• Title/Summary/Keyword: 기사맥락

Search Result 43, Processing Time 0.024 seconds

Internet article's context and attention effects of the attitude toward advertising and corporate image (인터넷 기사의 맥락과 주목도가 광고태도와 기업이미지에 미치는 효과)

  • Kim, Eun-Hee;Yu, Seung-Yeob
    • Journal of Digital Convergence
    • /
    • v.10 no.4
    • /
    • pp.129-136
    • /
    • 2012
  • This study is presented on the corporate advertising strategy utilizing internet on corporate social responsibility in the context of the articles. To this end, Internet articles divided into positive and negative contexts, and has even attracted the attention of Internet articles and high /low and then separated into groups on ad attitudes and corporate image, the interaction effect was examined. Firstly, the Internet, a low level of condition of the article noted, in the context of a positive than a negative context, recall rates were higher. Second, the context of Internet articles and attention on the interaction effect between attitude toward advertising appeared. Third, the context of Internet articles and attention on the interaction effects between the corporate image appeared. Finally, the context of Internet articles and attention on competitive interactions between the corporate management was effective. Thus, the context of Internet articles based on the level of attention and context to determine the effect of advertising by consumer advertising awareness and favorable attitude toward corporate advertising and corporate image enhancement and competitiveness of business management can be an effective strategic plan suggests that.

The Context Effect of Web Contents and Advertising (웹사이트 콘텐츠와 광고의 맥락효과 검증)

  • Shin, Jong-Kuk
    • The Journal of the Korea Contents Association
    • /
    • v.9 no.11
    • /
    • pp.363-375
    • /
    • 2009
  • This study is to verify effects of banner advertising by context effect in web contents. For this, it analyzed the effects of banner advertising by association of internet article's contents, emotion, difficulty of article and the level of involvement. According to the result of experimental design, banner advertising effects by context effects of web contents were high in the following cases; in the case when the contents were highly associated with banner advertising; in the case when the positive emotions were formed by the internet article; in the case when the difficultly of article was low; and in the case when consumer's involvement was high. And also, when the contents were highly associated with the advertising, the content effects of web contents were high even in the case when the negative emotions were formed; in the case when the difficulty of article was high; and consumer's involvement was low.

A study of advertisement effect according to the context, news type, and advertisement type of social contribution activity article (사회공헌활동 기사 맥락과 뉴스형태 및 광고종류에 따른 광고효과)

  • Kim, Eun Hee;Yu, Seung Yeob
    • Journal of Digital Convergence
    • /
    • v.10 no.9
    • /
    • pp.253-262
    • /
    • 2012
  • This study tries to find the differences in attitude towards advertisement and corporate image according to the context of article in web contents, banner advertisement exposure and news type. The findings of this study are as follows. First, interaction effect between the context of Internet article on social contribution activity and attitude towards advertisement was confirmed. When the context of Internet article was negative, the news type that provides a photo with the article was more effective for the attitude towards advertisement. It is estimated that when a photo is provided with an Internet article for social contribution activity, the level of crowdedness increases and accordingly the negative context of the Internet article is cancelled out. Second, interaction effect between news type and advertisement type of social contribution activity article and attitude towards advertisement was confirmed. In the news type that provides a photo with an Internet article, corporate advertisement was more effective for attitude towards advertisement than product advertisement. Third, interaction effect between the news type of social contribution activity and corporate image according to advertisement type was confirmed. In the news type that provides a photo with an Internet article, product advertisement was more effective for corporate image than corporate advertisement.

