• 한국콘텐츠학회논문지
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• 제21권2호
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• pp.652-666
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• 2021

유튜브 채널에서 중국 관련 코로나19 정보의 확산과정을 네트워크 분석을 통해 알아봤다. 중국 관련 코로나19 정보를 사실 정보와 허위정보로 구분했고, 사실 정보는 긍정적, 부정적으로 분류했다. 네트워크 분석결과 부정적 정보와 허위정보가 많았고, 긍정적 정보는 가장 적었다. 허위정보 중에서 우한연구소 유출설 관련 동영상이 많았고, 유전자 조작설 관련 동영상의 조회 수와 매개 중심성 평균이 가장 컸다. 언론사 채널은 허위정보에 대한 팩트 체크보다 있는 그대로 전달하는데 그쳤다. 중국 관련 코로나19 동영상 중 부정적 정보와 허위정보가 많았다는 것은 중국 관련 비판적이거나 자극적인 내용이 유튜버의 관심을 끌었다는 것을 보여준다. 결론적으로 유튜브 채널의 허위정보는 이용자들이 유사한 주제의 동영상을 시청하게 하는 확산 효과를 가져왔다.

• 복식문화연구
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• 제21권3호
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• pp.440-451
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• 2013

Because of the e-shopping market consumers now have diverse options to choose when placing their orders, and find it easy to obtain the required information through the Internet. Especially, for consumers, product reviews posted on an e-tailer's website have become more important criteria than such information available elsewhere. Hence, this study investigated the influence of the direction and evaluative contents of online reviews on consumer attitudes toward clothing products. Four types of online reviews based on direction (positive/negative) and evaluative content in review information (objective/subjective) were used in the experimental design. Further, stimulus reviews were developed. Credibility, usefulness of reviews, product preference, and purchase intention were the measured dependent variables in each of the four situations of online review presentations. The results indicated that, overall, positive and objective online reviews resulted in a higher level of consumer attitude. The content in these reviews had a relatively stronger influence than the direction on attitudes toward online reviews. Overall, objective reviews generated a higher level of credibility and usefulness of information than subjective reviews. Regarding subjective reviews, negative information was more related to credibility, whereas positive information was more related to usefulness. Further, positive information had a higher influence than negative information on consumer attitudes.

• 한국산업정보학회논문지
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• 제27권2호
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• pp.163-176
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• 2022

비즈니스 생태계의 불확실성이 증가함에 따라 공급사슬 내에서 야기는 되는 리스크의 종류도 매우 복잡하고 다양해 지고 있다. 특히 최근 정보통신기술의 발달로 기존 기업이 직면하던 전통적인 공급사슬 리스크 요인 이외에 새로운 리스크 요인을 고려할 필요가 있다. 대표적으로 소셜 미디어를 통한 부정적 구전을 예를 들 수 있다. 이에 본 연구는 대표적인 소셜 미디어인 유튜브(YouTube) 통해 제조 기업을 대상으로 부정적 구전의 파급력에 대해서 연구하였다. 보다 구체적으로는 부정적 구전의 제작자의 사회적 자본이 부정적 구전의 파급력에 어떤 영향을 주는 살펴보고, 그 과정에서 동영상의 부정적 감정이 어떤 역할을 하는지 연구하였다. 그 결과 부정적 구전 생성자의 사회적 자본은 부정적 구전의 규모와 속도에 영향을 주며, 나아가 동영상의 부정적 감정 단어는 동영상 제작자의 사회적 자본과 부정적 구전의 규모에 있어 조절효과를 보였다.

• 한국조경학회지
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• 제31권4호
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• pp.49-56
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• 2003

This study is to find physiological effects of acoustic information on landscape preference. Both the volume and the rate of $\alpha$-waves and $\beta$-waves were used to measure the effects in the study. The result of this study are summarized as follows: The outputting amount of $\alpha$-waves are sorted by different types of visual and acoustic factors. The results show that acoustic factors interacted with visual factors. That is, although visual factors are positive, the volume of $\alpha$-waves depends upon the character of acoustic factors; positive acoustic factors produce more $\alpha$-waves than negative or neutral(soundless) acoustic factors. Also the volume of $\alpha$-waves increase in the case of positive acoustic factors even if there is the same negative visual information. The results show that the volume of $\alpha$-waves increase without connecting with the types of visual factors. The volume of $\beta$-waves are largely reduced when visual stimulus is positive and soundless stimulus is provided. On the other hand, they generally increase when both visual and acoustic stimuli are negative, which fosters extremely unstable, tense and upset stress. The rate of $\alpha$-waves increase according to supplying positive acoustic factors in the opposed visual factors. The rate of wave(shouldn't be $\alpha$-waves\ulcorner) is high if both visual and acoustic factors are positive, so it is the most comfortable and causes no stress. Preference is the lowest if visual and acoustic factors are negative, but a -waves are conspicuously low in positive visual and negative acoustic factors.

