• Smart Media Journal
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• v.12 no.11
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• pp.165-174
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• 2023

This study sought to identify the causal relationship between variables through empirical analysis between Chinese female consumers' beauty SNS marketing, brand image, and brand attitude. Through the results of this study, it was confirmed that a causal relationship exists between each variable. In particular, it was confirmed that interactivity, a sub-factor of beauty SNS marketing, is a key factor influencing the variables of brand image and brand attitude. In addition, accessibility, a sub-factor of beauty SNS marketing, is also an important factor affecting brand image and brand attitude. It was confirmed that vitality and informativeness are important factors influencing brand image and brand attitude in that order.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.507-519
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• 2021

This paper attempts to explore advertising factors that affect TikTok advertising effectiveness by identifying motivations to use a short-form video social media platform, TikTok and further looking at perceptions of and attitudes toward TikTok advertising. The results of in-depth interviews with 20s-30s TikTok users suggest that users are motivated to use TikTok for information and fun. Further, TikTok is characterized as a short-form video, rich contents, and a novel format. Regarding TikTok advertising, the results reveal that usefulness, enjoyment, easiness of advertising skip, sense of closeness, and interaction are significant factors of TikTok advertising. Finally, it is suggested that users respond to the advertising by clicking 'like', writing comments, sharing, clicking 'purchase link'/advertiser's website, and creating user-created contents and so on. These findings theoretically contribute to the literature on social media advertising, and practically offer strategic guidelines for TikTok advertising.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.331-350
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• 2022

This study aims to understand topics of incivility related to COVID-19 from analyzing Twitter posts including COVID-19-related hate speech. To achieve the goal, a total of 63,802 tweets that were created between December 1st, 2019, and August 31st, 2021, covering three targets of hate speech including region and public facilities, groups of people, and religion were analyzed. Frequency analysis, dynamic topic modeling, and keyword co-occurrence network analysis were used to explore topics and keywords. 1) Results of frequency analysis revealed that hate against regions and public facilities showed a relatively increasing trend while hate against specific groups of people and religion showed a relatively decreasing trend. 2) Results of dynamic topic modeling analysis showed keywords of each of the three targets of hate speech. Keywords of the region and public facilities included "Daegu, Gyeongbuk local hate", "interregional hate", and "public facility hate"; groups of people included "China hate", "virus spreaders", and "outdoor activity sanctions"; and religion included "Shincheonji", "Christianity", "religious infection", "refusal of quarantine", and "places visited by confirmed cases". 3) Similarly, results of keyword co-occurrence network analysis revealed keywords of three targets: region and public facilities (Corona, Daegu, confirmed cases, Shincheonji, Gyeongbuk, region); specific groups of people (Coronavirus, Wuhan pneumonia, Wuhan, China, Chinese, People, Entry, Banned); and religion (Corona, Church, Daegu, confirmed cases, infection). This study attempted to grasp the public's anti-citizenship public opinion related to COVID-19 by identifying domestic COVID-19 hate targets and keywords using social media. In particular, it is meaningful to grasp public opinion on incivility topics and hate emotions expressed on social media using data mining techniques for hate-related to COVID-19, which has not been attempted in previous studies. In addition, the results of this study suggest practical implications in that they can be based on basic data for contributing to the establishment of systems and policies for cultural communication measures in preparation for the post-COVID-19 era.

• 지역과문화
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• v.7 no.2
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• pp.155-172
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• 2020

This study analyzed the factors to customer attitude on the goods and service introduced in UGC(User Generated Contents) and explored the difference between Korean and Chinese customers. For the first research question, the hypothetical factors were selected through literature review, the area of which are media consumption, social media and effect of advertising. In this study examined 4 independent variables: information, reliability, BJ attractiveness and customer innovation. Methodologies are confirmatory factor analysis, correlation analysis and multi regression. Result showed that reliability, BJ attractiveness and customer innovation are statistically significant. According to the β value, the biggest one is customer innovation, the second one is BJ attractiveness and the third one is reliability. The influence of information on customer attitude is not statistically significant. The result is well-aligned with the prior studies. The information factor's influence, however, is disputable because some prior studies shows that it is not significant when the research samples are recently developed channel such as mobile or social media commerce platforms. It is necessary to identify the root causes why the information factor is not significant in some research cases. For the second research question, this study used independent t-test between Korean and Chinese customers. The result shows that the difference in reliability, BJ attractiveness and attitude are stastically significant, and the ratings of Chinese customers are higher. This result caused by the difference of media commerce environment between Korea and China. Information and customer innovation didn't show significant difference.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.65-81
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• 2015

