• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.263-271
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• 2022

The purpose of this study is to identify the degree of participation and the impact of social media sports contact motivation on sports activities. In order to clarify the purpose of this study, a total of 300 students from 150 male and 150 female university students in Gwangju and Jeonnam provinces in 2020 were selected by the convenience sampling method. The survey tool used to achieve the purpose of this study is the questionnaire method. Therefore, the questionnaire, which has already been verified for reliability and validity in domestic and foreign previous studies, was re-quoted, modified, or supplemented for the purpose of this study. For data processing, SPSS Windows 20.0 Version was used. For specific statistical analysis, frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis were performed according to the purpose of analysis. The results obtained through these results are as follows. First, it was found that the contact motivation for social media sports partially affected the degree of participation in social media sports. Second, it was found that social media sports contact motivation has a partial influence on sports participation. Third, the degree of social media sports participation was found to have a partial influence on sports participation.

• Journal of Information Science Theory and Practice
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• 제9권2호
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• pp.18-32
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• 2021

Social media has become a popular source of information around the world. Previous studies explored different trends of social media news consumption. However, no studies have focused on Bangladesh to date, where social media penetration is very high in recent years. To fill this gap, this research aimed to understand its popularity trends during the period. For that reason, this work analyzes 97.67 million page likes and 3.48 billion interaction data collected from nine Bangladeshi news media's Facebook pages between December 2016 to November 2020. The analysis shows that the growth rates of page likes and interaction rates declined during this period. It suggests that the media's Facebook pages are gradually losing their popularity among Facebook users, which may have two more interpretations: Facebook's aggregate appeal as a news source is decreasing to users, or Bangladeshi media's appeal is eroding to Facebook users. These findings challenge the previous results, i.e., Facebook's demand as a news source is increasing with time. We offer four explanations of the decreased popularity of Facebook's news: information overload, exposure to incidental news, users' selective exposure and different aims of using Facebook, and conflict between media agendas and users' interests. Some theoretical and practical significance of the results has been discussed as well.

• 한국언론정보학보
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• 제31권
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• pp.113-165
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• 2005

이 글은 매체산업의 계급론을 복권하기 위한 시도이다. 한국사회가 계급적 질서에 따라 구성된 만큼 매체산업도 계급적 이해관계를 반영할 것인지를 입증하기 위해 매체 소유 집중, 경영과 편집권 지배, 내용 통제 등에 대하여 분석하였다. 분석 결과 매체산업은 재벌기업, 종교자본, 외국자본, 정보 통신자본 등 여러 형태의 자본이 매체산업에 진출하여 구조를 변동시키고 있다. 거대 자본에 의한 산업 지배는 언론의 독립적 기반을 위협하며, 매체 생산물도 자본의 압박에 따라 더 보수화, 상업화되는 추세이다. 그런데 전통적인 관점에서 보면 매체는 계급간, 계층간 설득과 타협의 장으로서 가치가 있는 것으로 이해하고 있지만, 실제로는 그렇지 못하다. 매체는 거대한 자본을 중심으로 집중되고, 지배 블록을 단결시키는 역할을 한다. 매체산업과 연관된 자본이나 정치 세력은 한 몸이 되어 국가 권력과 여론을 좌우한다. 그 정점에는 삼성그룹이 있다는 점을 이 연구에서 밝혔다.

• 한국콘텐츠학회논문지
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• 제19권11호
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• pp.153-167
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• 2019

이번 연구는 지상파 TV, 중앙일간지, 지역지, 등 총 37개의 보도 매체의 2019년 강원도 대형 화재 보도를 분석하여 미디어의제를 파악하고 매체별, 시기별 미디어의제를 비교, 분석하였다. 토픽모델링 알고리즘과 의미망 분석을 활용한 연구는 네트워크 미디어의제의 구성을 분석하고 QAP 상관분석을 활용하여 매체간 의제 설정 효과도 검증하였다. 분석 결과, 2019년 강원도 화재 보도에서는 이재민 지원과 정치권 갈등 속성을 중심으로 다소 선정적인 미디어의제가 형성되었고 시기별, 매체별 미디어의제 간 유사성이 높은 것으로 나타났다. 이번 연구는 네트워크 의제설정 모델을 토대로 의미망 분석 도구를 활용해 대량의 기사를 분석하면서 기존의 빈도분석과는 구별되는 조사방법론을 구현한 연구라는 점에서 또 하나의 의미를 가질 수 있다.

• Asian Journal for Public Opinion Research
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• 제5권4호
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• pp.285-301
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• 2018

There have been many studies that applied a data-driven analysis method to social media data, and some have even argued that this method can replace traditional polls. However, some other studies show contradictory results. There seems to be no consensus as to the methodology of data collection and analysis. But as social media-based election research continues and the data collection and analysis methodology keep developing, we need to review the key points of the controversy and to identify ways to go forward. Although some previous studies have reviewed the strengths and weaknesses of the social media-based election studies, they focused on predictive performance and did not adequately address other studies that utilized social media to address other issues related with public opinion during elections, such as public agenda or information diffusion. This paper tries to find out what information we can get by utilizing social media data and what limitations social media data has. Also, we review the various attempts to overcome these limitations. Finally, we suggest how we can best utilize social media data in understanding public opinion during elections.

