• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.10
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• pp.1581-1587
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• 2013

So in terms of the changing of marketing strategies, it is widely required to resort to SNS or other newly invented marketing methods capable of make up for the lack of communication with clients or the duplicity of information which could be found in the existing internet-based marketing method. Like any other businesses, real estate market has to respond to the change of conditions with marketing-oriented management.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1125-1128
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• 2012

최근 FTA 체결은 국내의 농식품 소비자들을 값싼 외국산 농식품으로 소비 패턴을 변화시킬 수 있다. 또한 유통시장의 변화 즉, 소비자-생산자 간의 직거래 형태는 개인이 프로슈머로서 농식품 관련 컨텐츠의 제작과 생산이 더욱 활발해지도록 하며 소비자들이 구매의사 결정에 중요하게 작용하고 있다. 따라서 농식품의 효과적인 마케팅 전략읠 수립 및 실행을 위하여 소비자가 무엇을 원하고 인식하지 못한 욕구가 있는지 소비자 유형을 분석 할 필요가 있다. 본 논문에서는 농식품 소비자 구매의도를 통한 제품이나 서비스의 이용의도로서 종속변수로 설정하여 구매의도에 영향을 미치는 요인을 분석하였다. 또한 연구 모형을 위해 교류빈도, 친밀감, 호혜성, 감정의 강도라는 SNS 특성을 도출하여 분석하였다.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.254-266
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• 2020

The purpose of this study is to analyze the influence of the type of recommender system on consumer's perceived benefit and privacy risk. The result showed that the perceived usefulness and intension to click was high in the order of Hybrid-filtering, Bestseller, and SNS-based system. Privacy concern was high in order of SNS-based system, Hybrid-filtering, and Bestseller. Moderating effects of perceived personalization on the type of recommender system and perceived usefulness were significant. Finally perceived usefulness had positive effect, and privacy concern had negative effect on consumer's intension to click. This study has significant implications for digital marketing bt comparing consumer responses according to the type of recommended service. The result of this study can be helpful for providing and developing future recommender service.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.367-374
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• 2017

The purpose of this study was to examine brand reliability, product attitude, and purchase intention attitude on a difference in a type between information source (General person / Company) in Sina Weibo. A questionnaire survey was conducted targeting 160 people. Questionnaire was conducted from April 3-7, 2017. The analysis was used 77 people for the General posting without error and 70 people for the Corporate posting. As a result of the research, general person posting is higher preference than public posting in brand reliability(General person M=2.5455/Company M=2.1306), product attitude(General person M=2.4589/Company M=1.9690), and purchase intention(General person M=2.5974/Company M=2.2750) according to type of posting information in Sina Weiboo. The outcome of this study will help to understand consumers' attitudes according to types of sources in China SNS.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.143-155
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• 2016

This study conducted a survey and emperical analysis of SNS based consumer experience visits to eat out companies. A total of 350 questionnaires were collected of which 28 were deemed unreliable, leaving 322 responses to be used in the analysis. SPSS 22.0 was employed to carry out frequency analysis, factor analysis, and reliability analysis, correlation analysis, and regression analysis. First, choose eat out properties multiple regression analysis on the impact on customer satisfaction, overall explanatory power of the regression equation $R^2=.521$ (adjusted $R^2=.515$) and F values were analyzed statistically significant the influence of the positive (+) with 86.325 p=0.000 and the regression equation. Content type pursuit of independent variables (B=0.540, p<0.001), seeking safety type (B=0.292, p<0.001) were significantly appeared showed the influence of the positive (+), Pursuit convenience-type (B=0.071, p<0.001) and the pursuit of dignity type (B=0.002, p<0.001) the sub-showed the influence of (-). Second, the multiple regression analysis on the impact on customer satisfaction to others is recommended explanatory power is $R^2=.539$ (adjusted $R^2=.538$) and F values are analyzed by a statistical regression equation p=0.000 and 374.765 in significance showed that the model fit the regression line. Customer satisfaction is the independent variable was the influence of the positive (+) to (B=0.540, p<0.001).

• Convergence Security Journal
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• v.22 no.5
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• pp.11-20
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• 2022

As the Internet and web technology develop around mobile devices, image data contains various types of sensitive information such as people, text, and space. In addition to these characteristics, as the use of SNS increases, the amount of damage caused by exposure and abuse of personal information online is increasing. However, research on de-identification technology based on multi-type object detection for personal information protection is insufficient. Therefore, this paper proposes an artificial intelligence model that detects and de-identifies multiple types of objects using existing single-type object detection models in parallel. Through cutmix, an image in which person and text objects exist together are created and composed of training data, and detection and de-identification of objects with different characteristics of person and text was performed. The proposed model achieves a precision of 0.724 and mAP@.5 of 0.745 when two objects are present at the same time. In addition, after de-identification, mAP@.5 was 0.224 for all objects, showing a decrease of 0.4 or more.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.197-218
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• 2019

