• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.194-204
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• 2016

With the fast diffusion of smart media, Webtoon has become popular contents among Korean people. Webtoon's content is being used in various content industries, such as movies and drama, and thus its cultural influence is increasing. Using ordinal Regression analysis, this study tried to find major factors affecting webtoon's success. This study found that readers' rating, number of likes, OSMU, author power, genre, picture style are important factors affecting the success of webtoon. This study has several business implications for the Korean webtoon industry.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.1-13
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• 2021

This study postulates that Government as a Platform(GaaP) could be a next generation government model, drawing activation strategy from success factors of webtoon platform by NAVER. It suggests success factors of Naver webtoon case based on three main components of platform strategy. First, in the aspect of platform infrastructure, Naver webtoon was established based on powerful portal site by parent company Naver and improved platform accessibility through using webtoon without login. Second, in the aspect of stakeholder engagement, Naver webtoon has offed webtoon at no cost and it has taken an intermediary role for supporting the stakeholders with PPS. Third, in the aspect of outputs production, Naver webtoon offered real time feedback from webtoon users that could affect webtoon production and established incubating system that allow users to create their webtoon. And due to PPS, it makes possible to various create second outputs based on webtoon, which can contribute to activating webtoon ecosystem.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.61-67
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• 2018

This media conversion in which webtoons are remediated to movies and dramas has taken off since the mid-2000s. Webtoons may be favorable for media conversion into movies and dramas as the story as finished and has proven to be fun with a fixed readership: however, only a small number of webtoon were successful box office hits or received high viewer ratings. Then in 2017, the movie based on the webtoon, succeed in attracting more more then 10 million viewers. In this regard, this study derived the success factors by comparing and analyzing the narrative structure and visual elements of , which was the biggest hit movie, with the original webtoon. The case analysis showed that there are two necessary elements for success: a text configuration of strategy optimized for media conversion, which is based on understanding the different media characteristics of webtoon and movie; and a configuration strategy that exaggerates the personalities of the characters and compresses the story of a webtoon which features various events and many characters in a long series, in consideration of the characteristics of movie which needs to give a big impact in 2 hours.

• The Journal of Bigdata
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• v.7 no.1
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• pp.173-185
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• 2022

Nowadays, Korean webtoons are leading the global digital comic market. Webtoons are being serviced in various languages around the world, and dramas or movies produced with Webtoons' IP (Intellectual Property Rights) have become a big hit, and more and more webtoons are being visualized. However, with the success of these webtoons, the working environment of webtoon creators is emerging as an important issue. According to the 2021 Cartoon User Survey, webtoon creators spend 10.5 hours a day on creative activities on average. Creators have to draw large amount of pictures every week, and competition among webtoons is getting fiercer, and the amount of paintings that creators have to draw per episode is increasing. Therefore, this study proposes to generate webtoon background images using deep learning algorithms and use them for webtoon production. The main character in webtoon is an area that needs much of the originality of the creator, but the background picture is relatively repetitive and does not require originality, so it can be useful for webtoon production if it can create a background picture similar to the creator's drawing style. Background generation uses CycleGAN, which shows good performance in image-to-image translation, and CartoonGAN, which is specialized in the Cartoon style image generation. This deep learning-based image generation is expected to shorten the working hours of creators in an excessive work environment and contribute to the convergence of webtoons and technologies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.197-200
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• 2016

한국에서 웹툰의 인기는 과거에 비교해 볼 때 점차 확대 되고 있고, 한국 만화 시장에서 웹툰의 성장률은 이미 출판만화의 성장률을 뛰어 넘고 있다. 한국 웹툰을 주로 애용하는 이용층은 10대에서 20대가 주를 이루고 있었으나 점차 아동층의 이용증가세가 눈에 띄고 있다. 과거부터 한국에서 아동용 교육용으로서 애니메이션과 아동미술의 접목은 많이 시도되어 왔고 많은 성공을 거두고 있으며 마켓쉐어 또한 굉장히 높은 편이다. 이 두 가지를 이용, 웹툰과 아동미술의 접목 또한 아동들에게 영향력이 있을 것이라 예상 하고 이 두 분야의 접목에 대해 긍정적인 부분과 부정적인 부분을 비교분석하여 발전 방향을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.770-773
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• 2019

본 논문에서는 매년 성장하는 웹툰 시장 속에서 신인 작가들이 성공할 수 있는 성공 요인을 밝히고자 하였다. 국내 1위 웹툰 플랫폼인 네이버 웹툰 중 데뷔작을 기준으로 완결 웹툰 212개, 연재 중인 웹툰 112개, 총 324개의 웹툰을 수집하여 연구를 진행하였다. 기존 선행연구와의 차별화를 두기 위해 독자의 직접적인 반응 중 하나인 댓글을 성공 요인에 포함하였다. 댓글에 담긴 긍정, 부정을 나타내는 주관을 탐지하기 위해 딥러닝을 이용하여 감성 분석을 실시하였다. 각 웹툰에 대한 댓글 반응을 포함하여 평균, '좋아요' 수, 장르 그리고 첫 화 댓글 수와 5화까지 평균 댓글 수를 흥행에 영향을 미치는 독립변수로 사용했다. 댓글 반응이 중요 요인인지를 확인하기 위해 각 모델 생성 시 댓글 반응을 포함한 모델과 포함하지 않은 모델을 생성하여 성능 평가를 실시하였다. 로지스틱 회귀분석, 아다 부스트, 그리고 서포트 벡터 머신 모델을 정확도와 ROC 그래프를 이용해 효율성을 비교하고, 이를 통해 댓글 반응을 활용한 로지스틱 회귀 모델이 가장 적합하다고 판단하였다. 모델 생성 결과 '좋아요' 수, 1화 댓글 수, 댓글 반응 순으로 성공 요인에 많은 영향을 미치는 것을 알 수 있었다.