• The Korean Society of Law and Medicine
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• v.15 no.1
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• pp.165-181
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• 2014

Advertisements and labels provided by businesses are highly likely to contain false or exaggerated content because of the business's purposes. In these cases, it is difficult to deliver proper information to consumers, and regulation is necessary to some extent. In particular, information delivery is more important in the health medical and biotechnology areas than any other because of their specialized characteristics. The Fair Labeling and Advertising Act regulates ordinary content for labels and advertisements, while individual laws stipulate regulations for false or exaggerated advertisements and labels. Criminal law might apply in fraud cases depending on their characteristics. Therefore, consistency is needed among criminal fraud laws and regulations, the Act on Fair Labeling and Advertising, and legal punishment. However, a review of all these laws found that there is no such consistency. Accordingly, this paper asserts the need for improvement in this area.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.180-185
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• 2018

The literature of unfair labeling and advertising(ULA) was reviewed, along with the requirement for establishing an obligation to compensate for damage(OCD) by it based on the Act on Fair Labeling and Advertising(FLAA). ULA covers cases of possible deception or misleading consumers and thereby undermining fair trade order, or making other business entities do so. FLAA regulates OCD by ULA, but the Civil Act should also be considered for its effective results since the Act regards ULA as unlawful and duty bound to make compensation for damages arising therein. In this context, the study analyzed qualitatively 17 supreme court precedents related to OCD by ULA among a total of 119 by advertising to find the characteristics of the judgemental principles. It is found that most principles came from FLAA and the Act focusing on the meaning of false or exaggerated advertising, which is one of the following five ULA types according to its standards of judgment: its requirement for fraudulent acts, the meaning of damage by it, the perspective of calculation of damages, the requirement of OCD, and the characteristics of claim for damages. A more effective policy is suggested based on FLAA and related research should be continually carried on.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.469-478
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• 2015

With several problems being pointed out with the rapid growth of online advertising markets, false, exaggerated or sensational advertisements are increasing. Particularly, the sensational appeal of online advertising is placed in the blind spot of deliberation on advertisements with any social consensus on the deliberation on online advertisements not made yet. According to these reasons, regulation and maintenance of the deliberation system are required for online advertising. In this study, content analyses on visual and verbal sensationalism in 2,009 advertisements were carried out based on 32 national online news services. According to the analyses, obscene advertisements on online news services are more than serious. In this study, based on the analyses, need for deliberation and regulation on online advertising is raised and direction of the deliberation on desired advertising is explored. In the future, effective advertising deliberate models need to be constructed through gathering opinions of the various members of the online advertising industry, such as advertisers, advertising agencies, media representatives, and publishers, etc.

• Korean journal of communication and information
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• v.39
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• pp.428-472
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• 2007

The purpose of this study is to find that how the principles of Fair Labelling and Advertising Act(called 'FLAA' hereinafter) apply to the unfair comparative labelling and advertising activities, as compared with deceptive and misleading, by analyzing the related judicial precedents for 7 years since FLAA enacted, The exact 17 precedents of Fair Trade Commission were analyzed to be judged the unfair comparative labelling and advertising activities, and partly also deceptive, falsified and exaggerated, which include in overlapping 5 comparative counterparts, 11 comparative standards, 7 comparative contents and 4 comparative methods in the unfairness types of comparison. Conclusively, it is needed that the unfairness of comparative labelling and advertising activities should be multiply considered in the concepts of deception, false or exaggeration and slanderousness, to more clearly apply to the facts and to more sufficiently protect consumers from the misleading environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.55-62
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• 2016

Recently, users choosing a restaurant basedon information provided by blogs are increasing significantly. However, those of most blogs are unreliable since domestic restaurant blogs are occupied by advertising postings written by 'power bloggers'. Thus, in order to ensure the reliability of blogs, it is necessary to filter the advertising blogs which are sometimes false or exaggerated. In this paper, we propose the method of distinguishing the advertising blogs utilizing an automatic classification technique. In the proposed technique, we first manually collected advertising restaurant blogs, and then analyzed features which are commonly found in those blogs. Using the extracted features, we determined whether a given blog is advertising one applying automatic classification algorithms. Additionally, we select the features and the algorithm which guarantee optimal classification performance through comparative experiments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.1-8
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• 2019

