• Title/Summary/Keyword: SNS Content

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The Effects of Hashtag Type on Evaluations of Influencer and Fashion Information and Consumer Responses (해시태그 유형이 인플루언서 및 패션 정보 평가, 수용자 반응에 미치는 영향)

  • Kim, Woo Bin;Kim, Dong Seob;Park, Jisoo
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.1
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    • pp.1-16
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    • 2019
  • This study explores the effect of hashtag type on consumer response via evaluations of SNS fashion influencer and information in the context of fashion product communication. The moderating effect of perceived fit between hashtag content and fashion product image on information evaluation was also investigated. An online survey was conducted, and responses from 152 Instagram users were collected. The results indicated that hashtag type (informative vs storytelling) affects the evaluations of influencer and information. First, the informative hashtag has a positive effect on influencer's expertise and usefulness of information. Meanwhile, storytelling type has a positive effect on the familiarity of the influencer. This study also verified the mediated paths from hashtag type to consumer response through the evaluations of SNS fashion influencer and information. The influencer's expertise and familiarity mediated the effect of hashtag type on consumer response. In the information evaluation, only the mediating effect of usefulness was significant. Finally, the high condition of the perceived fit between hashtag content and fashion product image was found to highly evaluate the trust of information. This study extends the scope of fashion communication research from various angles by examining the role of the hashtag as a new type of information source.

A Study on the Interest of SNS Users according to New Media Fashion Content Types -Focus on Vogue Korea's Official Instagram- (뉴미디어 패션 콘텐츠 유형에 따른 사용자의 SNS 관심도 연구 -보그 코리아 공식 인스타그램 중심으로-)

  • Lee, Chungsun;Lee, Seunghee
    • Journal of Fashion Business
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    • v.24 no.1
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    • pp.75-87
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    • 2020
  • The purpose of this study is to find trends in new media fashion content by analyzing the fashion content of the official Instagram accounts of domestic fashion magazines that are being transformed by digital media. The framework for these analysis of fashion content type and methods of production is based on one used in an earlier research project. Empirical analysis is conducted on Vogue Korea's official Instagram accounts, using the highest number of major views as the secondary measure of interest. After screening for fashion content in posts on the Vogue Korea account for four months, 291 short video postings were extracted to analyze the number of views the postings received. The results were categorized as 'star', 'show/exhibition', 'product', 'shop', 'fashion film', 'designer', or 'event', included in the data are the number of postings by type and the number of views by post. Based on the characteristics of the creator and the editing, the posts were classified into 'professional production highlight', 'professional production private', 'UCC' or 'GIF' videos, the number of views per post were also collected. The research results show different levels of interest depending on the type of fashion content, and also on the way the videos were produced. The study also investigated how the combination of these two factors affects interest. When producing a new media fashion content, combining a 'star' type post with 'professional production private' video content was most popular. The selection of production method is therefore important even given the same type of content.

The Characteristics of Generation Z in the Creator Activities of Virgil Abloh (버질 아블로의 크리에이터 활동에 나타난 Z세대 특성)

  • Park, Serin;Park, Juhee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.2
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    • pp.217-232
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    • 2021
  • This study analyzed the characteristics of generation Z leading the trend of the fashion industry through the creative activity of Virgil Abloh. A literature review and case study were conducted together with detailing the research methodology. As a result of research, generation Z is conceptualized as a "digital native" who grows in digital technology environment with excellent visual sense. They are "SNS creators" who have influence on Social Networking Services (SNS). They are also characterized as "social activists" who reject social conventions and prejudices. They are a "leading creators" who seek to differentiate with creativity. The characteristics of generation Z in the creative activities of Virgil Abloh have a feature of digital native in that they seek visual originality. In terms of communicating with generation Z through SNS and influencer marketing, it has the characteristics of SNS creators. It expresses social activists in providing consumers with diversity, and social perceptions of differentiation. In terms of providing content that encourages consumers to express their personality, it has a feature of leading creators. It is meaningful in that it contributes to the understanding of the market change and marketing strategy according to the consumer development and the activity of the fashion designer.

An Implementation and Analysis on the Effectiveness of SNS based Blended Learning System for Internet Ethics Education (인터넷 윤리교육을 위한 SNS 기반의 블렌디드 러닝 시스템 구현과 효과 분석)

