• Title/Summary/Keyword: 신문광고

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A NIE Platform for Effective High-school Social Study (효과적인 고등학교 사회과 교육을 위한 온라인 NIE 플랫폼)

  • Lee, Jinhee;Jung, Guenseong;Cha, Jaehyuk
    • Annual Conference of KIPS
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    • 2015.10a
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    • pp.1644-1647
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    • 2015
  • 신문을 활용하는 교육 방식을 NIE(Newspaper in Education)라고 한다. 매일 새로운 정보가 실리는 신문을 활용함으로써 교육적인 효과를 볼 수 있다. 신문 활용의 교육적인 장점으로 고등학교 사회과 수업에서 신문은 읽기 형태의 교재로 쓰이고 있다. 그런데 최근 인터넷의 발전으로 NIE활동에 온라인 신문의 활용이 늘고 있다. 하지만 온라인 신문을 교육에 활용하는 데는 몇 가지 문제점이 있다. 첫째, 신문을 직접 수집하는 자체의 번거로움. 둘째, 온라인에서 제공되는 신문에는 광고와 같은 노이즈에 노출이다. 마지막으로 인터넷 특성상 신뢰성이 낮은 정보가 많다는 점이다. 이러한 문제점을 해결하기 위해 본 논문은 온라인 신문기사를 문서형태로 수집하고 제공하는 시스템을 구현했다. 수집 시스템에 의해 저장된 기사는 구성주의 학습을 위한 온라인 토론학습 활동을 위해 쓰인다. 따라서 본 연구는 고등학교 사회과 NIE활동에 양질의 기사 정보를 제공하고 편리함을 주어 학습효과를 높이기 위한 시스템의 구현을 목표로 했다.

Moderating Effect on Transportation Between Short Storytelling ad types and Message Sensation Value: Focusing on TikTok & Chinese consumers (짧은 동영상 광고 스토리텔링 유형과 메시지자극가(MSV)가 스토리몰입에 미치는 영향연구 - 틱톡(TikTok) 중국소비자를 대상으로)

  • CHEN, KAKA;Kim, Jung Kyu
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.659-665
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    • 2021
  • Short video applications (e.g., TikTok, YouTube shorts) are growing quickly in terms of active users and usage time. Of course, advertising industry is utilizing the app as AD channel. The current study, however, argues that the effectiveness of ADs in short video apps are not articulated well and that precise research for measuring the effect is required. In this context, this study measured the effects of storytelling ad types(reality, parody, creative) and message sensation value(high vs. low level) on story transportation. The notable finding is that when creative storytelling ad type which requires more cognitive resources than other two types meets high level of message sensation value, ad viewers could reach cognitive overload state which induced low effectiveness of ad. As its result, the effectiveness of AD reduced. More specific theoretical discussion and suggestions for advertising producers are described.

기생충 약을 말한다

  • So, Jin-Tak;Ju, Jeong-Gyun;Jo, Gi-Mok;Jo, Seung-Ryeol
    • 건강소식
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    • v.3 no.8 s.23
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    • pp.12-23
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    • 1975
  • 약은 약답게 먹어야 약이다. 잘못 먹으면 위해가 될 수도 있고, 독약이 될 수도 있고, 때로는 맹물이 될 수도 있다. 특히 기생충 약은 남용의 경향이 있다. 검변도 없이 신문광고를 보고 맘대로 선택, 투약 하는 것- 여기에는 아무런 문제가 없을가

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A Study on characteristics of movies in the 1930s (영화광고로 본 1930년대 영화연구 -『매일신보』와 『동아일보』 영화광고의 비교-)

  • Eo, Il-Seon
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.130-136
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    • 2011
  • This study analyzed and compared Dong-a Il-bo, a new material, based on the result of analysis of movie commercials on Mae-il Shin-bo from the previous study. Although we could not analyze precisely them in regard to their form, there are differences between them in terms of where they show movie commercials and how large their movie commercials are. However, in terms of the content, the characteristics of movies in the 1930s correspond with the result of the study that analyzed Mae-Il Shin-Bo. As Mae-Il Shin-Bo was actually a organ of the Japanese Government-General of Korea, and Dong-A Il-Bo was a representative of private newspapers, our comparative study actually covered almost all materials on the movies of the 1930s, considering repeating movie commercials. Based on the results of this study, we can learn more precisely the characteristics of the movies in the 1930s.

