• Journal of Digital Convergence
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• v.10 no.9
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• pp.253-262
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• 2012

This study tries to find the differences in attitude towards advertisement and corporate image according to the context of article in web contents, banner advertisement exposure and news type. The findings of this study are as follows. First, interaction effect between the context of Internet article on social contribution activity and attitude towards advertisement was confirmed. When the context of Internet article was negative, the news type that provides a photo with the article was more effective for the attitude towards advertisement. It is estimated that when a photo is provided with an Internet article for social contribution activity, the level of crowdedness increases and accordingly the negative context of the Internet article is cancelled out. Second, interaction effect between news type and advertisement type of social contribution activity article and attitude towards advertisement was confirmed. In the news type that provides a photo with an Internet article, corporate advertisement was more effective for attitude towards advertisement than product advertisement. Third, interaction effect between the news type of social contribution activity and corporate image according to advertisement type was confirmed. In the news type that provides a photo with an Internet article, product advertisement was more effective for corporate image than corporate advertisement.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.345-351
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• 2021

This study is designed to determine how to identify misleading news articles based on natural language processing on Artificial Intelligence & Bigdata. A misleading news discrimination system and method on natural language processing is initiated according to an embodiment of this study. The natural language processing-based misleading news identification system, which monitors the misleading vocabulary database, Internet news articles, collects misleading news articles, extracts them from the titles of the collected misleading news articles, and stores them in the misleading vocabulary database. Therefore, the use of the misleading news article identification system and methods in this study does not take much time to judge because only relatively short news titles are morphed analyzed, and the use of a misleading vocabulary database provides an effect on identifying misleading articles that attract readers with exaggerated or suggestive phrases. For the aim of our study, we propose news article identification methods in natural language processing on Artificial Intelligence & Bigdata.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.177-195
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• 2017

Traditionally, news was consumed only through printed newspapers and broadcasting media, such as radio and television. However, the Internet has enabled people to consume news content online. Since most of online news content has been provided for free, it is not easy for news providers to charge the fixed subscription fee for online news content. Therefore, as an alternative strategy, some online news providers have tried to adopt the Pay-What-You-Want (PWYW) pricing model, which allows users (readers) to pay as much as they want after consuming news content. As this pricing model shows some possibility to grow and replace the unsuccessful monetization strategy of online news content, we therefore examined the comparative importance of seven heuristic attributes (i.e., article evaluation, article share, article comment, article information design, article length, writer SNS, and writer information) affecting readers' voluntary payment behavior through a conjoint analysis with 379 news articles collected from online news Website (i.e., Ohmynews.com) where the PWYW model has been working successfully. This study found that article share and article length are the most important factors which affect online news content users' voluntary payment. Finally, two major and eight minor propositions are suggested based on the findings of the study. This study would suggest guidelines for how to create online news content which induces much more voluntary payment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.4958-4970
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• 2019

As technology advances, the amount of fake news is increasing more and more by various reasons such as political issues and advertisement exaggeration. However, there have been very few research works on fake news detection, especially which uses grammatical transformation on deep neural network. In this paper, we shall present a new Fake News Detection Model, called FAGON(Fake news detection model using Grammatical transformation On deep Neural network) which determines efficiently if the proposition is true or not for the given article by learning grammatical transformation on neural network. Especially, our model focuses the Korean language. It consists of two modules: sentence generator and classification. The former generates multiple sentences which have the same meaning as the proposition, but with different grammar by training the grammatical transformation. The latter classifies the proposition as true or false by training with vectors generated from each sentence of the article and the multiple sentences obtained from the former model respectively. We shall show that our model is designed to detect fake news effectively by exploiting various grammatical transformation and proper classification structure.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.4833-4848
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• 2019

This paper introduces the structure and effects of Kakao's news curation algorithm, which is created based on the Deep Reading Index (DRI). The DRI examines the extent of deep reading through content reading time, that is, the duration of reader engagement with an article. Current news curation algorithms focus on reader choice, with the click-through rate or pageviews as the gauge for consumption frequency. DRI is a product of the challenge of introducing and adopting a new factor called 'consumption time' instead of 'frequency of consumption', which is the basis of existing curation algorithms. The analysis of DRI-based services proves that the new algorithm can act as a curation system that is more effective in providing in-depth and quality news reports.

