• Title/Summary/Keyword: SNS 분석

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Analysis of the effect of the mention in SNS on the result of election (SNS의 관심도가 선거결과에 미치는 영향 분석)

  • Choi, Eun-Jung;Choi, Sea-Won;Lee, Se-Yeon;Kim, Myhung-Joo
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.191-197
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    • 2017
  • As individual opinions are expressed and discussed through SNS, SNS is used as a new basis to estimate the direction of public opinion. This change also appears in election. So many voters state their views through SNS, so that candidates utilize it as a new space for communication. In this paper, positive mention in SNS were collected and analysed in the course of the election of Korean 20th Congressman, to understand how the mention on election in SNS affects the result of election. This result was compared with the traditional survey on public opinion, to find out which one more corresponds to the result. In conclusion, mention in SNS coincide more with the result of elelction than the traditional survey.

The Relationship among Marital Dissatisfaction, Loneliness and SNS Addiction - The Moderated Mediating Effect of Social Capital - (결혼불만족과 외로움, SNS중독의 관계 - 사회자본의 조절된 매개효과를 중심으로 -)

  • Kim, Nam Hee
    • Korean Journal of Social Welfare
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    • v.69 no.1
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    • pp.223-254
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    • 2017
  • This study was carried out to examine whether the moderated mediating effect of SNS addiction resulting from marital dissatisfaction and loneliness is influenced by gender or size and composition of social capital. 714 married men and women in their 20's to 40's were participated in this study. The data were collected by online research center with quota sampling based on demographical proportion. To analyze this research model, the moderated mediating effect utilizing structural equation was used. The results of this study were summarized as follows. First, it is verified that the loneliness moderated between marital dissatisfaction and SNS addiction. Since the relationship between independent and dependent variable is insignificant, comparison of competition model was able to determine if mediating effect was fully or partially shown. As a result, the complete mediated model was ultimately chosen because its various goodness-of-fit index including $x^2$ performed fairly well. Second, the mediating effect which moderates social capital size was presented in the mediated model between the marital dissatisfaction, loneliness and SNS addiction. Specifically, It implies that group who recognizes their social capital big recognizes the route and effect size more than that who considers their social capital small. And the moderated mediating effect depending on different type of social capital among the marital dissatisfaction and loneliness and between SNS addiction was substantiated. It implies that disequilibration of SNS social capital in face-to-face sphere and in online acted as a danger fact with respect to the marital dissatisfaction, loneliness and SNS addiction. The implications of these findings were discussed, and directions for future studies were also proposed.

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The Effects of Self-Efficacy and User's Cognitive Factors on Reuse Intention of SNS (SNS에 대한 자기효능감과 사용자 인지요인이 SNS 재사용 의도에 미치는 영향)

  • Lee, Hong-Jae;Choi, Moon-Hyeong;Park, Mi-Kyung
    • Journal of the Korean Society for information Management
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    • v.29 no.3
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    • pp.145-167
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    • 2012
  • The purpose of this study is to examine the causal relationships among self-efficacy, perceived usefulness, perceived ease of use, perceived playfulness, and reuse intention of SNS. The results of data analysis by structured equation model(SEM) indicate that self-efficacy significantly influences individual's perceived ease of use, perceived usefulness and perceived playfulness. Both perceived playfulness and perceived ease of use affects perceived usefulness on SNS. Individual's self-efficacy, perceived playfulness and perceived usefulness affect reuse intention of SNS. Based on the results, the theoretical and practical implications of this study are discussed.

Factors Influencing the Satisfaction of SNS (소셜네트워크서비스(SNS) 만족도에 영향을 미치는 요인)

  • Ko, Chang-Bae;Yoon, Jong-Soo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.207-208
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    • 2014
  • 본 논문에서는 문헌연구를 바탕으로 SNS가 갖추어야 하는 바람직한 요인으로서 시스템특성, 서비스특성, 정보특성, 감성특성을 도출하는 동시에 이러한 SNS의 특성과 만족도간에 어떠한 관련성이 있는가를 실증적으로 파악하고자 했다. 또한, 이러한 SNS의 특성과 만족도간의 관련성이 응답자의 국가유형에 따라 달라지는가를 분석하고자 하였다. 본 연구의 목적을 달성하기 위하여 한국과 중국의 인터넷 사용자들을 대상으로 설문지 분석을 실시한 결과, SNS의 여러 가지 특성들이 SNS 만족도에 통계적으로 유의한 수준에서 긍정적 영향을 미치고 있음을 알 수 있었다. 또한, SNS의 특성과 만족도간의 관련성이 국가유형에 따라 차이가 존재하고 있음을 확인할 수 있었다.

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The Impact of Technostress on Social Interaction Overload in Social Network Service (SNS 사회적 상호작용 과부하에 따른 테크노스트레스)

  • Lee, Sea-Bom;Moon, Jae-Young
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.25-33
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    • 2017
  • An increase of the interaction speed can lead to the problem of over-relations. Due to psychological and temporal burdens caused by the excessive relationship, users feel fatigue and users are avoiding using SNS. SNS fatigue and SNS anxiety is regarded as SNS stress related to the side effects caused by the SNS use. This study is to approach negative view which is SNS stress and find out causes of stress from the over-relation of interaction. This study used total of 261 samples from Facebook users. As a results, all hypothesis are accepted using SEM(Structural Equation Model). Information sharing and communication have positive effect on social interaction overload and it causes technostress. The results of this study show that SNS characteristics occurs technostress. This study is significant in that it examines that the features of SNS have negative results.