In addition to economic growth and national income increase, China is also experiencing rapid growth in consumption of cosmetics. About 67% of the total trade volume of Chinese cosmetics is made by e-commerce and especially K-Beauty products, which are Korean cosmetics are very popular. According to previous studies, 80% of consumer goods such as cosmetics are affected by the word of mouth information, searching the product information before purchase. Mostly, consumers acquire information related to cosmetics through comments made by other consumers on SNS such as SINA Weibo and Wechat, and recently they also use information about beauty related video channels. Most of the previous online word-of-mouth researches were mainly focused on media itself such as Facebook, Twitter, and blogs. However, the informational characteristics and the expression forms are also diverse. Typical types are text, picture, and video. This study focused on these types. We analyze the unstructured data of SINA Weibo, the SNS representative platform of China, and Meipai, the video platform, and analyze the impact of K-Beauty brand sales by dividing online word-of-mouth information with quantity and direction information. We analyzed about 330,000 data from Meipai, and 110,000 data from SINA Weibo and analyzed the basic properties of cosmetics. As a result of analysis, the amount of online word-of-mouth information has a positive effect on the sales of cosmetics irrespective of the type of media. However, the online videos showed higher impacts than the pictures and texts. Therefore, it is more effective for companies to carry out advertising and promotional activities in parallel with the existing SNS as well as video related information. It is understood that it is important to generate the frequency of exposure irrespective of media type. The positiveness of the video media was significant but the positiveness of the picture and text media was not significant. Due to the nature of information types, the amount of information in video media is more than that in text-oriented media, and video-related channels are emerging all over the world. In particular, China has made a number of video platforms in recent years and has enjoyed popularity among teenagers and thirties. As a result, existing SNS users are being dispersed to video media. We also analyzed the effect of online type of information on the online cosmetics sales by dividing the product type of cosmetics into basic cosmetics and color cosmetics. As a result, basic cosmetics had a positive effect on the sales according to the number of online videos and it was affected by the negative information of the videos. In the case of basic cosmetics, effects or characteristics do not appear immediately like color cosmetics, so information such as changes after use is often transmitted over a period of time. Therefore, it is important for companies to move more quickly to issues generated from video media. Color cosmetics are largely influenced by negative oral statements and sensitive to picture and text-oriented media. Information such as picture and text has the advantage and disadvantage that the process of making it can be made easier than video. Therefore, complaints and opinions are generally expressed in SNS quickly and immediately. Finally, we analyzed how product diversity affects sales according to online word of mouth information type. As a result of the analysis, it can be confirmed that when a variety of products are introduced in a video channel, they have a positive effect on online cosmetics sales. The significance of this study in the theoretical aspect is that, as in the previous studies, online sales have basically proved that K-Beauty cosmetics are also influenced by word-of-mouth. However this study focused on media types and both media have a positive impact on sales, as in previous studies, but it has been proven that video is more informative and influencing than text, depending on media abundance. In addition, according to the existing research on information direction, it is said that the negative influence has more influence, but in the basic study, the correlation is not significant, but the effect of negation in the case of color cosmetics is large. In the case of temporal fashion products such as color cosmetics, fast oral effect is influenced. In practical terms, it is expected that it will be helpful to use advertising strategies on the sales and advertising strategy of K-Beauty cosmetics in China by distinguishing basic and color cosmetics. In addition, it can be said that it recognized the importance of a video advertising strategy such as YouTube and one-person media. The results of this study can be used as basic data for analyzing the big data in understanding the Chinese cosmetics market and establishing appropriate strategies and marketing utilization of related companies.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.341-349
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• 2018

This study aimed to investigate the tendency of nationalism and globalization of Korean by analyzing their emotions in sport phase. The SNS comments of newspaper articles on 2016 Brazil Olympics were selected and used to analyze types of nationalism with its emotional texts. The results were as followings; First, the words which showed nationalistic tendency represented each sport phase. Second, Korean showed strong resistant nationalism when their historical background was stimulated by the situation. Third, the most dominant type of Korean's nationalism in sport emotion was the closed. This study could be valued with the empirical approach on the sport emotion and nationalism tendency of Korean.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.399-404
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• 2020

The purpose of this study is to find out the consumer's purchasing behavior and its factors when a convenience store brand is marketing new PB products online. For this study, we surveyed 2030 millennials about the purchase behavior of convenience store PB products and the paths to encounter PB products. As a result, consumers who purchase convenience store PB products were exposed to the product through SNS or YouTube, and they tended to join the trend by posting on SNS after purchase. In this study, we want to examine the consumption trends of millennials that have this type of consumption and the concept of online marketing that affects them. It is hoped that future consumer purchases will continue to be valuable consumption rather than relying on trends.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.49-58
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• 2019

There have been studies on the satisfaction, preference, and post occupancy evaluation of urban parks in order to reflect users' preferences and activities, suggesting directions for future park planning and management. Despite using questionnaires that are proven to be affective to get users' opinions directly, there haven been limitations in understanding the latest changes in park use through questionnaires. This study seeks to address the possibility of utilizing the thirdgeneration SNS data, Instagram and Google, to compare behavior patterns and trends in park activities. Instagram keywords and photos representing user's feelings with a specific park name were collected. We also examined reviews, peak time, and popular time zones regarding selected parks through Google. This study tries to analyze users' behaviors, emerging activities, and satisfaction using SNS data. The findings are as follows. People using park near residential areas tend to enjoy programs being operated in indoor facilities and to like to use picnic places. In an adjacent park of commercial areas, eating in the park and extended areas beyond the park boundaries is found to be one of the popular park activities. Programs using open spaces and indoor facilities were active as well. Han River Park as a detached park type offers a popular venue for excercises and scenery appreciation. We also identified companionship characteristics of different park types from texts and photos, and extracted keywords of feelings and reviews about parks posted in $3^{rd}$ generation SNS. SNS data can provide basis to grasp behavioral patterns and satisfaction factors, and changes of park activities in real time. SNS data also can be used to set future directions in park planning and management in accordance with new technologies and policies.