• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.652-666
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• 2021

This study explores diffusion of information on Covid-19 relating to China on You Tube. For this, information on Covid-19 relating to China was divided into factual information and disinformation, with factual information being categorized into positive and negative information. According to network analysis, there are lots of negative information and disinformation. On the contrary positive information is rare. There are lots of videos about rumor on the leak of Wuhan institute among disinformation. Rumor on the manipulation of genes has the highest average value of view count and betweenness centrality. Main stream youtube channel has only role of messenger which delivers messages as it is instead of fact-checking on disinformation. The fact which there are much more negative information or disinformation among videos about Covid-19 relating with China shows that Youtube users skewed toward negative information and disinformation than positive ones. In summary, disinformation on youtube brings spreadable effect by making user watch similar contents.

• The Research Journal of the Costume Culture
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• v.21 no.3
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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.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.163-176
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• 2022

As the business ecosystem has become more uncertain, the sources of supply chain risk have also been becoming more diverse. In particular, due to the development of informational technology in recent years, firms need to consider the emerging supply chain risk sources as well as traditional supply chain risk sources. A typical example is negative word-of-mouth by social media. Therefore, we investigated the virality of negative word-of-mouth on manufacturing firms by using YouTube as a representative social media. More specifically, we investigated how the social capital of the video creator influences the virality of negative word-of-mouth and how the emotional tone of the video affects the virality of negative word-of-mouth. In conclusion, the social capital of the video creator influenced the scale and speed of negative word-of-mouth. Furthermore, negative emotion words moderated the relation between the social capital of the video creator and the scale of negative word-of-mouth.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.4
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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.

• The Journal of Information Systems
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• v.32 no.3
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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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• v.9 no.2
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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.

• The Korean Journal of Financial Studies
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• v.2 no.2
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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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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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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• v.5 no.1
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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.

• The Journal of Information Systems
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• v.28 no.4
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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.