 주력함으로써 기계적 중립 전략을 취하고 있다. 또한 브랜드 아키텍처(brand architecture)의 경우 TV조선과 MBN은 통합된 기업브랜드 전략을 추구하는 반면, JTBC처럼 기업과 개별브랜드를 잘 조합하는 혼합브랜드를 취하며 채널A는 '동아'라는 기업명을 사용하지 않고 개별브랜드를 적용하고 있다. 종편채널들은 모 기업의 역량이나 상황에 따라 기업브랜드, 혼합브랜드, 개별브랜드를 사용하고 있는 것으로 나타났다. 앞으로 종편방송사들이 보수 시청자층을 겨냥한 시사, 보도중심채널에서 벗어나 자사만의 특성화 전략을 통해서 확고한 채널 정체성을 구축할 필요가 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.211-218
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• 2023

Due to the implementation of COVID-19 distancing, interest and users in 'home training' are rapidly increasing. Therefore, the purpose of this study is to identify the perception of 'home training' through big data analysis on social media channels and provide basic data to related business sector. Social media channels collected big data from various news and social content provided on Naver and Google sites. Data for three years from March 22, 2020 were collected based on the time when COVID-19 distancing was implemented in Korea. The collected data included 4,000 Naver blogs, 2,673 news, 4,000 cafes, 3,989 knowledge IN, and 953 Google channel news. These data analyzed TF and TF-IDF through text mining, and through this, semantic network analysis was conducted on 70 keywords, big data analysis programs such as Textom and Ucinet were used for social big data analysis, and NetDraw was used for visualization. As a result of text mining analysis, 'home training' was found the most frequently in relation to TF with 4,045 times. The next order is 'exercise', 'Homt', 'house', 'apparatus', 'recommendation', and 'diet'. Regarding TF-IDF, the main keywords are 'exercise', 'apparatus', 'home', 'house', 'diet', 'recommendation', and 'mat'. Based on these results, 70 keywords with high frequency were extracted, and then semantic indicators and centrality analysis were conducted. Finally, through CONCOR analysis, it was clustered into 'purchase cluster', 'equipment cluster', 'diet cluster', and 'execute method cluster'. For the results of these four clusters, basic data on the 'home training' business sector were presented based on consumers' main perception of 'home training' and analysis of the meaning network.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.164-172
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• 2023

In this study, we identify the recognition of 'The First Slam Dunk', which is gaining popularity as a sports-based cartoon through big data analysis of social media channels, and provide basic data for the development and development of various contents in the sports industry. Social media channels collected detailed social big data from news provided on Naver and Google sites. Data were collected from January 1, 2023 to February 15, 2023, referring to the release date of 'The First Slam Dunk' in Korea. The collected data were 2,106 Naver news data, and 1,019 Google news data were collected. TF and TF-IDF were analyzed through text mining for these data. Through this, semantic network analysis was conducted for 60 keywords. Big data analysis programs such as Textom and UCINET were used for social big data analysis, and NetDraw was used for visualization. As a result of the study, the keyword with the high frequency in relation to the subject in consideration of TF and TF-IDF appeared 4,079 times as 'The First Slam Dunk' was the keyword with the high frequency among the frequent keywords. Next are 'Slam Dunk', 'Movie', 'Premiere', 'Animation', 'Audience', and 'Box-Office'. Based on these results, 60 high-frequency appearing keywords were extracted. After that, semantic metrics and centrality analysis were conducted. Finally, a total of 6 clusters(competing movie, cartoon, passion, premiere, attention, Box-Office) were formed through CONCOR analysis. Based on this analysis of the semantic network of 'The First Slam Dunk', basic data on the development plan of sports content were provided.

• 문화기술의 융합
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• 제8권4호
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• pp.435-444
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• 2022

이 논문의 주요 관심사는 세 가지이다. 첫째, 유튜브 이용자가 제20대 대통령선거의 주요 의제이자 후보자 선택의 기준인 '대장동 개발 사업' 콘텐츠를 어떤 채널을 통해 시청했는지 확인했다. 둘째, 연이어 '대장동 개발 사업' 동영상을 시청했을 때 후속 동영상의 정치적 논조가 최초 시청 동영상의 정치적 논조와 일치하는지 비교했다. 셋째, 최초 동영상과 후속 시청 동영상에 달린 댓글에 담긴 정서 유인가를 살폈다. 네트워크 분석과 내용분석 결과에 따르면 '김어준의 뉴스공장'과 'TV조선 뉴스'가 진보와 보수를 대표하는 채널이었다. 그리고 연이어 시청한 후속 채널의 정치적 성향은 진보와 보수 채널 이용자 모두 중립의 비율이 가장 높았다. 둘째, 보수 채널 이용자의 75.9%, 그리고 진보 채널 이용자의 18.5%가 동일한 논조의 후속 동영상에 댓글을 남겼다. 셋째, 진보와 보수 채널 이용자의 약 80%가 최초 시청 동영상에 남긴 댓글의 정서는 이용 채널의 정치적 성향과 일치했고, 동일한 논조의 후속 동영상을 연이어 시청했을 때도 남겨진 댓글의 90% 이상이 이용 채널의 정치적 성향과 일치했다. 연구자들은 유튜브 정치 정보 이용의 부정적 영향을 최소화하는 방안으로 뉴스 채널의 고품질 저널리즘 실천을 제안한다.