Analyzing Different Contexts for Energy Terms through Text Mining of Online Science News Articles (온라인 과학 기사 텍스트 마이닝을 통해 분석한 에너지 용어 사용의 맥락)

  • Oh, Chi Yeong;Kang, Nam-Hwa
    • Journal of Science Education
    • /
    • v.45 no.3
    • /
    • pp.292-303
    • /
    • 2021
  • This study identifies the terms frequently used together with energy in online science news articles and topics of the news reports to find out how the term energy is used in everyday life and to draw implications for science curriculum and instruction about energy. A total of 2,171 online news articles in science category published by 11 major newspaper companies in Korea for one year from March 1, 2018 were selected by using energy as a search term. As a result of natural language processing, a total of 51,224 sentences consisting of 507,901 words were compiled for analysis. Using the R program, term frequency analysis, semantic network analysis, and structural topic modeling were performed. The results show that the terms with exceptionally high frequencies were technology, research, and development, which reflected the characteristics of news articles that report new findings. On the other hand, terms used more than once per two articles were industry-related terms (industry, product, system, production, market) and terms that were sufficiently expected as energy-related terms such as 'electricity' and 'environment.' Meanwhile, 'sun', 'heat', 'temperature', and 'power generation', which are frequently used in energy-related science classes, also appeared as terms belonging to the highest frequency. From a network analysis, two clusters were found including terms related to industry and technology and terms related to basic science and research. From the analysis of terms paired with energy, it was also found that terms related to the use of energy such as 'energy efficiency,' 'energy saving,' and 'energy consumption' were the most frequently used. Out of 16 topics found, four contexts of energy were drawn including 'high-tech industry,' 'industry,' 'basic science,' and 'environment and health.' The results suggest that the introduction of the concept of energy degradation as a starting point for energy classes can be effective. It also shows the need to introduce high-tech industries or the context of environment and health into energy learning.

Election Report Practices of Newspaper, Inclusive of the Utilization of Visual Images (신문의 선거 보도행태와 사진이미지 활용 -5대 중앙일간지의 19대 총선보도를 중심으로-)

  • Roh, Dong-Ryul
    • The Journal of the Korea Contents Association
    • /
    • v.12 no.8
    • /
    • pp.157-166
    • /
    • 2012
  • At the recent 19th General Election, Korean papers waged a surrogate war for the parties they share ideology with. All the conventional practices remained the same - the horse race-like presentations, furthering of confrontations, disregarding policy issues, allocating larger space for commentaries and negative issues, and etc. On top of these, papers began to focus on generational conflicts and individuals at the center of widespread attention and controversies, as a new trend. Photo images are largely used in the commentaries and articles dealing with confrontational or controversial situations. Of course, while the visual images seem to reinforce the emotional appeal of the messages papers try to get across, the potential problems need be noticed that could rise when irrelevant images are used.

Trend Analysis of News Articles Regarding Sungnyemun Gate using Text Mining (텍스트마이닝을 활용한 숭례문 관련 기사의 트렌드 분석)

  • Kim, Min-Jeong;Kim, Chul Joo
    • The Journal of the Korea Contents Association
    • /
    • v.17 no.3
    • /
    • pp.474-485
    • /
    • 2017
  • Sungnyemun Gate, Korea's National Treasure No.1, was destroyed by fire on February 10, 2008 and has been re-opened to the public again as of May 4, 2013 after a reconstruction work. Sungnyemun Gate become a national issue and draw public attention to be a major topic on news or research. In this research, text mining and association rule mining techniques were used on keyword of newspaper articles related to Sungnyemun Gate as a cultural heritage from 2002 to 2016 to find major keywords and keyword association rule. Next, we analyzed some typical and specific keywords that appear frequently and partially depending on before and after the fire and newpaper companies. Through this research, the trends and keywords of newspapers articles related to Sungnyemun Gate could be understood, and this research can be used as fundamental data about Sungnyemun Gate to information producer and consumer.

