• Journal of Sport and Applied Science
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• 제8권1호
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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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• 제11권3호
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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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• 제9권1호
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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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• 제24권2호
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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.

• 한국언론정보학보
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• 제81권
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• pp.225-271
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• 2017

본 논문은 KBS의 언론적 성격을 파악하기 위해 부동산 뉴스 생산 과정을 분석했다. 부동산 분야는 국민의 기본권인 동시에 경제적 사회적 이해가 충돌하는 공적 의제라는 점에서 연구 대상으로 선택했다. 분석 결과 첫째, KBS 뉴스룸은 뉴스 선별 과정에서 시민에 대한 봉사보다 시청률을 강조하는 경향을 나타냈으며 이는 단편적이고 피상적인 뉴스를 제공하는 원인이 되는 것으로 분석되었다. 둘째, KBS 뉴스룸은 정부 출입처의 보도 자료에 의존하는 취재 관행 속에서 정부 발표를 부각시키고 정부의 입장을 지지하는 역할을 수행하고 있었다. 셋째, KBS 뉴스는 1분 30초 이하의 도식적 뉴스 형식의 한계를 유지하고 있으며 정부 정책에 대한 감시와 다양한 여론 전달이라는 공익적 역할은 경시하고 있다. 결론적으로 KBS는 공영 방송을 표방하고 있지만 오랜 역사에 걸쳐 정착되어온 내부 관행을 통해 닫힌 공보 뉴스를 생산하고 있으며 국민 전체를 대표하고, 공적 의제에 대한 토론장의 제공과 다양한 목소리를 반영하기 보다는 정부를 홍보하고 특권층을 옹호하는 '공보 방송 모형'에 부합되는 것으로 해석되었다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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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.

• 대한간호학회지
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• 제23권1호
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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%).

• 응용통계연구
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• 제34권1호
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• pp.57-74
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• 2021

스마트폰과 태블릿PC 등의 스마트기기의 확산으로 모바일 기반 인터넷의 이용률이 눈에 띄게 증가하였으며, 이로 인해 모바일 인터넷의 영향력도 중요해졌다. 따라서 본 연구는 지난 일주일동안 모바일 인터넷을 통해 뉴스를 본 뉴스 이용자의 어떠한 특성들에 따라 정치, 경제, 사회적 주요 현안에 대한 의견을 형성할 때 모바일 인터넷의 영향을 받는지 파악하고자 수행되었다. 이를 위해 한국 언론 진흥재단의 2016년과 2017년의 언론수용자 의식조사의 자료를 분석에 사용하였다. 모바일 인터넷 뉴스 이용자의 성별, 연령, 학력, 가구소득, 뉴스 이용일수, 뉴스 이용시간, 언론사 애플리케이션 이용일수, 뉴스모음 애플리케이션 이용일수, 포털 이용일수, 언론사 공식 홈페이지 이용일수를 뉴스 이용자의 특성으로 지정하였다. 모바일 인터넷 의견 형성 여부에 뉴스 이용자의 어떠한 특성이 영향을 미치는지 알아보기 위해 다중 로지스틱 회귀를 적합하고 해석하였다.

• 한국언론정보학보
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• 제32권
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• pp.75-111
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• 2006

이 연구의 목적은 우리나라 언론 보도에서 정부 소스의 의제 속성에 의존하는 현상이 일어나고 있는가를 살펴본 다음, 정부의 중요정의자 기능과 관련하여 영향요인으로 거론되는 보도부정성, 보도이데올로기, 보도시기 등의 변수들이 가지는 영향력에 대해서 조사해 보는 것이다. 이러한 연구목적에 답하기 위해서 사회적인 논란을 불러왔던 행정수도 이전 관련 논의를 분석 케이스로 선택했으며, 이슈를 둘러싼 정부브리핑과 언론보도를 연구 텍스트로 선정하였다. 연구결과, 정부는 언론보도의 중요정의자 역할을 수행하는 것으로 나타났으며, 언론보도가 정부가 설정하는 이슈 속성의 테두리를 벗어나기 힘들다는 것을 보여주었다. 또한 언론의 부정성에도 불구하고 정부는 사안의 속성을 제한하는 중요정의자의 역할을 담당하고 있지만, 보도이데올로기나 사안의 갈등 시기 등의 영향권에서 자유롭지는 못하다는 것을 보여주고 있다.

• International Journal of Advanced Culture Technology
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• 제8권3호
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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.