• Title, Summary, Keyword: 웹드라마

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The Fandom Effect on the Success of Web-drama in Korea: Mediation Effect of the Number of People Registered in the Channel (원작의 유무와 아이돌 출연이 웹드라마 흥행에 미치는 영향: 채널구독자수의 매개효과를 중심으로)

  • Kim, Sunky;Yu, Gun Jea
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.240-254
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    • 2018
  • This study investigated the antecedents of web-drama success as the interests on web-drama is increasing. We focused on the factors which help web-drama success because current studies on web-drama has focused on the description of market. We examined the effect of fandom on the success of web-drama using the data of constv site which provided with the rank (1-100) of web-drama between February 1st and March 1st in 2016. We found that the fandom had a positive effect on the success of web drama. In addition, we also found that the number of people registered in web-drama channel mediated the relationship between the fandom and the success of web-drama. This study contributed to the current literature by revealing the factors which enable the success of web-drama.

A Study on the Effect of Web Drama PPL Advertising -Focus on Actor Awareness and Perceived Fit (웹드라마 PPL 효과에 관한 연구 -웹드라마와 브랜드의 지각된 적합성과 배우 인지도와의 상호작용 효과를 중심으로)

  • Bae, Kyung Yoon;Han, Eun-Kyoung
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.411-418
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    • 2020
  • The purpose of this study was to examine the influence of actor awareness on advertising effect, and to find out whether there is a moderation effect between actor awareness and perceived fit of PPL brand and drama. For this purpose, this research conducted an experimental study through the treatments. A total of 452 participants attended to the experimental study and responded to the questionnaire. As a result, the awareness of the actor did not affect the ad attitude, but it influenced the brand attitude significantly. The perceived fit between PPL brand and drama influenced both the ad attitude and brand attitude significantly. The interaction of actor awareness and perceived fit was significant in ad attitude but not in brand attitude. In addition, purchase intention increased as the attitude toward ad and brand was positive. The purpose of this study is to contribute to establishing a PPL profit strategy for web dramas by examining the relationship between actor awareness and advertising effects, and the moderating effect of perceived fit between PPL brand and drama.

Webdrama Analysis and Recommendation using Text Mining and Opinion Mining Technique of Social Media (소셜미디어 빅데이터의 텍스트 마이닝과 오피니언 마이닝 기법을 활용한 웹드라마 분석과 제안)

  • Oh, Se-Jong;Kim, Kenneth Chi Ho
    • Cartoon and Animation Studies
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    • pp.285-306
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    • 2016
  • With the increase use of smartphones, users can consume contents such as webtoon, webnovel and TV drama directly provided by the producers. In this Direct-to-Consumer era, webdrama services from the portal websites are increasing rapidly. Webdramas such as , , and can be analyzed in real time using responses such as unique users, likes, and comments. The analyses used in this research were Social Media Big Data Mining Method and Opinion Mining Method. Specific key words from webdrama can be extracted and viewers positive, neutral or negative emotion can be predicted from the words. The analyses of popular webdramas showed that the established K-Pop Idol member appearance and servicing portal site greatly influence the views, traffics, comments, and likes. Also, 'Mobile TV' proved the effectiveness as another platform other than television. Mobile targeted contents and robust business models still to be developed and identified. Overcoming these few tasks, Korea will be proven to be a webdrama content powerhouse.

Analysis of Love Narratives and Discourse of Web Drama : Focusing on the Web Drama (웹 드라마의 연애 서사와 담론 분석 : <연애 플레이 리스트> 중심으로)

  • Tae, Bo-Ra
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.64-76
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    • 2020
  • This research wanted to examine what narratives and discourse were being formed in web drama contents young generations were going crazy about. To understand the characteristics of such love epics and to know what narratives were being formed based on narrative structures and comments, this research specifically used the web drama produced up to the season 4 for the first time in Korean web drama history with a large number of accumulated views. It was found that the narratives of the drama composed the romantic relationships of four couples as independent episodes, and realistically highlighted separations and reunions of those couples, and suggested concrete methods to solve agonies and conflicts they would experience in such relationships. And, in user comments, there emerged relational narratives confusing friendship and love between partners of opposite sex, narratives regarding the third person as enemy, and narratives on typical sex roles in such romantic relations. And, the culture seeking subjective love style and sharing and sympathizing with the love histories also appeared.

The effect of Chinese online novel dramas on the attitude of merchandise and behavioral intention (중국 웹소설드라마의 파생상품 수용태도 및 행동의도 분석)

  • JING, Zhang;Kwon, Byung Woong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.113-125
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    • 2019
  • This research aims to understand the common psychological features of consumer. And master the direction of the development of the network novels derivation by analysis the TV plays adapted from network novels in China's IP industry. To this end, This research determine to analyzed consumer adoption attitude the Behavior Intention of derivative products. The date were collected from 612 Chinese people, from October 15 to October 22 2018. Statistical analysis were through SPSS 21 after data coding and data cleanings process. This research performed frequency analysis exploratory factor analysis, Independent sample t-test, one-way ANOVA, post-analysis Duncan test, correlation analysis and mass regression analysis. The research results are as follows. Firstly, the characteristics(topicality, empathy and interest) of network novel TV play positively related role in the adoption attitudes(cognitive attitude and emotional attitude) of derivatives commodities. At the same time, identity has a more positively related influence than topicality and interest. Secondly, all the characteristics of network novels consisting of topicality, identity and interest play positive related roles in the behavioral intentions of derivative commodities. Thirdly, emotional attitude plays a more positively related role in purchasing intention and recommendation intention compared with cognitive attitude. It is hoped that the research results can play a fundamental role in the production and development of network novels derivatives.