• Asia pacific journal of information systems
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• 제24권2호
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• pp.191-210
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• 2014

As mobile devices that can be connected to the Internet have spread and networking has become possible whenever/wherever, the Internet has become central in the dissemination and consumption of news. Accordingly, the ways news is gathered, disseminated, and consumed have changed greatly. In the traditional news media such as magazines and newspapers, expert editors determined what events were worthy of deploying their staffs or freelancers to cover and what stories from newswires or other sources would be printed. Furthermore, they determined how these stories would be displayed in their publications in terms of page placement, space allocation, type sizes, photographs, and other graphic elements. In turn, readers-news consumers-judged the importance of news not only by its subject and content, but also through subsidiary information such as its location and how it was displayed. Their judgments reflected their acceptance of an assumption that these expert editors had the knowledge and ability not only to serve as gatekeepers in determining what news was valuable and important but also how to rank its value and importance. As such, news assembled, dispensed, and consumed in this manner can be said to be expert-based recommended news. However, in the era of Internet news, the role of expert editors as gatekeepers has been greatly diminished. Many Internet news sites offer a huge volume of news on diverse topics from many media companies, thereby eliminating in many cases the gatekeeper role of expert editors. One result has been to turn news users from passive receptacles into activists who search for news that reflects their interests or tastes. To solve the problem of an overload of information and enhance the efficiency of news users' searches, Internet news sites have introduced numerous recommendation techniques. Recommendations based on popularity constitute one of the most frequently used of these techniques. This popularity-based approach shows a list of those news items that have been read and shared by many people, based on users' behavior such as clicks, evaluations, and sharing. "most-viewed list," "most-replied list," and "real-time issue" found on news sites belong to this system. Given that collective intelligence serves as the premise of these popularity-based recommendations, popularity-based news recommendations would be considered highly important because stories that have been read and shared by many people are presumably more likely to be better than those preferred by only a few people. However, these recommendations may reflect a popularity bias because stories judged likely to be more popular have been placed where they will be most noticeable. As a result, such stories are more likely to be continuously exposed and included in popularity-based recommended news lists. Popular news stories cannot be said to be necessarily those that are most important to readers. Given that many people use popularity-based recommended news and that the popularity-based recommendation approach greatly affects patterns of news use, a review of whether popularity-based news recommendations actually reflect important news can be said to be an indispensable procedure. Therefore, in this study, popularity-based news recommendations of an Internet news portal was compared with top placements of news in printed newspapers, and news users' judgments of which stories were personally and socially important were analyzed. The study was conducted in two stages. In the first stage, content analyses were used to compare the content of the popularity-based news recommendations of an Internet news site with those of the expert-based news recommendations of printed newspapers. Five days of news stories were collected. "most-viewed list" of the Naver portal site were used as the popularity-based recommendations; the expert-based recommendations were represented by the top pieces of news from five major daily newspapers-the Chosun Ilbo, the JoongAng Ilbo, the Dong-A Daily News, the Hankyoreh Shinmun, and the Kyunghyang Shinmun. In the second stage, along with the news stories collected in the first stage, some Internet news stories and some news stories from printed newspapers that the Internet and the newspapers did not have in common were randomly extracted and used in online questionnaire surveys that asked the importance of these selected news stories. According to our analysis, only 10.81% of the popularity-based news recommendations were similar in content with the expert-based news judgments. Therefore, the content of popularity-based news recommendations appears to be quite different from the content of expert-based recommendations. The differences in importance between these two groups of news stories were analyzed, and the results indicated that whereas the two groups did not differ significantly in their recommendations of stories of personal importance, the expert-based recommendations ranked higher in social importance. This study has importance for theory in its examination of popularity-based news recommendations from the two theoretical viewpoints of collective intelligence and popularity bias and by its use of both qualitative (content analysis) and quantitative methods (questionnaires). It also sheds light on the differences in the role of media channels that fulfill an agenda-setting function and Internet news sites that treat news from the viewpoint of markets.

• 유통과학연구
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• 제16권5호
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• pp.61-70
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• 2018

Purpose - These days, an individual user, private entity, hears everyday news of hacking and personal information leakage in the era of a most-connected society. This study investigates cyber attack, cyber insurance and distribution channels for insurance goods in South Korea by analyzing various cases of cyber attacks in domestic and overseas case. Research design, data and methodology - This study adopted various study cases instead of the one large case for deep quality analysis, and focused on various cases of domestic and overseas cyber attacks with insurance. Result - As a result of analyzing the cases that were hacked, types of massive losses and damages arising out of internet blackout due to cyber risks are paralyzation of public and private website and portal, electronic administrative system, public infrastructure, and consequently a normal operation of nation is impossible. These losses and damages however can be coverable under cyber insurance. Conclusions - This paper suggests insurance carriers, as suppliers, should provide multiple channels to sell to the customer and should expand the strategy of advertisement and promotion in order for them to change their mind and compare the price and value of the information of individual users and private entity in view of cost savings.

