• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.15-29
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• 2024

With recent advances in information and communication technology, YouTube has become a powerful online space for users to create and share content about their interests and experiences, creating new cultural phenomena. In particular, there needs to be more research on social media in the manufacturing sector because, unlike distribution and retail, there has been relatively little direct contact with consumers. YouTube can positively affect firms' performance by promoting products and brands. On the other hand, it can also cause risks, such as production disruption due to rumors or misinformation. Thus, it is necessary for firms to examine how information about an electric automobile defects spreads on YouTube according to the number of subscribers and views through statistical network analysis.

• Asian Journal for Public Opinion Research
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• v.12 no.1
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• pp.53-74
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• 2024

The proliferation of health misinformation gained momentum amidst the outbreak of the novel coronavirus disease 2019 (COVID-19). People stuck in their homes, without work pressure, regardless of health concerns towards personal, family, or peer groups, consistently demanded information. People became engaged with misinformation while attempting to find health information content. This study used the content analysis method and analyzed 1,154 misinformation stories from four prominent signatories of the International Fact-Checking Network during the pandemic. The study finds the five main categories of misinformation related to the COVID-19 pandemic. These are 1) the severity of the virus, 2) cure, prevention, and treatment, 3) myths and rumors about vaccines, 4) health authorities' guidelines, and 5) personal and social impacts. Various sub-categories supported the content characteristics of these categories. The study also analyzed the emotional valence of health misinformation. It was found that misinformation containing negative sentiments got higher engagement during the pandemic. Positive and neutral sentiment misinformation has less reach. Surprise, fear, and anger/aggressive emotions highly affected people during the pandemic; in general, people and social media users warning people to safeguard themselves from COVID-19 and creating a confusing state were found as the primary motivation behind the propagation of misinformation. The present study offers valuable perspectives on the mechanisms underlying the spread of health-related misinformation amidst the COVID-19 outbreak. It highlights the significance of discerning the accuracy of information and the feelings it conveys in minimizing the adverse effects on the well-being of public health.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.614-635
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• 2020

This study aims at understanding gender difference in trust and the related factors affecting the intention to purchase voice speakers VS. VS are one of the innovations that are emerging at a fast pace in the market. Although it seems to be widely embraced by both genders, people do not intend to use them in some cases due to a lack of trust and the rumors circling these types of technologies. Nevertheless, there are particular barriers to the acceptance of VS technology between females and males due to unfamiliarity with the effective components of such technologies. Therefore, assuming that increasing the knowledge-based familiarity with an effective technique is essential for accepting it. So far, only little is known about VS and its concepts to increase the familiarity and, as a consequence, the acceptance of effective technology. Technology adoption in gender has been studied for many years, and there are many general models in the literature describing it. However, having more customized models for emerging technologies upon their features seems necessary. This study is based on Theory of Reasoned Action and trust-based acceptance which provides a background for understanding the relationships between beliefs, attitude, intentions, and subject norms and how it's affecting gender trust in VS. The statistical analysis results indicate that perceived system quality and perceived interaction quality have stronger influences on trust for males, while privacy concern and emotional trust have stronger influences on trust for females with the intention of purchase for both genders. Our study can be beneficial for future research in the areas of Perceived risk and Perceived utility and behavioral intention to use and human-technology interaction and psychology.

• Asian-Australasian Journal of Animal Sciences
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• v.27 no.1
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• pp.101-114
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• 2014

While there are persistent rumors that the consumption of goat meat dishes increases blood pressure, there is no scientific evidence to support this. Two experiments were conducted to clarify whether or not blood pressure increases in conjunction with the consumption of goat meat dishes. In experiment 1, 24 Dahl/Iwai rats (15 weeks old, body weight $309.3{\pm}11.1$ g) were evenly separated into 4 groups. The control group (CP) was fed a diet containing 20% chicken and 0.3% salt on a dry matter basis. The goat meat group (GM) was fed a diet containing 20% goat meat and 0.3% salt. The goat meat/salt group (GS) was fed a diet containing 20% goat meant and 3% to 4% salt. The Okinawan mugwort (Artemisia Princeps Pampan)/salt group (GY) was fed a diet containing 20% goat meat, 3% to 4% salt and 5% of freeze-dried mugwort powder. The experiment 1 ran for a period of 14 weeks during which time the blood pressure of the animals was recorded. The GS, and GY groups consumed significantly more water (p<0.01) than the CP and GM groups despite the fact that their diet consumption levels were similar. The body weight of animals in the CP, GM, and GS groups was similar while the animals in the GY group were significantly smaller (p<0.01). The blood pressure in the GM group was virtually the same as the CP group throughout the course of the experiment. In contrast, while the blood pressure of the animals in the GS and GY group from 15 to 19 weeks old was the same as the CP group, their blood pressures were significantly higher (p<0.01) after 20 weeks of age. The GY group tended to have lower blood pressure than the GS group. In experiment 2, in order to clarify whether or not the increase in blood pressure in the GS group and the GY group in experiment 1 was caused by an excessive intake of salt, the effects on blood pressure of a reduction of salt in diet were investigated. When amount of salt in the diet of the GS and GY group was reduced from 4% to 0.3%, the animal's blood pressure returned to normotensive. These results indicate that, as in the case of chicken consumption, prolonged consumption of goat meat does not cause increased blood pressure, rather the large amount of salt used in the preparation of goat meat dishes is responsible for the increase in blood pressure.