The Study on a Business Model that Respect the Responsibility of Journalism as Well as Business Profit: Based on Incumbent Senior Reporters (신문기업이 저널리즘의 정체성을 견지하며 수행할 수 있는 수익사업에 관한 연구: 현직 언론사 간부기자들의 인식을 중심으로)

  • Kim, Jin-Kuk;Kim, Young-Hwan
    • Korean journal of communication and information
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    • v.59
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    • pp.162-179
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    • 2012
  • The purpose of this study is to find a way to revive newspaper industry against digital new media revolution such as the internet, SNS(Social Network Service). To this end, indepth-interviews were conducted with the target incumbent senior reporters. The research areas are consisted of four subjects. For instance Awareness about the newspaper business crisis, the need for profitable business, potential conflicts of journalism and business, and desirable business. As a result of my research, executive reporters said that There is no management strategy Against the rapid expansion of social media and Therefore Business diversification is required. In short, They said that alternative business model should be developed, in which public and business interest are commonly respected, such as Information & Culture (internet, broadcasting, film, game, music), play, exhibition, publishing, and education.

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Analyzing the Trend of False·Exaggerated Advertisement Keywords Using Text-mining Methodology (1990-2019) (텍스트마이닝 기법을 활용한 허위·과장광고 관련 기사의 트렌드 분석(1990-2019))

  • Kim, Do-Hee;Kim, Min-Jeong
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.38-49
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    • 2021
  • This study analyzed the trend of the term 'false and exaggerated advertisement' in 5,141 newspaper articles from 1990 to 2019 using text mining methodology. First of all, we identified the most frequent keywords of false and exaggerated advertisements through frequency analysis for all newspaper articles, and understood the context between the extracted keywords. Next, to examine how false and exaggerated advertisements have changed, the frequency analysis was performed by separating articles by 10 years, and the tendency of the keyword that became an issue was identified by comparing the number of academic papers on the subject of the highest keywords of each year. Finally, we identified trends in false and exaggerated advertisements based on the detailed keywords in the topic using the topic modeling. In our results, it was confirmed that the topic that became an issue at a specific time was extracted as the frequent keywords, and the keyword trends by period changed in connection with social and environmental factors. This study is meaningful in helping consumers spend wisely by cultivating background knowledge about unfair advertising. Furthermore, it is expected that the core keyword extraction will provide the true purpose of advertising and deliver its implications to companies and related employees who commit misconduct.

A Discrimination System Model of Harmful Contents using Collective Intelligence and Collective Emotions (집단지성 및 집단감성을 활용한 유해 콘텐츠 판별 시스템 모델)

  • Yoon, Mi-Sun;Kim, Bo-Ra;Kim, Myuhng-Joo;Moon, Young-Bin
    • The Journal of Korean Association of Computer Education
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    • v.15 no.2
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    • pp.37-45
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    • 2012
  • The case of South Korea's Internet newspapers, harmful advertising is illegal but rampant. The children and youth are not protected, so effective measures are urgently required. Therefore, to achieve self-regulation, a discrimination system model using collective intelligence and collective emotions is proposed. This study is to suggest a Discrimination System Model of harmful contents using collective intelligence and collective emotions as the actual program of self-regulation. The Discrimination System model forms the level of harmful contents by using contents, form, text, size as well as the implied and reminiscent story of image as discriminant factors of a group testing. The formed level is established for harmful contents discriminant criteria after going through the process of generalization again. It can be not clear and ambiguous for internet newspaper banner ads to be measure the level of harmfulness. This Discrimination System will have the strengths of resolving this problem.

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Research on analysis of articleable advertisements and design of extraction method for articleable advertisements using deep learning

  • Seoksoo Kim;Jae-Young Jung
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.13-22
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    • 2024
  • There is a need for and positive aspects of article-based advertising, but as exaggerated and disguised information is delivered due to some indiscriminate 'article-based advertisements', readers have difficulty distinguishing between general articles and article-based advertisements, leading to a lot of misinterpretation and confusion of information. is doing Since readers will continue to acquire new information and apply this information at the right time and place to bring a lot of value, it is judged to be even more important to distinguish between accurate general articles and article-like advertisements. Therefore, as differentiated information between general articles and article-like advertisements is needed, as part of this, for readers who have difficulty identifying accurate information due to such indiscriminate article-like advertisements in Internet newspapers, this paper introduces IT and AI technologies. We attempted to present a method that can be solved in terms of a system that incorporates, and this method was designed to extract articleable advertisements using a knowledge-based natural language processing method that finds and refines advertising keywords and deep learning technology.