  • Lee, Jun-Hee
    • Journal of Information Technology Services
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    • v.10 no.3
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    • pp.61-76
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    • 2011
  • The purpose of this paper was to design and implement effective learning model for internet ethics education, following the learning principle and procedure of PBL(Problem-Based Learning) which is one of the constructivism teaching-learning theories(, and to apply it). In this learning model, online learning and face-to-face classes were systematically combined for achieving the teaching-learning goals and the main module for online learning run on Moodle, an open source LMS(Learning Management System). It is possible for learner to participate actively in creation of micro-contents and reorganize contents using various SNS(Social Network Service). The learner can achieve the learner-oriented learning and select micro-contents in order to reorganize the personalized learning contents to take advantage of SNS among learners. To examine educational effectiveness of the proposed learning model, an experimental study was conducted through the education content and method to the subjects of two classes in the second-grade of university located in OO city. 60 students(treatment group=30, control group=30) participated in the experiment. The result statistically verified that the proposed learning method is more effective in cultivating consciousness of internet ethics than the face-to-face PBL learning method. The results of this paper also showed that a lecture using blended learning is efficient in achieving learning performance and that learners responded positively(, which are indicating that the higher effectiveness of learning would be expected) by forming connectedness among learners using SNS. The results of this paper showed that a lecture using blended learning is effectiveness in achieving learning performance and that learners responded positively, which are indicating that the higher effectiveness of learning would be expected by forming connectedness among learners using SNS.

A Study on Tourism Resource Strategy of Film Location using Social Bigdata based on SNS Trend Analysis of Jeonju Area (소셜 빅데이터를 활용한 영화촬영지 관광자원화 방안 -전주 지역의 관광체험 SNS 동향 분석을 토대로-)

  • Park, Ji-Yeong;Kim, Geon;Kim, Chan-Young;Oh, Hyo-Jung
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.477-487
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    • 2016
  • In 1995, the filming location of the drama had been famous, and as a result it brings the effect of increasing tourists of that areas. After that, many local governments try to host the filming on their regions to be potential tourist attractions. With the same stream, Jeonju also has attempted to host International Film Festival and to set up Jeonju Film Commission and Jeonju Cinema Complex. However, although the city already has rich infrastructure facilities to make films, the city hardly tries to use the filming locations as tourist attractions. This study suggests four ways of using filming locations as tourist attractions to activate Jeonju economy and improve Jeonju's cultural image. We firstly collect social bigdata related with tourists of filming locations and tourist attractions in Jeonju from Twitter, which is the most representative SNS, and then perform frequency and trend analysis. We also investigate major factors of visits to tourist's attractions based on content analysis of tweet mentions.

Rethinking Social Media: The Influences of Restrictive Attributes of Audio-based Social Media on User Intention (SNS의 재발견: 오디오SNS의 제한적 속성이 사용의도에 미치는 영향)

  • Cho, Yeram;Lee, Jeha;Park, Haeun;Chung, Doohee
    • Journal of Technology Innovation
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    • v.29 no.4
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    • pp.125-160
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    • 2021
  • Unlike existing social platforms that seek openness, an audio-based social platform is characterized by its limitations. This study uses the Value-Based Acceptance Model(VAM) to analyze the role that such limitations play in the user's acceptance of audio-based social media. In this study, restrictive properties are defined as access-limitation, communication-limitation, and content-limitation. This study aims to analyze the effect of each variable on the perceived value and usage of audio-based social media. The hypothesis test was conducted based on the survey responses total of 207 users and potential users. The results was analyzed that three limiting variables affect perceived benefit factors, usefulness and playfulness, and the user's acceptance intention. This study is significant in that it presents a model based on the VAM and provides guidance for new forms of social media growth.

The Kernel Trick for Content-Based Media Retrieval in Online Social Networks

  • Cha, Guang-Ho
    • Journal of Information Processing Systems
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    • v.17 no.5
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    • pp.1020-1033
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    • 2021
  • Nowadays, online or mobile social network services (SNS) are very popular and widely spread in our society and daily lives to instantly share, disseminate, and search information. In particular, SNS such as YouTube, Flickr, Facebook, and Amazon allow users to upload billions of images or videos and also provide a number of multimedia information to users. Information retrieval in multimedia-rich SNS is very useful but challenging task. Content-based media retrieval (CBMR) is the process of obtaining the relevant image or video objects for a given query from a collection of information sources. However, CBMR suffers from the dimensionality curse due to inherent high dimensionality features of media data. This paper investigates the effectiveness of the kernel trick in CBMR, specifically, the kernel principal component analysis (KPCA) for dimensionality reduction. KPCA is a nonlinear extension of linear principal component analysis (LPCA) to discovering nonlinear embeddings using the kernel trick. The fundamental idea of KPCA is mapping the input data into a highdimensional feature space through a nonlinear kernel function and then computing the principal components on that mapped space. This paper investigates the potential of KPCA in CBMR for feature extraction or dimensionality reduction. Using the Gaussian kernel in our experiments, we compute the principal components of an image dataset in the transformed space and then we use them as new feature dimensions for the image dataset. Moreover, KPCA can be applied to other many domains including CBMR, where LPCA has been used to extract features and where the nonlinear extension would be effective. Our results from extensive experiments demonstrate that the potential of KPCA is very encouraging compared with LPCA in CBMR.