Altmetircs is the new method to measure social impact of research result which couldn't be found by traditional way, through measuring how much research result is reacting to social media. As academic communication has been diverse and OA repository which can preserve diverse type of article has been activated, New paradigm that measure impact of articles through multifaceted and complex way has been started. This study considers background, status of application, pros and cons about altmetircs. And by using Impactstory which is open source based tool, analyses the research output about digital library of Korea, china and japan which is published in international journal. Besides, analyses correlation between Altmetricss and citation rates. As results, "saved" shows higher than "cited" in library research analysis, it means that even though articles are not cited by followed study, there are a lot of articles that has saved in reference management tool. And positive correlation(r = 0.718) exists between "saved" and "cited", it can be inferred that Altmetricss complement the bibliometrics based evaluation system. Meanwhile, Korean researches are saved more in reference management tool than other countries.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.169-177
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• 2021

Based on the technostress theory, this study aims to explore the effect of technostress caused by the use of social media during or after work hours on job turnover intention. This study conducted an online survey targeting 341 Chinese WeChat users. According to the results of the structural model analysis, role overload, role conflict, and work invasion that occur during work affect technostress, and social interaction overload, invasion of private life, and Fear of Missing Out (FoMO) that occur after work have a effect on technostress as well. Technostress occurring during work did not appear to have an effect on turnover intention, but technostress occurring after work was found to have a positive effect on turnover intention. It is expected that this study will be used as a basic data for the correct use of social media within an organization.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.307-322
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• 2021

This study examined the influence of social media on the beauty industry and analyzed beauty-related content on social media in China, Thailand, and Indonesia. The existing literature was reviewed and four social media platforms that display the active sharing of beauty-related content in the three stated countries were selected. Five information sources were then chosen from each social media platform and 115 top posts from these sources analyzed. Beauty-related material was shared on discrete social media platforms in the three countries. Differences were found in the presentation types, themes, and message strategies of the content depending on the type of product and services provided by each social media platform. The content on Xiao Hongshu in China consisted of images showcasing product specifications along with a focus on honest and detailed empirical product review messages from its general users. From Taobao Zibo, Wang Hong conveyed powerful and influential information that communicated instantly with viewers and delivered entertaining and sensory messages. In Thailand earnest reviews of beauty products were offered, along with firsthand testimonials through traditional content uploaded on YouTube. In Indonesia, beauty influencers posted creative and sensational photographs of makeup products on image-centered Instagram. This study expands the current scholarship on social media platforms and extends the scope of the extant research on beauty-related content in Asian countries. The practical implications of this study include useful indications on how beauty brands can use social media to promote their products.

• Korea Science and Art Forum
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• v.22
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• pp.393-402
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• 2015

This study investigated Seoul's image as a tourism destination that Chinese tourists perceived, taking advantage of Chinese Social Media "Renren". The study used visual method (V-method) to collect images and analyzed them in terms of convergent disciplinary approach. It searched Chinese word, "首爾", in Renren social network. 526 Seoul's photos were collected from 129 users' mini-homepage. Destination planners and marketers should understand how the Chinese tourists perceive the Seoul's image and recognize the contribution factors to representations of the city. It is recommended that more cultural experience should be offered to Chinese tourists.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.317-324
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• 2021

This study deals with keywords from social media on domestic portal sites related to COVID-19, which is spreading widely. The data were collected between January 20 and August 15, 2020, and were divided into three stages. The precursor period is before COVID-19 started spreading widely between January 20 and February 17, the serious period denotes the spread in Daegu between February 18 and April 20, and the stable period is the decrease in numbers of confirmed infections up to August 15. The top 50 words were extracted and clustered based on TF-IDF. As a result of the analysis, the precursor period keywords corresponded to congestion of the Situation. The frequent keywords in the serious period were Nation and Infection Route, along with instability surrounding the Treatment of COVID-19. The most common keywords in all periods were infection, mask, person, occurrence, confirmation, and information. People's emotions are becoming more positive as time goes by. Cafes and blogs share text containing writers' thoughts and subjectivity via the internet, so they are the main information-sharing spaces in the non-face-to-face era caused by COVID-19. However, since selectivity and randomness in information delivery exists, a critical view of the information produced on social media is necessary.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.9
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• pp.59-70
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• 2016

The rapid development of the Chinese version of Twitter, the groom Weibo has become an important communication means for Chinese SNS users to obtain and share information. As a result, in China, the phenomenon of the power shift has emerged from the traditional opinion leaders to SNS opinion leasers. The relationship analysis of demographic variables of the Chinese SNS users and their Information on the relationship between keywords was made by utilizing the centrality analysis using Social Network Program NetMiner. China's SNS opinion leaders have general interest in daily activities with their families or friends rather than in social issues. And in case of SNS opinion leaders of high betweenness centrality, it was analyzed that general users was a key mediator role that organically out lead to the adjacent information. These properties are not independent of demographic variables, such as professional, therefore, the demographic characteristics of SNS opinion leaders showed a significant effect on the parameters of betweenness centrality. This study analyzed the characteristics of SNS users, especially opinion leaders in China by looking at the aspects of Chinese social phenomenon in terms of information. Through this study, we expect to provide basic information about the social characteristics of China through collective communication.