Comparison of News Frames between National Newspapers and Local Newspapers about Selecting a Site of National Project (국책사업입지선정 관련 중앙·지역신문 간 기사프레임 비교)

  • Lee, Seong-Neung
    • The Journal of the Korea Contents Association
    • /
    • v.11 no.8
    • /
    • pp.488-498
    • /
    • 2011
  • This study is an analysis of how national newspapers and local newspapers frame news contents over selecting of the site of International science-business belt. The results of analysis are as follows. First, in national newspapers, 'incompetent government frame' to criticize inconsistent policies and 'relapse prevention frame' were most commonly found. Second, newspapers in the region chosen as the site of an International Science-business belt and newspapers in the region not chosen showed a severe contrast in news frames. Most of news frames in the region chosen as the site of an International science-business belt were 'development frame' and 'performance frame'. On the other hand, newspapers in the region not chosen produced 'incompetent government frame' and 'protest frame' more than others. Finally, local newspapers in the area not related with the site of an International Science-business belt did not even deal with such an articles. These results show that to win large-scale national projects such as PIMFI facilities, local governments have been too much competitive and connected to a conflict.

Trend Analysis of the Technological Innovation Context in Korea using Network Analysis (한국 기술혁신 논의의 변화 양상 분석)

  • Lee, Juyoung;Jung, Hyojung
    • Proceedings of the Korea Technology Innovation Society Conference
    • /
    • 2017.11a
    • /
    • pp.591-608
    • /
    • 2017
  • 이 연구는 한국의 산업발전 과정에서 '기술혁신'이라는 개념이 어떻게 변화하며 사용되어 왔는지를 분석하고자 한다. 이를 위해 한국과학기술단체총연합회(이하 과총)의 기관지인 "과학과 기술" 기사에서 등장한 '기술혁신' 키워드를 중심으로 네트워크 분석을 실시하였다. "과학과 기술"은 1968년부터 지금까지 꾸준히 발간되었으며, 과학기술인 뿐만 아니라 정부부처 관계자 및 과학 분야 기자들을 대상으로 하기 때문에 한국 과학기술사회 전반의 동향을 파악하기 위한 사료로서 가치가 높다. 본 연구에서는 1968년 이후 "과학과 기술"에 실린 기사들 중 제목에 '기술혁신' 키워드가 포함된 모든 기사의 전문을 분석 대상으로 출판 이후부터 현재까지의 기간을 세 구간으로 나누어 '기술혁신'과 동시출현하는 키워드들의 변화 양상을 분석하였다. 이와 같은 분석을 통해서 이 연구는 다음과 같은 결과를 도출하였다. 첫째, 기술혁신 개념은 1970년대와 크게 다를 바 없이 지금까지도 여전히 국가 주도의 산업 발전을 위한 요소로 이해되고 있었다. 둘째, 그럼에도 불구하고 공업, 생산에 국한되어 있던 기술혁신 개념은 1980년대를 거치며 다양한 연구개발 분야 및 이해관계자들을 이어주는 키워드로 변화하였다. 본 연구는 키워드 네트워크 분석을 통해 한국 기술혁신 논의의 변화 양상을 제시하였다는데 의의가 있으며, 연구 결과는 향후 한국적 맥락을 기반으로 한 기술혁신정책의 방향성을 모색하는데 활용될 수 있을 것으로 기대된다.

  • PDF

Exploring 'Tradition' Terminology Trends based on Keyword Analysis (1920~2017) (키워드 분석 기반 '전통' 용어의 트렌드 분석 (1920~2017))

  • Kim, Min-Jeong;Kim, Chul Joo
    • The Journal of the Korea Contents Association
    • /
    • v.18 no.12
    • /
    • pp.421-431
    • /
    • 2018
  • The purpose of this study is to analyze the trends of 'traditional' terminology in Korea. We focus on an empirical investigation of how media reports are conveying 'tradition' terminology in our society by applying text mining and social network analysis techniques. The analysis covered 2,481,143 news articles related to 'tradition' terminology that appeared in the media since the 1920's. In this research, frequency analysis, association analysis and social network analysis were used on articles related to 'tradition' terminology from 1920 to 2017 by decade. By applying these data science techniques, we can grasp the meaning of social culture phenomenon related 'tradition' with objective and value-neutral position and understand the social symbolism which contains the tradition of the times.