A Study on the Impact of SNS Usage Characteristics, Characteristics of Loan Products, and Personal Characteristics on Credit Loan Repayment (SNS 사용특성, 대출특성, 개인특성이 신용대출 상환에 미치는 영향에 관한 연구)

  • Jeong, Wonhoon;Lee, Jaesoon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.5
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    • pp.77-90
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    • 2023
  • This study aims to investigate the potential of alternative credit assessment through Social Networking Sites (SNS) as a complementary tool to conventional loan review processes. It seeks to discern the impact of SNS usage characteristics and loan product attributes on credit loan repayment. To achieve this objective, we conducted a binomial logistic regression analysis examining the influence of SNS usage patterns, loan characteristics, and personal attributes on credit loan conditions, utilizing data from Company A's credit loan program, which integrates SNS data into its actual loan review processes. Our findings reveal several noteworthy insights. Firstly, with respect to profile photos that reflect users' personalities and individual characteristics, individuals who choose to upload photos directly connected to their personal lives, such as images of themselves, their private circles (e.g., family and friends), and photos depicting social activities like hobbies, which tend to be favored by individuals with extroverted tendencies, as well as character and humor-themed photos, which are typically favored by individuals with conscientious traits, demonstrate a higher propensity for diligently repaying credit loans. Conversely, the utilization of photos like landscapes or images concealing one's identity did not exhibit a statistically significant causal relationship with loan repayment. Furthermore, a positive correlation was observed between the extent of SNS usage and the likelihood of loan repayment. However, the level of SNS interaction did not exert a significant effect on the probability of loan repayment. This observation may be attributed to the passive nature of the interaction variable, which primarily involves expressing sympathy for other users' comments rather than generating original content. The study also unveiled the statistical significance of loan duration and the number of loans, representing key characteristics of loan portfolios, in influencing credit loan repayment. This underscores the importance of considering loan duration and the quantity of loans as crucial determinants in the design of microcredit products. Among the personal characteristic variables examined, only gender emerged as a significant factor. This implies that the loan program scrutinized in this analysis does not exhibit substantial discrimination based on age and credit scores, as its customer base predominantly consists of individuals in their twenties and thirties with low credit scores, who encounter challenges in securing loans from traditional financial institutions. This research stands out from prior studies by empirically exploring the relationship between SNS usage and credit loan repayment while incorporating variables not typically addressed in existing credit rating research, such as profile pictures. It underscores the significance of harnessing subjective, unstructured information from SNS for loan screening, offering the potential to mitigate the financial disadvantages faced by borrowers with low credit scores or those ensnared in short-term liquidity constraints due to limited credit history a group often referred to as "thin filers." By utilizing such information, these individuals can potentially reduce their credit costs, whereas they are supposed to accrue a more substantial financial history through credit transactions under conventional credit assessment system.

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AskMyFriend : Structure and Implentation of Social Information Sharing System using Social Content Channel (AskMyFriend : 소셜 컨텐츠 채널을 이용한 소셜 정보공유 시스템의 설계 및 구현)

  • Lee, Dong-Kyun;Kwon, Joon-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.8
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    • pp.32-37
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    • 2010
  • We classify SNS into two categories and describe the merits and demerits of them. In order to combine the merits of each kind of SNS, we propose the social information sharing system for social network service using social content channel. It makes user share information faster and gather information more effectively. In this paper, we present AskMyFriend. It opens a channel aggregating users' interaction and recommends person who is most likely to know about topic of the question.

An Exploratory Study on the Effects of Psychological Distance and Message Type on Word-of-Mouth in Firm's Facebook (회사 페이스북 메시지의 심리적 거리와 메시지 유형이 구전에 미치는 영향에 대한 탐색적 연구)

  • Lee, Seongwon
    • The Journal of Information Systems
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    • v.29 no.2
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    • pp.71-94
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    • 2020
  • Purpose With the development of Social Network Service(SNS) and mobile devices, many companies have been using the Facebook as a Word-of-Mouth(WOM) channel. This study examines the effects of psychological distance and message type on WOM using the Facebook's real messages. And the moderating effect of the message type on the relationship between psychological distance and WOM was also analyzed. Design/methodology/approach A content analysis was used as a research method. A total 7,483 messages were collected from 50 companies' Facebook Fanpage (based on the ranking of socialbakers.com) and content analysis was conducted using human coding. As the influencing variables, the message type and psychological distance and the number of 'Likes', 'Share', and 'Comment' were used as the dependent variable. The R3.4.4 was used to perform descriptive statistics, cross-tab analysis, and analysis of variance(ANOVA). Findings First, a larger proportion of Facebook messages have close psychological distance for all message types(information, advertisement, event, and customer relationship). Second, 'Like' and 'Comment' number were significantly higher in messages of close psychological distance. Third, the effects of psychological distance on 'Like', 'Share', and 'Comment' number were different according to message type. However, 'advertisement' message type had significantly more numbers for all WOMs('Like', 'Share', and 'Comment') in messages with close psychological distance.