Information Structure of Online Video Platform Focused on Web-Drama Case (온라인 동영상 시청 플랫폼의 정보구조 탐색 - 웹드라마 사례를 중심으로)

  • Cha, Dong-Min;Sung, Junghwan
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.135-143
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    • 2019
  • Purpose of this study is enhancing usability of online video platform by analyze link-depth and advertisement frequency. In this study, researcher checked market share of video platform which publishing web-drama, and compare their link-depth and advertisement frequency. As a result, access to the latest content has two to three link-depth. So it does not worsen usability. but, if contents doesn't show on main page or search result, it requires more than five to six steps. Image advertisement show up more than twice on every platform. 'Youtube' and 'Naver TV' show up pre-roll video advertisement in video player before offering contents. In this video platform information structure, directory searching needs high link-depth level and advertisement frequency. It will increase user's bounce rate and decrease return visit rate. So researcher suggests prototype using drop-down menu to reduce link-depth and enhance information structure.

The Function of Voice-over Narration in the Web-drama OH Ku-sil (웹드라마 <오구실>의 내레이션 기능 연구)

  • Ryu, Jae Hyung
    • The Journal of the Korea Contents Association
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    • v.18 no.6
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    • pp.399-413
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    • 2018
  • The purpose of this study is to find out the significance and functions of the voice-over narration in the storytelling of the web-drama OH Ku-sil. As a result, the first person narration has enhanced the intimacy with a viewer via subjective statements and produced the two time zone effect that the image and the voice-over stood on different tenses. On the other hand, the third person narration has expanded its functions beyond those of the cinema and TV drama. First, the third person narration in OH Ku-sil has performed the essential role presenting significant information for the viewer's understanding story. Second, the objective/authoritative statements of the third person narration have changed to the subjective/suggestive statements. Third, the third person narrator has expanded his/her role from a narrator to a virtual character by means of the comic statements. It seems to be the existing narration's effective response to the web-drama's medium characteristics seeking efficient storytelling under the tight time restriction. Delivering speedily the story information and amusement, this evolutionary voice-over narration is changing its status from the staying off subject to the condition of the new medium called web-drama.

A drama recommendation system using collaborative filtering in R (R에서 협업 필터링을 이용한 드라마 추천 시스템)

  • Lim, Sung-Hun;Baek, soo bin;Park, Doo-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.287-290
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    • 2019
  • 종편 tv채널 증가와 모바일, 웹 시장의 발달로 엄청난 많은 양의 드라마가 양산되고 있다. 또한, 현대인들은 복잡한 현대의 생활 구조 때문에 드라마를 제 시간에 시청하거나 자신의 취향에 맞는 드라마를 골라서 시청하는 것은 매우 어렵다. 따라서, 본 논문에서는 R에서 협업 필터링 방법을 이용하여 사용자가 자신에게 가장 적합한 드라마를 추천하는 시스템을 제안한다.

Character Identification on Multiparty Dialogues using Multimodal Features (멀티모달 자질을 활용한 다중 화자 대화 속 인물 식별)

  • Han, Kijong;Choi, Seong-Ho;Shin, Giyeon;Zhang, Byoung-Tak;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
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    • pp.215-219
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    • 2018
  • 다중 화자 대화 속 인물 식별이란 여러 등장인물이 나오는 대본에서 '그녀', '아버지' 등 인물을 지칭하는 명사 또는 명사구가 실제 어떤 인물을 나타내는지 파악하는 문제이다. 대본 자연어 데이터만을 입력으로 하는 대화 속 인물 식별 문제는 드라마 대본에 대해서 데이터가 구축 되었고 이를 기반으로 여러 연구가 진행되었다. 그러나, 사람도 다중 화자 대화의 문장만 보고는 인물을 지칭하는 명사 또는 명사구가 실제 어떤 인물인지 파악하기 어려운 경우가 있다. 이에 본 논문에서는 발화가 되는 시점의 영상 장면 정보를 추가적으로 활용하여 인물 식별의 성능을 높이는 방법을 제시한다. 또한 기존 대화 속 인물 식별 연구들은 미리 정의된 인물을 대상으로 분류하는 형태로 접근해왔다. 이는 학습에 사용되지 않았던 인물이 나오는 임의의 다른 드라마 대본이나 대화 등에 바로 적용될 수 없다. 이에 본 논문에서는 영상 정보는 활용하되, 한번 학습하면 임의의 대본에 적용될 수 있도록 사전 인물 정보를 사용하지 않는 상호참조해결 기반의 인물 식별 방법도 제시한다.

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Sentiment Analysis Model with Semantic Topic Classification of Reviews (리뷰의 의미적 토픽 분류를 적용한 감성 분석 모델)

  • Lim, Myung Jin;Kim, Pankoo;Shin, Ju Hyun
    • Smart Media Journal
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    • v.9 no.2
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    • pp.69-77
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    • 2020
  • Unlike the past, which was limited to terrestrial broadcasts, many dramas are currently being broadcast on cable channels and the Internet web. After watching the drama, viewers actively express their opinions through reviews and studies related to the analysis of these reviews are actively being conducted. Due to the nature of the drama, the genre is not clear, and due to the various age groups of viewers, reviews and ratings from other viewers help to decide which drama to watch. However, since it is difficult for viewers to check and analyze many reviews individually, a data analysis technique is required to automatically analyze them. Accordingly, this paper classifies the topics of reviews that have an important influence on drama selection and reclassifies them into semantic topics according to the similarity of words. In addition, we propose a model that classifies reviews into sentences according to semantic topics and sentiment analysis through sentiment words.