Analysis of the Influence of Presidential Candidate's SNS Reputation on Election Result: focusing on 19th Presidential Election (대선후보의 SNS 평판이 선거결과에 미치는 영향 분석 - 19대 대선을 중심으로 -)

  • Lee, Ye Na;Choi, Eun Jung;Kim, Myuhng Joo
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.195-201
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    • 2018
  • Smartphones and PCs have become essential components of our daily life. People are expressing their opinions freely in SNS by using these devices. We are able to predict public opinions on specific subject by analyzing the related big data in SNS. In this paper, we have collected opinion data in SNS and analyzed reputation by text mining in order to make a prediction for the will of the people before 19th presidential election in South Korea. The result shows that our method makes more accurate estimate than other election polls.

The Amplifying Aspects of SNS Comments: An Exploratory Study through the Sentiment Comparison between News Site Comments and SNS Comments (SNS 댓글의 정보 증폭 양상에 대한 연구: 뉴스 사이트 댓글과 SNS 댓글의 센티멘트 차원 비교를 통한 탐색적 분석)

  • Jinyoung Min
    • Information Systems Review
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    • v.22 no.4
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    • pp.163-184
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    • 2020
  • The information on SNS, which is created by the forms of postings and comments, is being magnified and redistributed to news media expanding its impacts on real words. This amplifying effects of SNS comments have been increasingly discussed but there still lacks the answers for which dimensions of information is magnified, and what affects the direction and the degree of the amplification. This study, therefore, explores the detailed dimensions that are magnified by SNS comments and how SNS posting structure and social network characteristics affect them by using sentiment analysis. By analyzing 2,378 Facebook postings and news articles and their 26,312 SNS and 74,730 news site comments, this study shows that SNS comments magnify the sentiments of the posting articles they are attached to. In comparison to news site comments, SNS comments magnify the cognitive and social dimensions more than the news site comments. In the affective dimension, they tend to magnify only the positive emotion more than news site comments. Also, the findings reveal that whether the article in the posting is written by the posting owner affects the degree of amplification when the comments are remained positive or switched positive, while the opposite determines the amplification when comments remain negatively, suggesting that the user relationship in social network is the important factor that affects the direction and the degree of the information amplification in SNS.

A Study on the Effects of Tourism SNS Benefits on the Customer's Intention to Reuse through the Value of Tourism SNS (관광 SNS 효익이 관광 SNS 가치를 통해 재이용의도에 미치는 영향 연구)

  • Kim, Dae-Seok;Hong, Jung-In;Seo, Young-Wook
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.3
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    • pp.13-26
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    • 2021
  • The purpose of this study is to understand the relationship between the subfactors(economic benefits, customized benefits, psychological benefits) of tourism SNS benefits and the intention to reuse tourism SNS values, and propose measures to revitalize the tourism industry through marketing strategies that can continuously provide differentiated services from customers through long-term relationship formation, increase profits, maintain and secure customers. This study conducted an empirical analysis of 326 people aged 19 or older. The results of the study are as follows. First, in the relationship between tourism SNS benefits(Economic benefits, customized benefits, psychological benefits) and tourism SNS values(economic value, functional value, emotional value), it was confirmed that tourism SNS benefits have a positive impact on all of the tourism SNS values. Second, in the relationship between the sub-factors of tourism SNS values and the intention of reuse, it was analyzed that all sub-factors of SNS values have a positive effect on the intention of reuse. Based on result of this study, developing contents such as mobility apps to strengthen long-term relationships with customers to maximize the value of tourism SNS and tourism SNS will improve the reuse of tourism service.

Functional Cosmetics Trend Analysis System Using SNS Big Data For The Girls High School Students (여고생들의 SNS 자료를 이용한 기능성 화장품 기호분석시스템)

  • Seo, Jeong Min;Song, Jeo;Lee, Chae Ri;Lee, Sang Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.01a
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    • pp.99-101
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    • 2013
  • 본 논문에서는 사춘기 여고생들의 기능성 화장품의 신상품 개발과 성능 향상을 위한 효율적인 정보의 분석과 생산 정책을 위한 SNS 분석시스템을 제안한다. 제안하는 시스템은 여고생들의 기능성 화장품에 관한 SNS 내용을 분석하기 위한 효율적 알고리즘과 방법론을 제안하여 시스템의 처리량을 최대화하고, 각 작업의 수행시간을 최소화한다. 또한 여고생들의 기능성 화장품에 대한 기호 상태를 파악하여, 그 분석 결과를 제품의 개발 및 생산에 반영하기 위한 비주얼 방법론을 함께 제안한다. 따라서 본 논문에서 제안하는 시스템은 단지 화장품에 대한 분석뿐만 아니라 이와 비슷한 소비자의 기호가 빠르게 변화하는 제조업 분야에서 다양하게 응용이 가능하다.

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스톰을 기반으로 한 실시간 SNS 데이터 분석 시스템

  • Lee, Hyeon-Gyeong;Go, Gi-Cheol;Son, Yeong-Seong;Kim, Jong-Bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.435-436
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    • 2015
  • In order to analyze and maximize efficiency of advertise, business put more importance on SNS. Especially, keyword extraction analyses based on Hadoop receive attention. The existing keyword extraction analyses have mostly MapReduce processes. Due to that, it causes problems data base would not update in real time like SNS system. In this study, we indicate limitations of the existing model and suggest new model using Storm technique to analyze data in real time.

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