• Cartoon and Animation Studies
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• s.44
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• pp.235-261
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• 2016

Media consumers in the context of the Internet and digital media are using the same content to a variety of platforms. As such, the content of various genres is converted to the form of a new content through the process of fusion, combination, transformation, differentiation, reproduction, etc on the basis of digital media. That is referred to as trans-media. In order to create the successful content in trans-media era, it requires the work of Edi-curation. Edi-curation work is the act of editing and adding meaning to the curation work of curators. In that sense, this paper analyzed the definition and meaning for Edi-curation of publishing and comic(webtoon) content in trans-media era. Edi-curation process induces the changing role of consumers and producers of content in the digital media experience. In process of Edi-curation, consumers(producers) will soon lead to a media producer(consumer), namely proconsumer / produser. Diversification of digital platforms and devices, digital 1 person (or SNS) appeared in the media, etc. are also required to Edi-curation of content and comic(webtoon) published in a variety of ways. Depending on the intention of media producers (or consumers), content through the process of replication, montage, disassembly, dismantling, hypertext, compression, and reconstruction births to new content. The work of Edi-curation has the significance that it affects the way the media producers work in creative process, as well as the reading content of the media consumers. In the publishing content, Edi-curation work is the logicality destruction of a chapter or a paragraph, a sentence of colloquialisms, card news, the deformation of the utilization of video and media content. Meanwhile in the comic(webtoon) content, we mention the destruction of cut(frame), the various modifications of speech bubbles, onomatopoeia, and mimetic word.

• Management & Information Systems Review
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• v.38 no.1
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• pp.63-81
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• 2019

In order to overcome the disadvantages of banner ad, pop-up ad, interstitial ad, which are existing web advertisement forms, native ad is actively utilized. Native advertising is considered to be a useful advertising technique in that it can reduce users' rejection and attract attention. However, in recent years, there have been a lot of fake news and fake contents that have turned articles or video contents into advertisements. The purpose of this study is to understand how firms can coordinate and control native advertisements in a rational way. For this analysis, we conducted a survey of 308 social media users using quota sampling method. As a result of the verification, it was found that the more negative the perception of the evaluation of the advertisement, the less the level of persuasion about the advertisement and the negative impact on the website where the advertisement is exposed. In addition, this study examined the influence of the negative stimulus factors on the qualitative performance of the firm. As a result, it was found that source non-expert had the highest effect on skepticism on ad. Also, platform overflow has a direct effect on the evaluation of the website as well as the negative evaluation of the advertisement. Moreover, this study provides concrete implications for the subdivision market by verifying the differences between the paths according to the level of website involvement.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.1-18
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• 2016

Owing to the extensive use of Web media and the development of the IT industry, a large amount of data has been generated, shared, and stored. Nowadays, various types of unstructured data such as image, sound, video, and text are distributed through Web media. Therefore, many attempts have been made in recent years to discover new value through an analysis of these unstructured data. Among these types of unstructured data, text is recognized as the most representative method for users to express and share their opinions on the Web. In this sense, demand for obtaining new insights through text analysis is steadily increasing. Accordingly, text mining is increasingly being used for different purposes in various fields. In particular, issue tracking is being widely studied not only in the academic world but also in industries because it can be used to extract various issues from text such as news, (SocialNetworkServices) to analyze the trends of these issues. Conventionally, issue tracking is used to identify major issues sustained over a long period of time through topic modeling and to analyze the detailed distribution of documents involved in each issue. However, because conventional issue tracking assumes that the content composing each issue does not change throughout the entire tracking period, it cannot represent the dynamic mutation process of detailed issues that can be created, merged, divided, and deleted between these periods. Moreover, because only keywords that appear consistently throughout the entire period can be derived as issue keywords, concrete issue keywords such as "nuclear test" and "separated families" may be concealed by more general issue keywords such as "North Korea" in an analysis over a long period of time. This implies that many meaningful but short-lived issues cannot be discovered by conventional issue tracking. Note that detailed keywords are preferable to general keywords because the former can be clues for providing actionable strategies. To overcome these limitations, we performed an independent analysis on the documents of each detailed period. We generated an issue flow diagram based on the similarity of each issue between two consecutive periods. The issue transition pattern among categories was analyzed by using the category information of each document. In this study, we then applied the proposed methodology to a real case of 53,739 news articles. We derived an issue flow diagram from the articles. We then proposed the following useful application scenarios for the issue flow diagram presented in the experiment section. First, we can identify an issue that actively appears during a certain period and promptly disappears in the next period. Second, the preceding and following issues of a particular issue can be easily discovered from the issue flow diagram. This implies that our methodology can be used to discover the association between inter-period issues. Finally, an interesting pattern of one-way and two-way transitions was discovered by analyzing the transition patterns of issues through category analysis. Thus, we discovered that a pair of mutually similar categories induces two-way transitions. In contrast, one-way transitions can be recognized as an indicator that issues in a certain category tend to be influenced by other issues in another category. For practical application of the proposed methodology, high-quality word and stop word dictionaries need to be constructed. In addition, not only the number of documents but also additional meta-information such as the read counts, written time, and comments of documents should be analyzed. A rigorous performance evaluation or validation of the proposed methodology should be performed in future works.

