• Journal of Sport and Applied Science
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• v.8 no.1
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• pp.11-17
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• 2024

Purpose: The purpose of the study was to understand a trend of esports in terms of gamers' and fans' perceptions toward esports using social big data. Research design, data, and methodology: In this study, researchers first selected keywords related to esports. Then a total of 10,138 buzz data created at twitter, Facebook, news media, blogs, café and community between November 10, 2022 and November 19, 2023 were collected and analyzed with 'Textom', a big data solution. Results: The results of this study were as follows. Firstly, the news data's main articles were about competitions hosted by local governments and policies to revitalize the gaming industry. Secondly, As a result of esports analysis using Textom, there was a lot of interest in the adoption of the Hangzhou Asian Games as an official event and various esports competitions. As a result of the sentiment analysis, the positive content was related to the development potential of the esports industry, and the negative content was a discussion about the fundamental problem of whether esports is truly a sport. Thirdly, As a result of analyzing social big data on esports and the Olympics, there was hope that it would be adopted as an official event in the Olympics due to its adoption as an official event in the Hangzhou Asian Games. Conclusions: There was a positive opinion that the adoption of esports as an official Olympic event had positive content that could improve the quality of the game, and a negative opinion that games with actions that violate the Olympic spirit, such as murder and assault, should not be adopted as an official Olympic event. Further implications were discussed.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.1-8
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• 2023

International public opinion on King Sejong Institute (KSI) is one of the most important factors influencing its overseas development as a worldwide non-profit educational service organization. China is one of the overseas strategic regions for KSI to spread the Korean Language. This paper intends to assess KSI's current public opinion environment in China. With content analysis of 87 news reports related to KSI in WeChat Official Accounts from 2014 to 2022, this paper attempts to assess the public opinion environment of KSI in China. In this paper, we show that the Chinese media' s current attention to KSI is generally lacking. The current reports focus more on activity narrations, and the main report factors come from local media and universities' oncampus news, which have relatively weak dissemination power and limited influences. On one side, the reasons are related to the characteristics of Chinese media, while the KSI establishment method in China also accounts for a lot. Therefore, it is necessary for the KSI to timely adjust the cooperation mode and publicity strategies according to the Chinese political and cultural characteristics to promote the sustainable development of KSI in China by continuously improving the public opinion environment.

• Asian Journal for Public Opinion Research
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• v.9 no.1
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• pp.48-82
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• 2021

This research article attempts to understand the current situation of fake news on social media in India. The study focused on four characteristics of fake news based on four research questions: subject matter, presentation elements of fake news, debunking tool(s) or technique(s) used, and the social media site on which the fake news story was shared. A systematic sampling method was used to select a sample of 90 debunked fake news stories from two Indian fact-checking websites, Alt News and Factly, from December 2019 to February 2020. A content analysis of the four characteristics of fake news stories was carefully analyzed, classified, coded, and presented. The results show that most of the fake news stories were related to politics in India. The majority of the fake news was shared via a video with text in which narrative was changed to mislead users. For the largest number of debunked fake news stories, information from official or primary sources, such as reports, data, statements, announcements, or updates were used to debunk false claims.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.113-123
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• 2024

Stock market news sentiment analysis (SA) aims to identify the attitudes of the news of the stock on the official platforms toward companies' stocks. It supports making the right decision in investing or analysts' evaluation. However, the research on Arabic SA is limited compared to that on English SA due to the complexity and limited corpora of the Arabic language. This paper develops a model of sentiment classification to predict the polarity of Arabic stock news in microblogs. Also, it aims to extract the reasons which lead to polarity categorization as the main economic causes or aspects based on semantic unity. Therefore, this paper presents an Arabic SA approach based on the logistic regression model and the Bidirectional Encoder Representations from Transformers (BERT) model. The proposed model is used to classify articles as positive, negative, or neutral. It was trained on the basis of data collected from an official Saudi stock market article platform that was later preprocessed and labeled. Moreover, the economic reasons for the articles based on semantic unit, divided into seven economic aspects to highlight the polarity of the articles, were investigated. The supervised BERT model obtained 88% article classification accuracy based on SA, and the unsupervised mean Word2Vec encoder obtained 80% economic-aspect clustering accuracy. Predicting polarity classification on the Arabic stock market news and their economic reasons would provide valuable benefits to the stock SA field.