• Strategy21
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• s.34
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• pp.93-127
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• 2014

During the four years following the sinking of the Cheonan frigate in 2010, the South Korean public opinion has seen changes in four basic ways. First, public polls with respect to the cause of the sinking show that 70% of the people consider North Korea as the culprit, while 20% maintain that it was not an act carried out by North Korea. Second, the opinions relative to the cause of the incident seem to vary according to age difference, generational difference, and educational difference. From 2011, people in their 20s showed 10% increase in regarding North Korea as the responsible party. People in their 30s and 40s still have a tendency not to believe the result of the investigation carried out by the combined military and civilian group. Third, the most prominent issue that arose aftermath of the Cheonan incident is the fact that political inclination and policy preference are influencing the scientific determination of the cause. In other words, scientific and logical approach is lacking in the process of determining the factual basis for the cause. This process is compromised by the inability of the parties concerned in sorting out what is objective and what is personal opinion. This confused state of affairs makes it difficult to carry on a healthy, productive debate. Fourth, rumors, propaganda, and disinformation generated by pro-North Korea Labor Party groups in the internet and SNS are causing considerable impact in forming the public opinion. Proposed Strategy 1. The administration can ascertain public trust by accurately determining the nature of the provocation based on accurate information in the early stages of the incident. 2. Education in scientific, logical, rational methodologyis needed at home, school, and workplace in order toenhance the people's ability to seek factual truths. 3. In secondary education, the values of freedom, human rights, democracy, and market economy must be reinforced. 4. It is necessary for the educational system to teach the facts of North Korea just as they are. 5. Fundamental strength of free democratic system must be reinforced. The conservative, mainstream powers must recognize the importance of self-sacrifice and societal duties. The progressive political parties must sever themselves from those groups that take instructions from North Korea's Labor Party. The progressives must pursue values that are based on fundamental human rights for all. 6. Korean unification led by South Korea is the genuine means to achieve peace in a nuclear-free Korean peninsula. The administration must recognize that this unification initiative is the beginning of the common peace and prosperity in the Far East Asia, and must actively pursue international cooperation in this regard.

• Tuberculosis and Respiratory Diseases
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• v.43 no.5
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• pp.774-778
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• 1996

Pulmonary blastoma is a primary lung tumor consisting of a mixture of immature embryonal-like mensenchymal and epithelial components and in some areas resemble embryonal lung tissue of up to 3-4 months gestational age. The tumor was first described in 1945 by Barren and Barmard and again in 1952 by Barmard, who named it an embryoma of the lung which resembled fetal lung histologically, with glandular structures lined by non-ciliated epithelium and a surrounding stroma resembling mesenchyme. In 1961 Spencer renamed them Pulmonary blastoma as he believed they represented neoplasms similar in pathogenesis to nephroblastoma. The prognosis of these rumors is poor, and the clinical course is not readily predicted from histological appearance. Untill now, more than one hundred cases have been reponed in the literature in the word and there is no report in Korea. We report a case of biphasic pulmonary blastoma, which ruptured spontaneously, in a 31-year-old young man who was presented as sharp pain under the right subscapular area.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.187-204
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• 2016

Document classification based on emotional polarity has become a welcomed emerging task owing to the great explosion of data on the Web. In the big data age, there are too many information sources to refer to when making decisions. For example, when considering travel to a city, a person may search reviews from a search engine such as Google or social networking services (SNSs) such as blogs, Twitter, and Facebook. The emotional polarity of positive and negative reviews helps a user decide on whether or not to make a trip. Sentiment analysis of customer reviews has become an important research topic as datamining technology is widely accepted for text mining of the Web. Sentiment analysis has been used to classify documents through machine learning techniques, such as the decision tree, neural networks, and support vector machines (SVMs). is used to determine the attitude, position, and sensibility of people who write articles about various topics that are published on the Web. Regardless of the polarity of customer reviews, emotional reviews are very helpful materials for analyzing the opinions of customers through their reviews. Sentiment analysis helps with understanding what customers really want instantly through the help of automated text mining techniques. Sensitivity analysis utilizes text mining techniques on text on the Web to extract subjective information in the text for text analysis. Sensitivity analysis is utilized to determine the attitudes or positions of the person who wrote the article and presented their opinion about a particular topic. In this study, we developed a model that selects a hot topic from user posts at China's online stock forum by using the k-means algorithm and self-organizing map (SOM). In addition, we developed a detecting model to predict a hot topic by using machine learning techniques such as logit, the decision tree, and SVM. We employed sensitivity analysis to develop our model for the selection and detection of hot topics from China's online stock forum. The sensitivity analysis calculates a sentimental value from a document based on contrast and classification according to the polarity sentimental dictionary (positive or negative). The online stock forum was an attractive site because of its information about stock investment. Users post numerous texts about stock movement by analyzing the market according to government policy announcements, market reports, reports from research institutes on the economy, and even rumors. We divided the online forum's topics into 21 categories to utilize sentiment analysis. One hundred forty-four topics were selected among 21 categories at online forums about stock. The posts were crawled to build a positive and negative text database. We ultimately obtained 21,141 posts on 88 topics by preprocessing the text from March 2013 to February 2015. The interest index was defined to select the hot topics, and the k-means algorithm and SOM presented equivalent results with this data. We developed a decision tree model to detect hot topics with three algorithms: CHAID, CART, and C4.5. The results of CHAID were subpar compared to the others. We also employed SVM to detect the hot topics from negative data. The SVM models were trained with the radial basis function (RBF) kernel function by a grid search to detect the hot topics. The detection of hot topics by using sentiment analysis provides the latest trends and hot topics in the stock forum for investors so that they no longer need to search the vast amounts of information on the Web. Our proposed model is also helpful to rapidly determine customers' signals or attitudes towards government policy and firms' products and services.