Recently, consumer distrust has deepened due to blog posts focusing only on public relations due to 'viral marketing'. In addition, marketing projects such as false writing or exaggerated use of the latter phase are one of the most popular programs in 2016 as they are cheaper and more effective than newspaper and TV ads, and the size of advertising costs is set to be a major means of advertising at '3 trillion 394.1 billion won. From this 'viral marketing,' it has become an Internet environment that needs tools to filter information. The fake review filtering application ADDAVICHI presented in this paper extracts, analyzes, and presents blog keywords, total number of searches, reliability and satisfaction when users search for content such as "event" and "taste restaurant." Reliability shows the number of ad posts on a blog, the total number of posts, and satisfaction shows a clean post with confidence divided into positive and negative posts. Finally, the keyword shows a list of the top three words in the review from a positive post. In this way, it helps users interpret information away from advertising.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.153-158
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• 2018

Fundamental problems of e-commerce are exaggerated advertising of products, lack of trust in products or suppliers, and false reviews. As a solution, I have merged the concept of trust service embedded in social network service(SNS) with commercial domain to develop a new type of service called "Reliable SNS Commerce Service". The contents developed in this paper are as follows: first, online community functions for users to provide services; second, commerce functions; and third, functions for linking SNS and commerce. Through the reliability information presented in this paper, the seller provides more reliable and objective purchase information to the buyer about the sales items, thereby contributing to the sales by increasing the probability of the actual purchase. The buyer can purchase the higher-quality products with confidence. The service providers can gain the reputation as a reliable site for purchasing members. In conclusion, this paper provides a positive effect to all the participants, which will contribute to the development of a new commerce market and activation of electronic commerce.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.75-100
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• 2018

Mobile devices have become an important channel for news content usage in our daily life. However, online news content readers' resistance to online news monetization is more serious than other digital content businesses, such as webtoons, music sources, videos, and games. Since major portal sites distribute online news content free of charge to increase their traffics, customers have been accustomed to free news content; hence this makes online news providers more difficult to switch their policies on business models (i.e., monetization policy). As a result, most online news providers are highly dependent on the advertising business model, which can lead to increasing number of false, exaggerated, or sensational advertisements inside the news website to maximize their advertising revenue. To reduce this advertising dependencies, many online news providers had attempted to switch their 'free' readers to 'paid' users, but most of them failed. However, recently, some online news media have been successfully applying the Pay-What-You-Want (PWYW) payment model, which allows readers to voluntarily pay fees for their favorite news content. These successful cases shed some lights to the managers of online news content provider regarding that the PWYW model can serve as an alternative business model. In this study, therefore, we collected 379 online news articles from Ohmynews.com that has been successfully employing the PWYW model, and analyzed the comparative importance of systematic attributes of online news content on readers' voluntary payment. More specifically, we derived the six systematic attributes (i.e., Type of Article Title, Image Stimulation, Article Readability, Article Type, Dominant Emotion, and Article-Image Similarity) and three or four levels within each attribute based on previous studies. Then, we conducted content analysis to measure five attributes except Article Readability attribute, measured by Flesch readability score. Before conducting main content analysis, the face reliabilities of chosen attributes were measured by three doctoral level researchers with 37 sample articles, and inter-coder reliabilities of the three coders were verified. Then, the main content analysis was conducted for two months from March 2017 with 379 online news articles. All 379 articles were reviewed by the same three coders, and 65 articles that showed inconsistency among coders were excluded before employing conjoint analysis. Finally, we examined the comparative importance of those six systematic attributes (Study 1), and levels within each of the six attributes (Study 2) through conjoint analysis with 314 online news articles. From the results of conjoint analysis, we found that Article Readability, Article-Image Similarity, and Type of Article Title are the most significant factors affecting online news readers' voluntary payment. First, it can be interpreted that if the level of readability of an online news article is in line with the readers' level of readership, the readers will voluntarily pay more. Second, the similarity between the content of the article and the image within it enables the readers to increase the information acceptance and to transmit the message of the article more effectively. Third, readers expect that the article title would reveal the content of the article, and the expectation influences the understanding and satisfaction of the article. Therefore, it is necessary to write an article with an appropriate readability level, and use images and title well matched with the content to make readers voluntarily pay more. We also examined the comparative importance of levels within each attribute in more details. Based on findings of two studies, two major and nine minor propositions are suggested for future empirical research. This study has academic implications in that it is one of the first studies applying both content analysis and conjoint analysis together to examine readers' voluntary payment behavior, rather than their intention to pay. In addition, online news content creators, providers, and managers could find some practical insights from this research in terms of how they should produce news content to make readers voluntarily pay more for their online news content.