• Korean journal of communication and information
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• v.81
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• pp.225-271
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• 2017

What is the basic nature of Korean public broadcasting system? This research explores this question through an analysis of KBS news coverage of the Korean housing market. This study spotlights the internal news production processes. In detail, this study investigates newsroom routines, such as news selection, news gatherings, and news production. As a result, this study reveals KBS can be classified as "Publicity Model" following reasons. First, KBS news selection process stresses higher viewer ratings for competitive market share and belittles public interests of serving the citizen. This caused KBS news to provide fragmented and truncated news information and to constrict high quality news of significant information for citizen. Second, KBS newsroom operates under the minimum staff resource to produce news programmes and has developed official source dependency as a routine for news gathering. Third, under the limits of report format, KBS news worked as a neutral deliverer of government message and failed to provide more detailed information and diverse viewpoints.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.143-146
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• 2008

This study aimed to suggest the way to support flood disaster older survivors with analysing how relief services and their human resources are used. For this study, the data was collected from 184 elderly aged over 65 years from Inje and Pyungchang in Gangwon province where lots of flood damages were done. The results of the study was elderly used human resources of public servant/military soldiers, volunteers as public or official services than as private resources. These results provide the evidence that public or official human resources are very helpful to control their emergency situations because there is hardly any use of their private human resources except for assistance from their family. And it shows that older people are willing to use services of life rescue and information services of their family members safety rather than basic supplies, medical care or medicine providing. With this findings we suggest informing the news of family safety including basic necessaries are highly signigicant. Thus, it is useful for disaster planners to understand building immediate life rescue and accurate information delivery systems. These are relevant to older adults' psychological well-being, thus, providing news of family safety including offering material resources are highly needed for older disaster survivors.

• Journal of Korean Academy of Nursing
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• v.23 no.1
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• pp.16-28
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• 1993

The purpose of this study was to identify the im-. age of nursing, that is, to see how nursing is viewed in newspapers. Articles about nursing from two Korean daily newspapers from Jan. 1, 1987 to Dec.31, 1991 were examined for subject, type, attitude and author-ship. The inter-rater reliability was 0.89(by The Holsti method). The major findings were as follows : 1. The total number of articles were 110. 2. As for the subjests matter, articles related to professional nursing activities appeared most frequently(29.6%) , there about labor issues and activity to promote nurses's job climate 19.4%, and about official activities of nursing 11.2%. 3. Commentary articles appeared most frequently(41.2%) , Other article forms were straight news(27. 1％), contribution(17.6％) and inter-views (10.6%). 4. Feature stories acounted for 62.4% and news articles for 37.6%. Most of the articles were of national interests(96.5%), the rest(3.5%) of news from abroad. 5. Articles favorable toward nursing accounted for 54.1%, neutral 28.2%, negative 17.6%. 6. Many articles were written by the reporters (66.3%).

• The Korean Journal of Applied Statistics
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• v.34 no.1
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• pp.57-74
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• 2021

The proliferation of smart devices (such as smart phones and tablet PCs) has led to a marked increase in the use of mobile-based internet. As a result, the influence of the mobile internet has become important to make opinions on social issues. This study explores the effects of mobile internet news users' characteristics on formation of opinions about major political, economic and social issues. We used the data from the media audience awareness survey by the Korean Press Foundation in 2016 and 2017 in this analysis. The characteristics of the news users are gender, age, education, income, news usage days, news usage hours, media application usage days, news gathering application usage days, portal usage days, and media official website usage days. These characteristics are known as possible explanatory variables for the mobile internet news users. Multiple logistic regressions were done with interpretation to know which covariates affect on formation of major opinion.

• Korean journal of communication and information
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• v.32
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• pp.75-111
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• 2006

The purpose of this study is to investigate the dependency level of news attributes on the government source and to measure up the impact of news negativity, press ideology, and the conflict level on the forementioned relationship in the context of the prime definer role of the government. The prime definer means that the official source such as the government may dominate media access and create media dependency on the issue and issue attributes. To test the research questions, the content analyses of both the government briefing materials and newspapers were conducted. Textual arguments regarding the new administrative capital were chosen for the analysis. The results showed that the government source played a prime definer role in framing issue attributes of news reporting. This prime definer role was not diminished even among the negative coverage about the chosen topic. However, press ideology and the conflict level influenced the relationship between news attributes and the government-released information in some extent.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.61-72
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• 2020

The fear of crime, discussed in the early 1960s in the United States, is a psychological response, such as anxiety or concern about crime, the potential victim of a crime. These anxiety factors lead to the burden of the individual in securing the psychological stability and indirect costs of the crime against the society. Fear of crime is not a good thing, and it is a part that needs to be adjusted so that it cannot be exaggerated and distorted by the policy together with the crime coping and resolution. This is because fear of crime has as much harm as damage caused by criminal act. Eric Pawson has argued that the popular impression of violent crime is not formed because of media reports, but by official statistics. Therefore, the police should watch and analyze news related to fear of crime to reduce the social cost of fear of crime and prepare a preemptive response policy before the people have 'fear of crime'. In this paper, we propose a deep - based news classification system that helps police cope with crimes related to crimes reported in the media efficiently and quickly and precisely. The goal is to establish a system that can quickly identify changes in security issues that are rapidly increasing by categorizing news related to crime among news articles. To construct the system, crime data was learned so that news could be classified according to the type of crime. Deep learning was applied by using Google tensor flow. In the future, it is necessary to continue research on the importance of keyword according to early detection of issues that are rapidly increasing by crime type and the power of the press, and it is also necessary to constantly supplement crime related corpus.