• Title/Summary/Keyword: social network service (SNS)

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Spammer Detection using Features based on User Relationships in Twitter (관계 기반 특징을 이용한 트위터 스패머 탐지)

  • Lee, Chansik;Kim, Juntae
    • Journal of KIISE
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    • v.41 no.10
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    • pp.785-791
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    • 2014
  • Twitter is one of the most famous SNS(Social Network Service) in the world. Twitter spammer accounts that are created easily by E-mail authentication deliver harmful content to twitter users. This paper presents a spammer detection method that utilizes features based on the relationship between users in twitter. Relationship-based features include friends relationship that represents user preferences and type relationship that represents similarity between users. We compared the performance of the proposed method and conventional spammer detection method on a dataset with 3% to 30% spammer ratio, and the experimental results show that proposed method outperformed conventional method in Naive Bayesian Classification and Decision Tree Learning.

A Study on Intention to Use and Word-of-mouth for Fashion Social Network Service (패션 소셜네트워크(SNS) 사용의도 및 구전의도에 관한 연구 -의복쇼핑성향, 혁신제품태도와 유행선도력의 영향을 중심으로-)

  • Park, Ji-Young;Chung, Sung-Jee;Jeon, Yang-Jin
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.1
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    • pp.36-45
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    • 2012
  • This study locates factors that affect the intention to use fashion SNS (social network service) and intention for word-of-mouth on fashion SNS. Independent variables were fashion shopping orientation, attitude toward innovative products, fashion leadership, and demographics. A questionnaire method was used to collect data on college students while factor analyses, multiple regression, $x^2$ analyses, and Pearson correlation coefficients were applied in analyzing data. Factor analyses resulted in four factors for fashion shopping orientation, three on attitude toward innovative products and two on fashion leadership. Multiple regression analyses showed that information compatibility of attitude toward innovative products had a significant impact on two models of intention to use fashion SNS and two models of intention for word-of-mouth on fashion SNS. Opinion leadership and gender were significant factors for two models of intention to use fashion SNS, which means that women are likely to have more intention to use fashion SNS. Meanwhile, fashion innovativeness was found to be a significant factor on two models of intention for word-of-mouth on fashion SNS. Shopping orientation factors were not important for any model. $x^2$ analyses showed that women rather than men wanted more information on online fashion shows, general fashion information, and user participation programs. Fashion major students wanted more information on online fashion shows and user participation programs than non-fashion major students.

A Study on the Formation and Impact of Online Friendship Desire in SNS Gifting (SNS 선물하기에서 친교욕구의 형성 및 그 영향력 연구)

  • Lee, Ju-Young;Lee, So-Hyun;Kim, Hee-Woong
    • Knowledge Management Research
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    • v.15 no.2
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    • pp.107-128
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    • 2014
  • From old times, companies have created profits by developing business models utilizing their friendship with customers, so the relationships can be connected to the activity giving a gift. This activity of giving a gift is developed as the service of giving gifts via social network services (SNS) as the use of SNS and smart phones is recently increased in relation to that, this study set the online friendship desire and the SNS gift convenience as the intrinsic motive and the extrinsic motive of the SNS gift behavior, respectively. This study identified how the interactivity's sub factors influenced on the online friendship desire/SNS gift convenience by reorganizing the interactivity's sub factors in the mobile context. As the results of this study, it was found that the connectedness, the synchronicity and playfulness positively influenced on the online friendship desire for the SNS gift convenience, the only connectedness positively influenced on it. And it was identified that the SNS gift convenience and the online friendship desire positively influenced on the SNS gift intention. This study is academically meaningful in that it conducted an empirical research by focusing on the friendship desire in relation to the SNS gift. Besides, through the results of this study, the online friendship desire and the SNS gift convenience will have to be considered as providing any SNS gift service, and that is expected to create knowledge for SNS business model to companies.

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Antecedents to Customer Repurchase in Korean Social Commerce Service

