• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.16-21
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• 2022

사전학습 말뭉치는 위키백과 문서 뿐만 아니라 인터넷 커뮤니티의 텍스트 데이터를 포함한다. 이는 언어적 관념 및 사회적 편향된 정보를 포함하므로 사전학습된 언어 모델과 파인튜닝한 언어 모델은 편향성을 내포한다. 이에 따라 언어 모델의 중립성을 평가할 수 있는 지표의 필요성이 대두되었으나, 아직까지 언어 인공지능 모델의 정치적 중립성에 대해 정량적으로 평가할 수 있는 척도는 존재하지 않는다. 본 연구에서는 언어 모델의 정치적 편향도를 정량적으로 평가할 수 있는 지표를 제시하고 한국어 언어 모델에 대해 평가를 수행한다. 실험 결과, 위키피디아로 학습된 언어 모델이 가장 정치 중립적인 경향성을 나타내었고, 뉴스 댓글과 소셜 리뷰 데이터로 학습된 언어 모델의 경우 정치 보수적, 그리고 뉴스 기사를 기반으로 학습된 언어 모델에서 정치 진보적인 경향성을 나타냈다. 또한, 본 논문에서 제안하는 평가 방법의 안정성 검증은 각 언어 모델의 정치적 편향 평가 결과가 일관됨을 입증한다.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.133-144
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• 2014

As the Internet and smartphones prevail, this study investigated the purchasing factors of a new beauty marketing method, the social commerce, and verified the relationship of such purchasing factors to consumer satisfaction and repurchasing intentions. In order to verify the validity of purchasing factors, five sub-factors, such as service, price, interaction, convenience, and interest were classified, while consumer satisfaction and repurchasing intentions are grouped into one factor, using data about 20-39 years old. According to results of this study, purchasing factors in the beauty service markets through social commerce that had effects on the consumer satisfaction were price, service, convenience, and interest, but no relationship was found with interaction. We can predict that consumers buy not based on community activities among buyers or purchasing comments of others, but rather his/her own subjective thoughts and opinions about the services. As the result of repurchasing intention according to purchasing factors, affecting sub-factors were price, service, and convenience. Repurchasing intention is an positive response that reflects satisfactions. Since low price, satisfaction on the service, and convenience for busy modern people should be met, repurchasing intentions are not affected by interest, but rather systematic and professional service. Also, higher satisfaction on service raises repurchasing intention. In this study, it is clear that not only purchasing factors through social-commerce effect the satisfaction and the repurchasing intention, but also consumer satisfaction mediates partly purchasing factors and the repurchasing intention. And as sub-factors of purchasing factors, price, service, or convenience are more important to the consumer satisfaction than community or replies activities. Thus differentiated and professional customer service, the establishment and enhancement of trendy marketing should improve long term repurchasing intentions. This will lead to the increasing revenue of personal-shop and the developments of beauty markets, so strengthening product sourcing and promotion suitable for mobile shoppers are essential.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.255-267
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• 2012

High Internet usage and the public's keen interest on health have influenced the health care system, and a potential value of the online health information and medical consultation market is immense. This study reveals results from data collected from Seoul residents in the age group of 20s in 2011. Out of 499 respondents, 75.2% answered that they used online health information; however, only 7.2% answered that they have used online medical consultation services. Findings on the purposes of using online medical consultation included treatments of symptoms(33.6%) and self-disciplines of one's health(19.5%). Mostly used Websites for health information search included search engines and blogs, but respondents preferred to use government sites and hospital sites in the future. When choosing a medical consultation, respondents preferred a certain website for different reasons including creditability of the consultant(23.7%), creditability of the organization(23.7%), rapid responses(21.2%), and more. Overall, although health information search via web is being highly utilized among people in their 20s, utilization of online medical consulting is not. Thus, promotion efforts to increase awareness and utilization of online medical consulting based on the site selection criteria, type of personal information disclosure, and other preferences are essential. Also, creating websites meeting these criteria is important.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.59-69
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• 2015

