• Journal of Digital Convergence
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• v.16 no.10
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• pp.399-407
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• 2018

The influence of SNS platform in the mobile environment has grown greatly. Among the various social networking services(SNS), this study analyzed the question of 311 women to investigate whether any difference exists between reliability of contents information, informativeness and playfulness as well as how attributes of contents information influence user attitude depending on the difference in type of providing information provided by "Innisfree" Cosmetics, the company account of Instagram. According to analysis, first, no difference exists between reliability of contents information, informativeness and playfulness depending on the type of providing information. Second, reliability and the playfulness of contents information influence purchase intention. Third, contents information "informativeness" and "playfulness" influence loyalty. Fourth, the "informativeness" and "playfulness" of contents information influence User Satisfaction. Considering such result, it is confirmed that the type of providing information provided by company does not influence account attributes and the "playfulness" of contents information is significant factor which influences all user attitude.

• Journal of KIISE
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• v.43 no.1
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• pp.47-53
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• 2016

While the Internet develops rapidly, a huge amount of image data collected from smart phones, digital cameras and black boxes are being shared through social media sites. Generally, social images are handled by tagging them with information. Due to the ease of sharing multimedia and the explosive increase in the amount of tag information, it may be considered too much hassle by some users to put the tags on images. Image retrieval is likely to be less accurate when tags are absent or mislabeled. In this paper, we suggest a method of extracting tags from social images by using image content. In this method, CNN(Convolutional Neural Network) is trained using ImageNet images with labels in the training set, and it extracts labels from instagram images. We use the extracted labels for automatic image tagging. The experimental results show that the accuracy is higher than that of instagram retrievals.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.471-483
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• 2021

The purpose of this study is to find out audience' response of virtual influencer at the starting line of virtual influencer marketing. Therefore, posts, comments, number of likes, and video reviews were collected from Instagram of virtual influencers active in Korea. Python 3.7 and Textom were used for data collection and analysis. Sentimental analysis showed that the rate of positivity was higher than the rate of negativity and neutrality. The appearance of virtual influencer was found to be a major factor in both positive and negative. Consumers' interest in virtual influencer could be inferred from the neutral sensibility. This study is meaningful in that it presented data to help establish strategies for virtual influencer marketing by examining consumer reactions to virtual influencer and identifying factors of positive and negative emotions toward virtual influencer.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.81-89
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• 2022

This study aims to analyze the images of Instagram posts and to draw implcations regarding the exhibition of . This study collects and crawl 24,295 images from Instagram posts as a dataset. We use the Google Cloud Vision API for labeling the images and a total of 212,567 clusters of labels are finally classified into 9 categories using Word2Vec. The categories of museum spaces, photo zone, architecture category are dominant along with people category. In conclusion, visitors curate their experiences and memories of physical places and spaces while they are experiencing with the exhibition. This result reproves the results of previous studies which emphasize a sense of social presence and place making. The convergent approach of art management and art technology used in this study help museum professionals have an insight on big data based visitor research on a practical level.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.405-411
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• 2019

The purpose of the study is to investigate a usability of using fashion and beauty service and suggest better user experience on Instagram's newly released mobile video platform, IGTV. The study expects to be a resource of improving the usability on fashion and beauty contents on IGTV and encourage further research for suggesting better guidelines. As a research method, it will experiment current mobile video service first with literature review. Afterwards, the research conducted tasks and in-depth interview with eight Instagram users to evaluate a usability of using fashion and beauty service on IGTV. As a result, it is able to derive two plans that needed improvement. Firstly, IGTV is required to have high accessibility for user's to use service longer and intuitive user experience. Secondly, unlike previous service that Instagram have offered, IGTV need to differentiate to share and get information of fashion and beauty trends.

• Information Systems Review
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• v.20 no.2
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• pp.63-85
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• 2018

Emerging hotspot and trendy areas are formed into alleys and blocks with the help of viral effects among social network services (SNS) users called "Golmogleo." These users search for every corner of the alleys to share and promote their own favorite places through SNS. An analysis of hot places is limited if it is only based on macroeconomic indicators such as commercial area data published by national organizations, large-scale visiting facilities, and commuter figures. Careful analyses based on consumers' actual activities are needed. This study develops a "social big data analysis methodology" using Instagram data, which is one of the most popular SNSs suitable to identify recent consumer trends. We build a spatial analysis model using Local Moran's I. Results show that our model identifies new trend zones on the basis of posting data in Instagram, which are not included in the commercial information prepared by national organizations. The proposed analysis methodology enables better identification of the latest trend areas formulated by SNS user activities. It also provides practical information for start-ups, small business owners, and alley merchants for marketing purposes. This analytical methodology can be applied to future studies on social big data analysis.