• The Korean Journal of Archival Studies
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• no.34
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• pp.107-163
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• 2012

The share of the internet has grown significantly in terms of usage and level of influence. Among the internet media, OhmyNews is considered a alternative media representing Korea's independent internet news, and a typical example displaying characteristics of the internet news. The processing step can be divided as five stage, with recorded information and applicable technical element extractable from each stage. In this thesis paper, we have analyzed domestic and overseas metadata standard examples to devise metadata design plans. Items to be focused when redesigning metadata based on domestic and foreign case studies are as follows: First, user access should be convenient; second, connection with related information should be considered; third, accumulation of production, management, usage, storage, and action history should be considered; and fourth, the design should allow higher utilization of contents. In depth researches over internet media are already being carried out in external academic disciplines including the media information studies, information and communication studies, and communications studies. We expect that it will also be necessary to consider such researches over the internet media for mass media record management research going forward.

• Journal of Fashion Business
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• v.24 no.4
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• pp.85-98
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• 2020

The Internet of Things (IoT) shopping environment can provide benefits and risks to consumers, including shopping convenience and invasion of consumer rights, respectively. We experimentally tested whether exposure to information regarding the benefits and risks of IoT shopping would elicit changes to consumer perceptions of the importance of shopping convenience and rights to information, as well as shopping intention among young online shopping consumers. The participants (N=218) were randomly assigned into one of two experimental conditions. The control group was exposed to a news article and a video emphasizing the shopping convenience of the Amazon Dash Button service, while the experimental group was exposed to the same news article and video provided to the control group, along with a news article about the judgment of the Munich court that the Dash Button violates German consumer law. We found an interaction effect of experimental condition and time on changes to the perceived importance of shopping convenience and shopping intention. The changes to the perceived relative importance of shopping convenience to consumer rights to information from pre- to post-manipulation differed significantly between the two experimental groups. The results of this study emphasize the importance of providing information on both the benefits and risks of IoT shopping. This was the first experimental study to examine the possibility of the invasion of consumer rights to information in the IoT shopping environment. This study urges researchers, marketers, and policy makers to focus more on consumer rights to information in the newly coming IoT shopping environment.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.39-44
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• 2022

The advent, course, and possible consequences of the COVID-19 pandemic are now the focus of global attention. From whichever side the geopolitical centers of influence might view it, the problem of the coronavirus concerns all world leaders and the representatives of all branches of science, especially physicians, economists, and politicians - virtually the entire population of the planet. The uniqueness of the COVID-19 phenomenon lies in the uncertainty of the problem itself, the peculiarities and specifics of the course of the biological processes in modern conditions, as well as the sharp confrontation of the main political players on the world stage. Based on an analysis of scientific research, the article describes the profile of the emotional concept of "anxiety" in Russian linguoculture. Through monitoring the headlines of Russian media reports in the "COVID-19" section of Google News and Mail News news aggregators dated August 4-6, 2021, the study establishes the quantitative and qualitative characteristics of the alarm-generating news products on coronavirus in the Russian segment of the Internet and interprets the specifics of media information about COVID-19. The level of mass media criticism in Russia is determined through a phone survey. It is concluded that coronavirus reports in online media conceptualize anxiety about the SARS virus and the COVID-19 disease as a complex cognitive structure. The media abuse the trick of "magic numbers" and emotionally expressive words in news headlines, which are perceived by mass information consumers first and typically uncritically.

• Informatization Policy
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• v.30 no.2
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• pp.3-21
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• 2023

The recent Internet environment demands a new approach to Internet content regulation. The need for regulation on the Internet has been recognized due to the rise of digital sex crimes, illegal information such as drugs and suicide, fake news, hate speech, false consumer reviews, and harmful content for young people. This article attempts to analyze the legislative, judicial, and administrative aspects of Internet content regulation in Korea. It covers the current status and characteristics of the Internet content regulation law, the judicial judgment on KCSC's communications deliberation and regulation, and the process and characteristics of KCSC's communications deliberation. Problems in Korea's communications deliberation system were addressed through legislative, judicial, and administrative approaches. This article concludes with policy suggestions for improving Internet content regulation in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1589-1595
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• 2018

The purpose of this research is to search for and identify trends in adolescent problems on internet news sites. Among the domestic internet news sites, 8,110 articles on adolescent problems from 1993 to 2018 were analyzed for the top three top-ranked 'The Chosunilbo', 'The Dong-A Ilbo', and 'Korea Joongang Daily' news sites. As a result of this study, we have been able to understand the topic of adolescent problems in internet news sites for the last 26 years and find out that the trend of articles has been changed considering the environment, policies and culture related to adolescent problems. This study is meaningful to start from the method to examine the social trends of existing adolescent problems, to expand the scope of adolescent problems and counseling, to use quantitative analysis methods and to provide new information to consider diversity.