Many users visit websites every day to perform information retrieval, shopping, and community activities. On the other hand, there is intense competition among sites which attempt to profit from the Internet users. Thus, the owners or marketing officers of each site try to design a variety of marketing strategies including cooperation with other sites. Through such cooperation, a site can share customers' information, mileage points, and hyperlinks with other sites. To create effective cooperation, it is crucial to choose an appropriate partner site that may have many potential customers. Unfortunately, it is exceedingly difficult to identify such an appropriate partner among the vast number of sites. In this paper, therefore, we devise a new methodology for recommending appropriate partner sites to each site. For this purpose, we perform site clustering from the perspective of visitors' similarities, and then identify a group of sites that has a number of common customers. We then analyze the potential for the practical use of the proposed methodology through its application to approximately 140 million actual site browsing histories.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.81-96
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• 2016

As the internet has become widespread and easy to access everywhere, it is common for people to search information via online search engines such as Google and Naver in everyday life. Recent studies have used online search volume of specific keyword as a measure of the internet users' attention in order to predict disease outbreaks such as flu and cancer, an unemployment rate, and an index of a nation's economic condition, and etc. For stock traders, web search is also one of major information resources to obtain data about individual stock items. Therefore, search volume of a stock item can reflect the amount of investors' attention on it. The investor attention has been regarded as a crucial factor influencing on stock price but it has been measured by indirect proxies such as market capitalization, trading volume, advertising expense, and etc. It has been theoretically and empirically proved that an increase of investors' attention on a stock item brings temporary increase of the stock price and the price recovers in the long run. Recent development of internet environment enables to measure the investor attention directly by the internet search volume of individual stock item, which has been used to show the attention-induced price pressure. Previous studies focus mainly on Dow Jones and NASDAQ market in the United States. In this paper, we investigate the relationship between the individual investors' attention measured by the internet search volumes and stock price changes of individual stock items in the KOSDAQ market in Korea, where the proportion of the trades by individual investors are about 90% of the total. In addition, we examine the difference between industries in the influence of investors' attention on stock return. The internet search volume of stocks were gathered from "Naver Trend" service weekly between January 2007 and June 2015. The regression model with the error term with AR(1) covariance structure is used to analyze the data since the weekly prices in a stock item are systematically correlated. The market capitalization, trading volume, the increment of trading volume, and the month in which each trade occurs are included in the model as control variables. The fitted model shows that an abnormal increase of search volume of a stock item has a positive influence on the stock return and the amount of the influence varies among the industry. The stock items in IT software, construction, and distribution industries have shown to be more influenced by the abnormally large internet search volume than the average across the industries. On the other hand, the stock items in IT hardware, manufacturing, entertainment, finance, and communication industries are less influenced by the abnormal search volume than the average. In order to verify price pressure caused by investors' attention in KOSDAQ, the stock return of the current week is modelled using the abnormal search volume observed one to four weeks ahead. On average, the abnormally large increment of the search volume increased the stock return of the current week and one week later, and it decreased the stock return in two and three weeks later. There is no significant relationship with the stock return after 4 weeks. This relationship differs among the industries. An abnormal search volume brings particularly severe price reversal on the stocks in the IT software industry, which are often to be targets of irrational investments by individual investors. An abnormal search volume caused less severe price reversal on the stocks in the manufacturing and IT hardware industries than on average across the industries. The price reversal was not observed in the communication, finance, entertainment, and transportation industries, which are known to be influenced largely by macro-economic factors such as oil price and currency exchange rate. The result of this study can be utilized to construct an intelligent trading system based on the big data gathered from web search engines, social network services, and internet communities. Particularly, the difference of price reversal effect between industries may provide useful information to make a portfolio and build an investment strategy.

• Journal of Science and Technology Studies
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• v.6 no.1 s.11
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• pp.31-52
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• 2006

This paper aims to analyze the rise and decline of Seattle Community Network(briefly SCN), an electronic community network based upon Seattle, U.S. from the perspective of 'social shaping of technology' theory rather than that of technological determinism That is, this paper focuses on the social processes of the evolution of SCN. And this paper considers SCN as one important element of the 'network society', a concept manufactured by Manuel Castells. SCN was built successfully over 10 years ago by some progressive local activists and volunteers. The main purpose of building SCN at that time was said to make local community stronger with the help of advanced information technology. This can be understood that the founders of SCN tried to shape the direction of network society development based on civil society's values including public access and commitment to democracy rather than those of private companies. After some years of successful working, however, SCN started to decline. The expansion of internet services and the booming of dot.com companies in the late 90's were the main factors that made SCN decline. In conclusion, it can be said that the socia-economic factors rather than technological factors gave birth to the rise and decline of SCN.

