• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.575-585
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• 2022

Negative perceptions about corporate social responsibility (CSR) crises and repeated crises are increasing. It is necessary to examine the effects of a proactive strategy of disclosing crisis information against the negative perceptions. The research is intended to analyze ability-based trust, and benevolence-based trust by crisis type, crisis history, and timing of crisis disclosure. In this regard, a 2 (crisis history: present vs. absent) x 2 (crisis type: corporate ability crisis vs CSR crisis) x 2 (timing of crisis disclosure: stealing thunder vs thunder) between-groups design experiment was conducted. Research results show crisis type and crisis history have significant interaction effects on ability-based trust. In the CSR crisis, the case with crisis history shows lower ability-based trust than the case without crisis history. Timing of crisis disclosure showed significant interactions with crisis history and crisis type. The stealing thunder strategy heigntened ability-based trust and benevolence-based trust against the CSR crises and the cases without crisis history more than the corporate ability crises and the cases with crisis history. Considering that the stealing thunder strategy is more effective with the CSR crises than the corporate ability crises, the research results suggest that future CSR crisis responses should prepare active disclosure of crisis information before news media disclosure of such information.

• Convergence Security Journal
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• v.23 no.2
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• pp.47-54
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• 2023

The global popularity of K-content(Korean Wave) has led to a continuous increase in copyright infringement cases involving domestic works, not only within the country but also overseas. In response to this trend, there is active research on technologies for detecting illegal distribution sites of domestic copyrighted materials, with recent studies utilizing the characteristics of domestic illegal distribution sites that often include a significant number of advertising banners. However, the application of detection techniques similar to those used domestically is limited for overseas illegal distribution sites. These sites may not include advertising banners or may have significantly fewer ads compared to domestic sites, making the application of detection technologies used domestically challenging. In this study, we propose a detection technique based on the similarity comparison of links and text trees, leveraging the characteristic of including illegal sharing posts and images of copyrighted materials in a similar hierarchical structure. Additionally, to accurately compare the similarity of large-scale trees composed of a massive number of links, we utilize Graph Neural Network (GNN). The experiments conducted in this study demonstrated a high accuracy rate of over 95% in classifying regular sites and sites involved in the illegal distribution of copyrighted materials. Applying this algorithm to automate the detection of illegal distribution sites is expected to enable swift responses to copyright infringements.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.75-95
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• 2020