• 한국의류산업학회지
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• 제16권5호
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• pp.730-744
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• 2014

With advances in QR code, mobile is becoming one of important channels in the fashion retail industries. This study attempts to understand the importance of QR code utilization in creating multi-channel business model. Study objectives are to classify types of multi-channel retailing by QR code utilization and to explore the role of QR code technology in strategic marketing elements for types of multichannel retailer. As an exploratory approach, a total of 78 news articles regarding QR code issues were reviewed and analyzed by focusing on 48retailers seleted in this study. The results found seven dimensions of QR code marketing strategies: abundant product information, additional information contents, transaction accessibility, connectedness to channels, location based service, loyalty program and multimedia advertising. Based a combination of channels and level of mobile apps' activation, multichannel retailers utilizing QR code technology were classified into four types; bricks-click-active mobile model, bricks-click-inactive mobile model, bricks-click model, and click-active mobile model. There were differences of using QR code marketing strategies among multichannel models. According to results, for bricks-and-mortar retailers, QR code was critical to integrate shopping experience with merchandise or sales promotions across channels. In addition, for non-store retailers, the QR code utilization was successful in expanding mobile channels, which can promote retail sales by a two-way interaction with customers via the mobile apps.

• 한국실내디자인학회논문집
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• 제24권1호
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• pp.197-206
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• 2015

The purpose of this study is to analyze characteristic interior spaces for TV news center studio. Based on eight channels including public and comprehensive programming broadcasting stations the method for this research is to make differentiate existing relevant literature by creating analysis items for interior spaces through various case studies as well as find out characteristics of spatial forms, colors, materials, decorations, and etc. The conclusions are as follows. Firstly, spatial form of desk and ceiling are similar shapes but floor and wall are different comparing with public and comprehensive programming broadcasting stations. Secondly, preferred color for floor and ceiling is black, for wall and desk are blue and gray. Thirdly, various materials are preferred between public and comprehensive programming broadcasting stations. Fourthly, Flat and elevated floors are preferred as well as space and logos of broadcasting station are preferred for background images as decoration elements. Lastly, Soffit ceiling, desk accommodating more than 4 people, spotlight for public broadcasting stations, and architectural lighting for comprehensive programming broadcasting stations are preferred.

• 스마트미디어저널
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• 제6권1호
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• pp.47-53
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• 2017

사회적 이슈는 정책의 방향을 결정하는 중요한 요인이며, 신문은 사회적 이슈를 반영하는 중요한 채널이다. 신문기사의 텍스트를 분석하는 것은 사회적 이슈를 이해하는 데 기여할 수 있지만, 대규모의 비정형 데이터인 뉴스를 수작업으로 분석하는 것은 매우 어렵다. 따라서 본 연구는 텍스트 분석기법과 연관분석 기법을 활용해 비정형 신문기사 내용을 정형화하여 사회적 이슈의 이해관계자들 간 관점 차이를 시스템적으로 분석하는 것을 목적으로 한다. 본 연구 수행을 위해 각 지역을 대표하는 신문사(조선일보, 중앙일보, 동아일보, 매일신문, 부산일보)를 선정한 후 기사 115건과 댓글 6,772건을 2주간 수집하여 분석하였다. 연구 결과 전국 일간지들은 해당 지역과 정치적인 관계에 초점을 맞춘 반면에, 지역 일간지들은 속해 있는 지자체를 대변하는 논조로 기사가 작성된 측면이 강하게 나타났다.

• 인터넷정보학회논문지
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• 제12권1호
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• pp.39-53
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• 2011

최근 정부의 미디어 관련법 개정으로 국내 미디어 산업 환경 및 산업 구조에 급격한 변화가 일어나고 있다. 특히 종합편성 채널의 도입 결정은 기존 전통적인 미디어 사업자와 종합편성채널 사업 진입에 가능성이 있는 국내 기업, 콘텐츠 사업자 등에 직 간접적인 영향을 미칠 것으로 예상된다. 따라서 본 연구에서는 국내 종합편성채널 사업자의 경쟁 방안에 관한 초기 연구로 써 Scenario Network Mapping 방법론을 통해 산업의 변화와 사업자의 경쟁방안을 분석하였다. 연구 결과 신규 사업의 경쟁력 확보, 정부의 정책적 지원, 콘텐츠 차별화 성공이 사업 정착의 주요 성공 요인으로, 장기적인 관점에서는 정책적 지원보다는 사업자의 자체 경쟁력이 더욱 중요하게 나타났다. 본 연구는 종합편성채널 사업 도입에 따른 이슈 분석 및 경쟁방안에 관한 초기 연구로 사업 진입을 고려하는 사업자와 정부에게 종합편성채널에 관한 이해를 돕고 전략 방향 설정 등에 유용한 시사점을 제공한다.