• Journal of Korea Multimedia Society
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• v.10 no.8
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• pp.1060-1067
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• 2007

We need various methods to develop MMORPG that is game genre which many users use among various game genre using Internet. Specially, to heighten efficiency of distributing work, Object-oriented language such as C++ is used and we need design techniques that can take advantage of enough object-oriented concept when making large-scale game. There is various pattern that can apply in software breakup design in GoF's design pattern for these design techniques. If you apply Observer pattern to Party System Design for forming community between game users, you can easily add new class and maintain system later. Party Play is one of the important system that is used to form game users' community in MMORPG games. The main point that must be considered in Party-Play-System is to divide evenly experience value and acquisition that is got by Party-Play among users according to each user's level. To implement Party Play System that consider maintenance of system, in this paper, we propose a method using GoF's Observer-Pattern, showing you that proposed method which has advantage to dynamic memory allocation and to virtual method call can be used usefully to change object to real time at program run and to add new class and to maintain system new.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.389-409
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• 2024

The purpose of this study is to identify the factors affecting female college students' behaviors in seeking reproductive health information on the Internet and to explore the relationships among these factors. Based on the Health Belief Model(HBM) and the Theory of Planned Behavior(TPB), perceived sensitivity, perceived severity, perceived benefit, perceived barriers, subjective norms, perceived behavioral control, and affective evaluation were defined as key factors, and the study was designed accordingly. An online survey was distributed to female college students in Seoul through the university student's online community, 'Everytime.' The results showed that the intention of female college students to seek reproductive health information via the Internet was associated with higher perceived sensitivity, perceived benefit, and subjective norms, and lower perceived barriers. There were statistically significant differences between groups in terms of sexual experiences, experience with reproductive system disorders, and the level of health interest. We believe that this research outcome will contribute to assessing the level of awareness regarding reproductive health among female college students, thereby aiding in the development of online health information literacy education or related service programs by university libraries, health institutions, and similar entities targeting female college students.

• The Journal of Information Systems
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• v.26 no.1
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• pp.21-51
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• 2017

Recently there have been an increasing number of companies suffering a negative brand image in the major media. Thompson et al. (2006) defined this as "$Doppelg{\ddot{a}}nger$ Brand Image." The images mentioned above have been created and propagated on Internet communities, which are one of the major paths of online spreading. This study will empirically analyze the effect of each $Doppelg{\ddot{a}}nger$ brand image on the customer's brand attitude, using a text-mining method focusing on "A company"'s case. This study will also cover the change in customer brand attitudes related to the company's correspondence in a situation in which the $Doppelg{\ddot{a}}nger$ brand image exists. In addition, the study will determine the presence of a priming effect after the spread of the $Doppelg{\ddot{a}}nger$ brand image. To that end, we collected 974 comments from 94,889 posts and A's official blogs related to A from B community, the largest automobile community site in Korea. Through this investigation, we obtained the following results. First, there was a significant difference in the ratio of negative sentiment of internet community before and after $Doppelg{\ddot{a}}nger$ brand image. Second, with regard to the topic modeling, the ratio of articles including negative topics increased and the other article ratio decreased over time. Finally, we found that there is a priming effect about negative brand image of "A company."

• Journal of the Korean Society for Library and Information Science
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• v.47 no.2
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• pp.265-291
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• 2013

Because of the increased interest in health, medical care, and wellness, the utilization of health-related information resources, especially those found on the Internet, has been rapidly increasing. In addition, despite encountering an increasing number of health and medical-related reference questions in public libraries, public librarians feel limitations in their ability to perform these types of reference services. Therefore, this study proposed the cooperative network system model for vitalizing CHI Services, meaning that all the related agencies, including public libraries, medical libraries, medical institutions, and the health and medical community collaboratively provide consumer health information service. This study presented in detail the key elements of the cooperation model, the subject of cooperation, target sources for cooperation, the content of cooperation, operations of CHI-providing sites, operations and roles of Cooperation Centers, and directions for cooperating with commercial institutions.