• Korean Journal of Health Education and Promotion
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• v.16 no.2
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• pp.137-155
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• 1999

The purpose of this study was to assess the effect of sex education on knowledge and attitude related to sex. The subjects were taken from by 199 students in 3 classes from 1st grade in H girl's junior high school as the study group, and 2 classes from 1st grade in S girl's junior high school as control group. During the survey period(September 21, 1998 to September 30, 1998), 6 times in terms of one-hour class for sex education were taught to the study group. A pre-test was executed on September 19, 1998 and the post-test on September 30. The findings were as follows. 1. According to the research, 20.1％ of the subjects have experienced sex education from parents and 89.9％ from teacher. They have mostly obtained the sex-related information from teachers(59.8％), following movie, radio, TV, or video tape(40.7％), friends(35.2％), reading materials such as books, cartoons, news papers and magazines(31.7％), parents(15.6％), siblings(7.0％), PC(1.5％) and telephone service(1.5％). 2. 27.1％ of the subjects reported that they had sex-related worry concerning from friendship with the opposite sex, following physiological phenomenon(31.5％), sex violence(11.1％), physical characteristics(7.4％), VD and contraception(5.6％), sexual impulse(5.6％), pregnancy and delivery(5.5％), and sexual behaviour(3.7％). The research showed that the adolescents usually solved their problems through the consultation with theifriends(44.4％). However, 16.7％ of the subjects were turned out not to request any solution. The other minor routes to settle their problems were written materials such as books, magazines(13.0％), parents(13.0％), movie, radio, TV, or video tape(5.5％), acquainted female elders(3.7％) and teachers(3.7％). 3. The most interesting part regarding sex was the friendship with the opposite sex(61.8％), following adolescent's emotion(55.8％), physiological differences between two genders(52.8％), AIDS(48.7％), VD(46.7％), pregnancy(45.2％), contraception(45.2％), abortion(41.7％), intercourse(41.7％), masturbation(41.2％), sex violence(41.2％) and genital structure and secondary sexual characteristics(28.6％). 4. In regard to characteristics of the subjects influencing sex-related knowledge, the higher educational career of mother, living with at least either parent and the experience of sex education by teachers were statistically significant factors(p〈0.05). 5. In regard to characteristics of the subjects influencing attitudes toward sex, the experience of sex education by parents or teachers was a statistically significant factor(p〈0.05). 6. The analysis of knowledge score comparing results before and after sex education showed that control group's score decreased from 12.5 to 12.44 while the study group's score increased from 12.33 to 21.31, which was statistically significant(p〈0.001). 7. The analysis of the attitude scores before and after sex education showed that the control group's score slightly increased from 55.57 to 56.36, while the study group's score increased from 54.79 to 61.95, which was statistically significant(p〈0.001). 8. The level of sex-related concerns of the study group after sex education marked both the increase in some items and the decrease in others. 9. Most instructive session among the sex education was the third “to be a good friend to the opposite sex”(27.0％).

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.133-148
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• 2014

Recently, with the advent of various information channels, the number of has continued to grow. The main cause of this phenomenon can be found in the significant increase of unstructured data, as the use of smart devices enables users to create data in the form of text, audio, images, and video. In various types of unstructured data, the user's opinion and a variety of information is clearly expressed in text data such as news, reports, papers, and various articles. Thus, active attempts have been made to create new value by analyzing these texts. The representative techniques used in text analysis are text mining and opinion mining. These share certain important characteristics; for example, they not only use text documents as input data, but also use many natural language processing techniques such as filtering and parsing. Therefore, opinion mining is usually recognized as a sub-concept of text mining, or, in many cases, the two terms are used interchangeably in the literature. Suppose that the purpose of a certain classification analysis is to predict a positive or negative opinion contained in some documents. If we focus on the classification process, the analysis can be regarded as a traditional text mining case. However, if we observe that the target of the analysis is a positive or negative opinion, the analysis can be regarded as a typical example of opinion mining. In other words, two methods (i.e., text mining and opinion mining) are available for opinion classification. Thus, in order to distinguish between the two, a precise definition of each method is needed. In this paper, we found that it is very difficult to distinguish between the two methods clearly with respect to the purpose of analysis and the type of results. We conclude that the most definitive criterion to distinguish text mining from opinion mining is whether an analysis utilizes any kind of sentiment lexicon. We first established two prediction models, one based on opinion mining and the other on text mining. Next, we compared the main processes used by the two prediction models. Finally, we compared their prediction accuracy. We then analyzed 2,000 movie reviews. The results revealed that the prediction model based on opinion mining showed higher average prediction accuracy compared to the text mining model. Moreover, in the lift chart generated by the opinion mining based model, the prediction accuracy for the documents with strong certainty was higher than that for the documents with weak certainty. Most of all, opinion mining has a meaningful advantage in that it can reduce learning time dramatically, because a sentiment lexicon generated once can be reused in a similar application domain. Additionally, the classification results can be clearly explained by using a sentiment lexicon. This study has two limitations. First, the results of the experiments cannot be generalized, mainly because the experiment is limited to a small number of movie reviews. Additionally, various parameters in the parsing and filtering steps of the text mining may have affected the accuracy of the prediction models. However, this research contributes a performance and comparison of text mining analysis and opinion mining analysis for opinion classification. In future research, a more precise evaluation of the two methods should be made through intensive experiments.