• 한국정보시스템학회지:정보시스템연구
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• 제32권3호
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• pp.151-164
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• 2023

Purpose This study aims to analyze the current status of consumer awareness on Internet banks by conducting a full investigation and collecting user opinions presented on Google Play. After cateogorizing the current dissatisfaction, we would like to present not only the direction of the Internet bank service of but also the improvements of the platform. Design/methodology/approach Using opinion mining, subjectivity analysis, polarity analysis, and polarity information analysis of comments were conducted step by step to extract negative and positive keywords. The extracted keywords analyzed the weights of the frequently appearing positive and negative keywords using the TF-IDF model. Based on previous studies that negative information is more sensitive to positive information, we tried to confirm the connection, proximity, and mediation of negative keywords. Semantic Network Analysis (SNA) was used to visualize the connection relationship between the negative comment keywords of the three Internet banks. Findings Domestic Internet banks such as Kakao Bank, K-Bank, and Toss Bank have attracted a lot of attention even before they were established, and after establishment, they have secured a wide range of users through platforms that are completely different from existing banks. This study found out that the convenience of the app affects the opening and transaction of non-face-to-face accounts, which are characteristics of domestic Internet banks, which also affects the bank's business strategy. In addition, this study shows that the business characteristics of the company can be identified.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.367-379
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• 2002

We introduce a new concept of $\theta$ conditionally independent and positive and negative dependence of bivariate stochastic processes and their corresponding hitting times. We have further extended this theory to stronger conditions of dependence similar to those in the literature of positive and negative dependence and developed theorems which relate these conditions. Finally we are given some examples to illustrate these concepts.

• 재무관리논총
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• 제2권2호
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• pp.315-344
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• 1995

The relationship of information flow and market price formation are central to the basic tenets of financial economics. Whereas information is usually treated as being either public or private(monopolistic), most empirical studies focus on the price effects of public announcements. More recent research has centered more on the role of private information, such as insider trading, in efficient pricing and whether such trading increases investor welfare. Typically, 'insider trading' refers to an officer that trades in his/her company's shares. Insider trading, however, also refers to anyone who generates private, albeit costly, information concerning a stock's fundamental value. Normally, such insider activity is more difficult to ascertain. One way in which negative information is revealed is through short-selling activity, especially the monthly short-interest positions reported by the national stock exchanges. Diamond and Verrecchia(1987) provide a theoretical paradigm that predicts a negative price adjustment upon announcement of n company's monthly short interest, if the short interest displays an unusual increase and is correlated with negative information that is not yet public. Empirical studies of the short-run, negative price effect predicted by Diamond and Verrecchia find mixed results. One explanation is that the time period studied is too short for the market to absorb the informational content of these announcements. One reason is that these announcements are an ambiguous signal that requires more individuals and time to collect and act on the same information before full revelation occurs or before the implicit information becomes publicly known. This 'long delayed reaction' also serves as a motivation for related research on the wealth effect of mergers, share repurchases, and initial equity offerings in which long-run performance differs from the initial, short-run reaction to such announcements or offerings.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.280-284
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• 2003

Most of Online Shopping Mall takes Business-Customer interaction through E-mails and bulletin boards. Especially bulletin boards provide Business-Customer interaction and also Customer-Customer interaction. This paper, by experiment, aims to identify how to deal negative messages in Online Shopping Malls to increase customer trust and loyalty when negative messages show up the bulletin board. Types of dealing negative message were classified (1)Leaving, (2)Deleting, (3)Proper Responding, and the experiment resulted in (1)Leaving decrease customer trust and loyalty, (2)Deleting and (3)Proper Responding increase customer trust and loyalty. But (2)Deleting appeared to have more influence on customer trust and loyalty than (3)Proper Responding. Based on this result, to increase customer trust and loyalty, Online Shopping Mall should correspond to negative messages immediately. And it is necessary that control of negative messages adequately, because effects of negative information appear bigger than effects of interactions.

• Structural Monitoring and Maintenance
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• 제5권1호
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• pp.15-38
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• 2018

Negative stiffness dampers (NSDs) have been proven an efficient solution to vibration control of stay cables. Although previous studies usually assumed a linear negative stiffness behavior of NSDs, many negative stiffness devices produce negative stiffness with nonlinear behavior. This paper systematically evaluates the impact of nonlinearity in negative stiffness on vibration control performance for stay cables. A linearization method based on energy equivalent principle is proposed, and subsequently, the impact of two types of nonlinear stiffness, namely, displacement hardening and softening stiffness, is evaluated. Through the Hilbert transform (HT) of free vibration responses, the effects of nonlinear stiffness of an NSD on the modal frequencies, damping ratios and frequency response functions of a stay cable is also investigated. The HT analysis results validate the accuracy of the linearization method.

• 한국정보시스템학회지:정보시스템연구
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• 제28권4호
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• pp.271-291
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• 2019

Purpose The purpose of this study is to propose a methodology to derive positive keywords and negative keywords through deep learning to classify reviews into positive reviews and negative ones, and then refine the results of topic modeling using these keywords. Design/methodology/approach In this study, we extracted topic keywords by performing LDA-based topic modeling. At the same time, we performed attention-based deep learning to identify positive and negative keywords. Finally, we refined the topic keywords using these keywords as filters. Findings We collected and analyzed about 6,000 English reviews of Gyeongbokgung, a representative tourist attraction in Korea, from Tripadvisor, a representative travel site. Experimental results show that the proposed methodology properly identifies positive and negative keywords describing major topics.