  • Lee, Suk-Jun;Youn, Myoung-Kil;Kim, Wanki
    • Journal of Distribution Science
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    • v.10 no.3
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    • pp.7-13
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    • 2012
  • Recently, with the success of Groupon in the USA using the new business model referred to as social commerce, which is a commercial transaction involving group purchases on social network service (SNS), social commerce business receives much attention. Social commerce is capable of effectively promoting additional purchasing by customers through unprecedented price discounts and limiting the number of purchasers and time allotted for purchases, and is able to achieve promotional effects over and above those of simple product promotion due to customers' voluntary word of mouth. Although social commerce is effective for short-term increase in the sales of products, there are numerous dissenting opinions on whether it can promote repurchasing by customers. In particular, social commerce in Korea focuses only on unprecedented discounted prices and does not have the marketing effect that SNS can produce over and above the sales promotion. The objective of this study is to find the factors that influence the repurchase intention on social commerce and to analyze factors that contribute the social commerce product. For this, this study extracts repurchase intention factors and computes a repurchase probability to assess the influence of factors other than price discount on social commerce customers at the time of repurchasing. In addition, the importance of factors toward sales revenue for each of the social commerce products (e.g., restaurant/café, beauty, tour/leisure, show/exhibition, and fashion/clothes) is estimated by using the computed repurchase probabilities. The repurchase probability through the analysis can be used for development of social commerce business in Korea.

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A Study on Business Strategies and Success Factors of Social Network Service and Enterprises: Focusing on Representative SNS of Korea, China, and USA (소셜 네트워크 서비스 기업의 비즈니스 전략과 성공요인 분석에 관한 연구 : 한국, 중국, 미국의 대표적인 SNS을 중심으로)

  • Lee, Cheol-Min;Kim, Chang-Su;Park, Kyung-Won;Ahn, Hyun-Sook
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.177-187
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    • 2014
  • In this paper, representative social network services(SNS) of Korea, China, and America such as Cyworld, Renren and Facebook were analyzed in regards to their business strategies and successful factors. From the analysis results, it was found that their common business strategies are strengthening a sense of belonging by providing differentiated customer services and by increasing customer satisfaction and this kind of strategies were naturally connected to the corporate marketing. So, Maintaining their own differentiated services, SNS companies should make a constant efforts to meet customers' needs on the base of success factors. Companies which will carry out marketing with SNS should also improve their images through communication with customers, utilizing services provided by SNS companies which match well with companies using SNS as a means of marketing. As various extensive researches are being conducted on SNS which enabled online networking, such findings will be usefully referred for similar researches and will provide theoretical basis and practical guidelines for future researches.

A Research on Usage Factors of Mobile Microblogging Service (모바일 마이크로블로깅(Mobile Microblogging) 서비스의 사용요인에 관한 연구)

  • Jin, Jeong-Suk;Lusi, Zhao;Park, Joo-Seok
    • Korean Management Science Review
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    • v.28 no.3
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    • pp.83-94
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    • 2011
  • Microblogging is a Web2.0 technology that is used to manage online interpersonal relationship in SNS. Microblogging service allows the users to publish online brief text updates, usually less than 140~200 characters, sometimes images too. Recently, it becomes more and more popular. There are many reasons, the major one of which is that it can be perfectly combined with mobile. Based on technology acceptance model (TAM) and according to mobile service and microblogging service, this research adds four attributes : Perceived enjoyment, Habit, Mobility, Social Influence. It studies the factors that will impact on the way in which people use rapid developing Mobile Microblogging Service. This research will compare the influence factors and intension to use with the results from other studies with SNS and Mobile Microblogging Service, and then conclude the differences that can be generated in Microblogging.

A Study on the Factors Affecting Continuous Intention and Expansion of Communication Channels in Social Network Service (소셜네트워크서비스에서 지속사용의도 및 관계채널확장에 영향을 미치는 요인에 관한 연구)

  • Park, Seon-Hwa;Gim, Gwang-Yong
    • Journal of Information Technology Services
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    • v.11 no.2
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    • pp.319-337
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    • 2012
  • To stress the importance of privacy in social networking, I presented an analysis on how information control and information management vulnerability influence trust and privacy concerns in social networking, and how trust and privacy concerns influence the sustainable usage intention of social network services. I also analyzed the factors affecting privacy concerns to present the method to alleviate social network users' concerns about privacy. Information collection control, information processing control and information management vulnerability were chosen and analyzed as the factors affecting privacy concerns. The results showed that information collection control and information management vulnerability significantly affected trust and privacy concerns; and information processing control did not significantly affect privacy concerns. The relationship between trust and privacy concerns, and sustainable usage intention was statistically significant; and the relationship between trust and expansion of communication channels was also statistically significant.