• International Journal of Contents
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• 제15권1호
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• pp.10-24
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• 2019

This study applied network agenda-setting theory to analyze the impact of the agenda-setting function of the media on certain issues by focusing on the agenda at the center of controversy, 'Creative Economy'. To this end, the study extracted the data referred to creative economy in the media and SNS from 1 January 2008 to 31 December 2014, and analyzed the data using the network analysis program UCINET and the Korean language analysis program Textom. The results of the present study show that, during the period under former President Lee (2008-2011), the media's creative economy agenda-setting function did not exert a significant impact on the agenda-setting within SNS. However, from 2012 when the government of former President Park Geun-hye had started, the agenda-setting function of the media starts to show increasingly strong influence on the agenda cognition in SNS. The central words and sub-words configuration forming the center of the semantic network moved in the direction of a high correlation, in addition to the gradually increasing correlation based on QAP correlation analysis. In 2014, the semantic networks of the media and SNS bore a close resemblance to each other, while the shape of networks and sub-words structure also had a high level of similarity.

• ETRI Journal
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• 제26권3호
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• pp.203-217
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• 2004

This paper presents a method and architecture to analyze streaming media and multimedia conferencing traffic. Our method is based on detecting the transport protocol and port numbers that are dynamically assigned during the setup between communicating parties. We then apply such information to analyze traffic generated by the most popular streaming media and multimedia conferencing applications, namely, Windows Media, Real Networks, QuickTime, SIP and H.323. We also describe a prototype implementation of a traffic monitoring and analysis system that uses our method and architecture.

• 인터넷정보학회논문지
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• 제17권2호
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• pp.97-107
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• 2016

본 연구는 개방형 네트워킹 사이트라고 할 수 있는 페이스북과 카카오스토리 이용자들을 대상으로 소셜미디어 이용과 이용동기, 그리고 소셜미디어 신뢰를 중심으로 사회자본(연결적 사회자본과 결속적 사회자본) 형성에 영향을 미치는 결정요인을 살펴보았다. 이를 위해 대학생 261명을 대상으로 설문조사를 실시하여 IBM SPSS 21 프로그램과 IBM AMOS 21 프로그램을 적용, 탐색적 요인분석과 확인적 요인분석, 상관관계 분석, 신뢰도 분석, 구조모형을 기반으로 한 경로분석 등을 수행하여 주요 결과를 도출하였다. 본 연구의 결과를 제시하면 다음과 같다. 첫째, 소셜미디어와 연결적 사회자본을 살펴보았다. 그 결과 소셜미디어 이용과 소셜미디어 이용동기중 즐거움/추억, 그리고 소셜미디어 신뢰가 연결적 사회자본에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 둘째, 소셜미디어와 결속적 사회자본을 살펴보았다. 그 결과, 소셜미디어 이용동기 중 정보/교류, 소셜미디어 신뢰가 결속적 사회자본에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다.

• Journal of Information Processing Systems
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• 제14권4호
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• pp.904-915
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• 2018

We demonstrate how social media content can be used to predict the unemployment rate, a real-world indicator. We present a novel method for predicting the unemployment rate using social media analysis based on natural language processing and statistical modeling. The system collects social media contents including news articles, blogs, and tweets written in Korean, and then extracts data for modeling using part-of-speech tagging and sentiment analysis techniques. The autoregressive integrated moving average with exogenous variables (ARIMAX) and autoregressive with exogenous variables (ARX) models for unemployment rate prediction are fit using the analyzed data. The proposed method quantifies the social moods expressed in social media contents, whereas the existing methods simply present social tendencies. Our model derived a 27.9% improvement in error reduction compared to a Google Index-based model in the mean absolute percentage error metric.

• International Journal of Internet, Broadcasting and Communication
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• 제14권3호
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• pp.213-221
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• 2022

The purpose of this study is to investigate the structural relationship between media engagement, viewing immersion, viewing satisfaction, and loyalty of e-sports viewers. In order to achieve the purpose of this study, a survey was conducted on 300 college students with experience in watching e-sports in Seoul, Gyeonggi-do, and Chungnam. Data processing was done with SPSS 26 for frequency analysis, Cronbach's α analysis. Also, AMOS 13 was used for confirmatory factor analysis and structural equation model analysis. We have the following results. first, among the sub-factors of media engagement, functional engagement and communal engagement had a significant effect on viewing commitment. Second, among the sub-factors of media engagement, emotional engagement had a significant effect on viewing satisfaction. Third, it was found that viewing commitment and viewing satisfaction had a significant effect on loyalty. From the results of this study, it can be seen that the media engagement of e-sports viewers affects loyalty through viewing commitment and viewing satisfaction.