With the growth of social networks, various forms of SNS have emerged. Based on various motivations for use such as interactivity, information exchange, and entertainment, SNS users are also on the fast-growing trend. Facebook is the main SNS channel, and companies have started using Facebook pages as a public relations channel. To this end, in the early stages of operation, companies began to secure a number of fans, and as a result, the number of corporate Facebook fans has recently increased to as many as millions. from a corporate perspective, Facebook is attracting attention because it makes it easier for you to meet the customers you want. Facebook provides an efficient advertising platform based on the numerous data it has. Advertising targeting can be conducted using their demographic characteristics, behavior, or contact information. It is optimized for advertisements that can expose information to a desired target, so that results can be obtained more effectively. it rethink and communicate corporate brand image to customers through contents. The study was conducted through Facebook advertising data, and could be of great help to business people working in the online advertising industry. For this reason, the independent variables used in the research were selected based on the characteristics of the content that the actual business is concerned with. Recently, the company's Facebook page operation goal is to go beyond securing the number of fan pages, branding to promote its brand, and further aiming to communicate with major customers. the main figures for this assessment are Facebook's 'OK', 'Attachment', 'Share', and 'Number of Click' which are the dependent variables of this study. in order to measure the outcome of the target, the consumer's response is set as a key measurable key performance indicator (KPI), and a strategy is set and executed to achieve this. Here, KPI uses Facebook's ad numbers 'reach', 'exposure', 'like', 'share', 'comment', 'clicks', and 'CPC' depending on the situation. in order to achieve the corresponding figures, the consideration of content production must be prior, and in this study, the independent variables were organized by dividing into three considerations for content production into three. The effects of content material, content structure, and message styles on Facebook's user behavior were analyzed using regression analysis. Content materials are related to the content's difficulty, company relevance, and daily involvement. According to existing research, it was very important how the content would attract users' interest. Content could be divided into informative content and interesting content. Informational content is content related to the brand, and information exchange with users is important. Interesting content is defined as posts that are not related to brands related to interesting movies or anecdotes. Based on this, this study started with the assumption that the difficulty, company relevance, and daily involvement have an effect on the dependent variable. In addition, previous studies have found that content types affect Facebook user activity. I think it depends on the combination of photos and text used in the content. Based on this study, the actual photos were used and the hashtag and independent variables were also examined. Finally, we focused on the advertising message. In the previous studies, the effect of advertising messages on users was different depending on whether they were narrative or non-narrative, and furthermore, the influence on message intimacy was different. In this study, we conducted research on the behavior that Facebook users' behavior would be different depending on the language and formality. For dependent variables, 'OK' and 'Full Click Count' are set by every user's action on the content. In this study, we defined each independent variable in the existing study literature and analyzed the effect on the dependent variable, and found that 'good' factors such as 'self association', 'actual use', and 'hidden' are important. Could. Material difficulties', 'actual participation' and 'large scale * difficulties'. In addition, variables such as 'Self Connect', 'Actual Engagement' and 'Sexual Sexual Attention' have been shown to have a significant impact on 'Full Click'. It is expected that through research results, it is possible to contribute to the operation and production strategy of company Facebook operators and content creators by presenting a content strategy optimized for the purpose of the content. In this study, we defined each independent variable in the existing research literature and analyzed its effect on the dependent variable, and we could see that factors on 'good' were significant such as 'self-association', 'reality use', 'concernal material difficulty', 'real-life involvement' and 'massive*difficulty'. In addition, variables such as 'self-connection', 'real-life involvement' and 'formative*attention' were shown to have significant effects for 'full-click'. Through the research results, it is expected that by presenting an optimized content strategy for content purposes, it can contribute to the operation and production strategy of corporate Facebook operators and content producers.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.238-242
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• 2007

The existent UCC sites display only finalized contents by publisher. It dose not provide any platform for resources of UCC that public users could reorganize. This paper has developed a platform to be able to produce reusable content using the scenes of the contents and produced a 3D animation with multiple story. It is necessary for user to search the provided contents for easy reorganization of the contents. The scene is classified by the description and information of the scene for handy search. It is obscure for a movie clip to be represent with only one word. Therefore, the proposed platform provides the search technique with a overlapping choice for the specific categories that include most of elements for the scene. Then the user can choose a specific range of the selected movie clip, make a new story with reorganizing the order, and put a caption or BGM on the movie clip. The complete movie clip has the search preferences as a category, new clips, and top favorites. With the Multi-Story line concept, we made a 3D animation about episodes of thermal dolls in the Doll World. This attempt will come to the new marketing way for a field of the visual media like as Music Video, Drama, Feature Film, Commercial Film.

• Cartoon and Animation Studies
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• s.39
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• pp.27-58
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• 2015

The crisis in profit and funding for animation is in evidence around the world. The change in media environment has forced broadcasting advertising revenue down and animation viewers spread out. Now, animation players in the strongest position are either the US major studios, or producers benefiting from domestic support schemes. Government support is available in many countries because many governments believe that support for domestic animation carries both economic and cultural benefits. This paper is designed to suggest new policy schemes for Korean animation industry. The new paradigm of animation policy needs a new perspective on content industry as a whole, not centered on the animation itself. The researchers on public policy for culture, audiovisual and content industry argued that the government should, (i) play the role of facilitator for virtuous cycle of industry value chain, (ii) provide fiscal support through automatic and selective schemes, (iii) provide tax benefit to strengthen the competitiveness of industry, and (iv) enforce the broadcasters to contribute to domestic programming and financing. Comparative analysis on French and Canadian audiovisual policy supports such arguments, and animation industry of two countries are enjoying the high audience ratings and sustainable production volume. From the analysis, this paper suggests the new government schemes for Korean animation industry, which are, (i) securing the public funding for fiscal support, (ii) introduction of automatic production support, (iii) modification of broadcasting quota, (iv) broadcaster's performance envelope and production quota, and (v) tax benefit as indirect support.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.93-105
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• 2012