Korean Customer Attitudes Towards SNS Shopping

  • Cho, Young-Sang;Heo, Jeong-Yoon;Youn, Myoung-Kil
    • Journal of Distribution Science
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    • v.10 no.8
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    • pp.7-14
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    • 2012
  • As a new format of retailing, social shopping on SNS has rapidly grown in recent. Although there is much literature associated with customer behaviours in the academic world, little attention has been paid to identifying the shopping patterns of SNS shoppers. This paper will, thus, identify how perceived value has an impact on the buying intention of SNS shoppers, after illustrating what kind of factor influences the formation process of perceived value in the Korean marketplace. Given that SNS shoppers are for the most part 20s as well as 30s, the authors handed out questionnaires to them. Furthermore, based on literature review results, the conceptualised research model was developed. Despite lack of literature, the authors developed five constructs like price reduction, quantity- and time-limited message, product ranges, information-sharing, and required number of shoppers. The researchers made a considerable effort to identify the relationship between research concepts and each variable, based on a few research analysis methods such as frequency analysis, the Varimax rotation technique used orthogonal rotation, Cronbach's Alpha, PCA (Principle Component Analysis), and the like. Amongst the 5 variables used to measure the degree of influences on the perceived value as a social shopping characteristic, it has been evident that price cut, required minimum shoppers, product variety, and information-sharing have a positive impact on the perceived value formation processes of SNS customers. Also, this research implies that SNS retailers can differentiate themselves from other retailers by differently using the above factors. From a practitioner's point of view, these factors should be strategically used to increase the social shopping opportunities of SNS users. It is, furthermore, evident that the perceived value formed by the above 4 factors have played an important role in the buying decision process of SNS customers. In a sense, whether customers are aware of higher price cut rates, information-sharing, required minimum shoppers, and product variety has a positive impact on making buying decisions. From a retailer's point of view, online shopping mall operators are able to use blog as well as twitter to improve the buying intention as a marketing tool of social network, because the business activities provided by social shopping retailers, like the rapid, accurate responses to customer requirements, the provision of a variety of information, and the communications between customers are closely related to buying intentions. There are a few research limitations to conduct this empirical research. It was not easy to review prior papers, due to its lack. In spite of the increasing number of SNS shoppers in Korea, little research attention has been paid to this kind of research topic by academicians, because buying products or services through SNS is in its infancy. With regard to research populations, it would be difficult to generalise the research findings in Korea, owing to unbalanced respondent distribution. Considering the above research limitations as well as the growth of social shopping, many authors should pay considerable attention to SNS-related issues in the future, and develop the more sophisticated criteria to measure the characteristics of SNS shoppers.

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A Decision Tree Analysis-based Exploratory Study on the Effects of Using Smart Devices on the Expansion of Social Relationship (의사결정나무 분석을 활용한 스마트 기기의 사용이 사회관계 확대에 미치는 영향에 관한 탐색적 연구)

  • Son, Woong-Bee;Jang, Jae-Min
    • Informatization Policy
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    • v.26 no.1
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    • pp.62-82
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    • 2019
  • This study attempts to make an empirical analysis on how mobile devices affect users in building their social relationship and if their influences are negative or positive. The purpose of this research is to explain the results by considering all the possibilities and exploring everyday lives of using mobile devices. We used the survey data from the "Research on Mobile Environment Awareness" conducted by Gyeonggi Research Institute(GRI). The main question was about the use of mobile devices and social network services (SNS) and users' opinions on using the devices. All of the 31 municipalities in Gyeonggi Province were included as a spatial range, and the final validity sample was 1,004 residents. The extent of the relationship with people is selected as a dependent variable through the multinomial logistic model and the decision tree model. As a result of the multinomial logistic analysis on the questionnaire, the characteristics of the respondents with some changes in the scope of the human relationship were found to have a significant (+) effect on conversation with family, SNS usage, residence in the rural area but not urban area, and device usage for obtaining news. The largest variable affecting the extent of relationship was the SNS usage. As the amount of SNS usage increases, the extent of the relationship also changes a lot.

Automatic Retrieval of SNS Opinion Document Using Machine Learning Technique (기계학습을 이용한 SNS 오피니언 문서의 자동추출기법)

  • Chang, Jae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.5
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    • pp.27-35
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    • 2013
  • Recently, as Social Network Services(SNS) are becoming more popular, much research has been doing on analyzing public opinions from SNS. One of the most important tasks for solving such a problem is to separate opinion(subjective) documents from others(e.g. objective documents) in SNS. In this paper, we propose a new method of retrieving the opinion documents from Twitter. The reason why it is not easy to search or classify the opinion documents in Twitter is due to a lack of publicly available Twitter documents for training. To tackle the problem, at first, we build a machine-learned model for sentiment classification using the external documents similar to Twitter, and then modify the model to separate the opinion documents from Twitter. Experimental results show that proposed method can be applied successfully in opinion classification.