• 한국벤처창업학회:학술대회논문집
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• 2017.08a
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• pp.49-54
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• 2017

웹 기술의 발전과 스마트폰 이용자 수의 증가는 소비자와 기업 간의 관계를 혁신적으로 변화시키고 있다. 기업이나 공공기관들은 고객들과 커뮤니케이션 효과를 극대화 하기 위해 새로운 크로스미디어 플랫폼으로 등장한 소셜미디어를 적극적으로 활용하고 있다. 블로그, 페이스북, 인스타그램 등 더욱 다양하지고 변화의 속도가 빨라지는 소셜미디어 트렌드 속에서 기업들은 채널의 특성에 따라 어떠한 콘텐츠가 소비자에게 만족과 구매에 중요한 영향을 미치는지 체계적인 분석과 운영전략이 필요한 실정이다. 본 연구에서는 기업 마케팅의 활용 관점에서 블로그와 SNS 채널 특징에 따라 콘텐츠 유형의 만족도를 비교 분석하고, 이용자의 개인 특성에 따라 채널별로 어떠한 차이가 있는지에 관한 전략적 틀과 시사점을 제시하고자 한다. 이를 위해 소비자와 판매자 간의 커뮤니케이션 방법에 따라 소셜미디어 콘텐츠를 홍보성, 정보성, 소통성 유형으로 구분하여 블로그 페이스북, 인스타그램의 소셜미디어 채널별로 소비자 만족도를 조사하고자 한다. 또한, 인터넷 이용자의 개인 특성에 따라 선호하는 SNS 콘텐츠 유형이 다를 수 있음에 착안하여 SNS를 이용하는 사용자의 특성을 네 가지 형태로 분류하고 특성에 따른 만족도의 영향관계를 분석하였다. 본 연구 결과를 통해 다양한 소셜미디어 채널을 활용하고자 하는 기업들에게 효율적인 SNS 마케팅 전략구축 방안과 인터넷 이용자 특성을 고려한 콘텐츠 활용 방안에 대한 시사점을 제시하였다.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.419-428
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• 2020

SNS media is gaining its media share with the benefits of digital technology, such as the convenience of physical access and the entertainment and interactivity of contents, and are becoming a part of users' lives. As media contents consumers move from traditional media to SNS, marketing communication activities are rapidly adapting to leading SNS platforms such as Facebook. This study compares how users perceive four advertisement attributes in each SNS, focusing on Facebook, Instagram, Kakao Story, and Twitter, where the media content creation and consumption systems are relatively similar to each other. The impact on eWOM intention was identified. In addition, we discussed effective SNS operation.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.201-217
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• 2015

Instagram, image based visual SNS platform is regarded as one of the most effective marketing channels and the number of users are getting increased. To enhance of our understanding of general current use and customer attitude through Instagram accounts owned by fashion brands depending on user attributes, the present study investigates factors that current status of use, purpose of use, brand attitude, purchase intension, and recommend intension. A survey method was conducted for empirical test. A convenience sample of 100 participants was used for data analysis. SPSS 18.0 was used for statistical analysis. Findings of this study suggest that first, the very purpose of access is to grasp fashion trend, second, a group of the high interest in fashion accesses to Instagram account of fashion brands more often, uses Instagram for information search more than other group and has a positive influence on recommend intension, third, a group of the high frequent access accesses Instagram for purpose of information search more and has a positive influent on values on customer attitude and the last, partial purposes of utilization and benefits sought of Instagram of fashion brands has a positive influence on customer attitude.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.3
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• pp.379-396
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• 2018

This study investigated consumer perceptions of information provided in a fashion Instagram. This study examined the differences between information provided in Instagram by brand vs consumers. A pilot test was conducted to develop stimuli and a brand selection in the main study. Participants were randomly assigned to one of two stimuli manipulated by information providers, and examined the perceived credibility, usefulness, and enjoyment of information as well as brand attachment and purchase intention. We gathered and analyzed a total of 200 data. The findings of the study showed that respondents perceived significantly greater usefulness and purchase intention of images uploaded by consumers compared to the fashion brand. Credibility and enjoyment were significant factors to enhance brand attachment; in addition, usefulness, credibility, and enjoyment were significant factors to increase purchase intention. The findings of the study suggest academic and marketing implications.