Science and technology are deeply based on the invention of photography. The images that were made through machines and scientific process were not just delicate images. Photography was used wherever accurate record and realistic description were needed, such as public culture, art, advertisement, science research and so on, so it became an important part of anthropologic culture. However, the history of photography in the present photography education mainly deal with photographic tendency of famous photographers, the change of art paradigm by time period, social changes through big wars, thus there is a lack of diverse perspective in the history of photography, such as technological perspective. In this study, the history of photography was examined through science and technology, and analyzed how photography was affected and changed by the stage of important technological accomplishment. From this point of view, It will be helpful to understand modern photography, and meaningful to be a good reference. Furthermore, by understanding that photography relies on technology, the people who majored in photography will realize how important studying photographic technology and theories is.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.430-438
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• 2012

This study researches the correlation between the firm value, which can be represented as Tobin's Q in this paper, and other financial information. The research is based on the financial statistics of KOSDAQ-listed Venture manufactures, which is comprised of the venture businesses group and the general group. The multiple regression, the correlation test tool, shows the R&D expenditures and tangible assets have the positive relation with the firm value while training expenses and the return on assets have the negative one. More specifically, R&D expenditures and total assets have the affirmative relations with the firm value among the venture businesses, whereas tangible assets, advertising expenses, and training expenses have the negative ones. The positive correlation between total assets and the firm value of venture business, shows that the volume of intangible assets impacts on the firm value of venture businesses. It also reflects the features of venture businesses highly relying on the technology development. The results are summarized as follows: First, The R&D expenditures and firm value have been positively correlated in the KOSDAQ-listed companies. Second, total assets and firm value has the positive correlation in the venture businesses.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.267-274
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• 2020

Click-through rate (CTR) prediction is an estimate of the probability that a user will click on a given item and plays an important role in determining strategies for maximizing online ad revenue. Recently, research has been performed to utilize CNN for CTR prediction. Since the CTR data does not have a meaningful order in terms of correlation, the CTR data may be arranged in any order. However, because CNN only learns local information limited by filter size, data arrays can have a significant impact on performance. In this paper, we propose a multi-array CNN model that generates a data array set that can extract all local feature information that CNN can collect, and learns features through individual CNN modules. Experimental results for large data sets show that the proposed model achieves a 22.6% synergy with RI in AUC compared to the existing CNN, and the proposed array generation method achieves 3.87% performance improvement over the random generation method.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.368-378
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• 2015

As PPL has become available since the proposal of the revised enforcement ordinances of the Broadcast Law in January 2010, not only PPL has become increased in its quantity but its method has also become diversified gradually. However, there are problems in institutional and policy aspects in order to realize its potentials, and it needs to be reviewed more concretely. Consequently, the study aims to provide domestic PPL activation plans by the research of domestic and international PPL regulations PPL market situation was examined preferentially, and then Korean PPL market situation was compared to foreign countries' counterpart. In order that, PPL regulation plan of US, Japan, China, and other major Europe countries were compared to Korean's one. The problems and issues related to PPL regulation was also looked into, and practical PPL regulation plan was researched. According to that, improvement plan of PPL regulation and methodology to revitalize PPL in respect of business and government were suggested

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.831-835
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• 2006

Motion capture means the recording of movement of objects such as human beings, animals, creatures, machines, etc in a form applicable to computer. Since the motion capture system can be introduced to the fields where realistic movement of human beings and animals, which cannot be attained with an existing key frame method is required, large scale is necessary or economical burden exists, it has a merit and possibility of new expression. For these reasons, this method is increasingly used in the field of digital entertainment such as movie, TV, advertisement, documentary, music video, etc centering around the game. However, in spite of such an advantage, problems such as too much advance preparation work in digital image expressions using motion capture, marker attachment, compensation of motion data, motion retargeting and lack of professional human resources, etc. are becoming a prominent figure. Accordingly, this study intends to suggest the way of more effective production of motion capture digital image through finding the problems and their draft possible solutions in the production process based on the image production examples using motion capture.