• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.133-139
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• 2020

The purpose of this study is to contribute to the provision of basic data for psychological quarantine policy and counseling by examining the public perception of the "corona blue" phenomenon through analysis of social media big data. To do this, key words related to the word 'Corona Blue' were derived and analyzed using the big data analysis program 'Textom'. As a result of the analysis, words such as 'Corona 19', 'depression', 'problem' and 'overcome' were derived as key words. For the analysis results,"pride and awarenes as the public perception of Corona 19", "depression and anxiety as a group trauma as the corona blue phenomenon", "spreading a psychological quarantine culture and demanding social healing as the perception of overcoming corona Blue," and "hope for return to daily life and changes in daily life as the perception of post corona" were discussed. In conclusion, we have identified the need for active psychological support from the community By revealing that Corona Blue is a depression as a group trauma. At this time, it is confirmed that it is necessary to prioritize social healing and psychological quarantine for the main risk groups such as youth or the vulnerable, who are the socially weak.

• 한국콘텐츠학회논문지
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• 제13권1호
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• pp.164-174
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• 2013

스마트폰의 급속한 보급과 함께 카카오톡, 페이스북, 문자메시지와 같은 문자기반 매체의 활용도가 증가하여 대인간의 주요 의사소통 매체로서 자리 잡고 있다. 본 연구에서는 문자기반 매체들에서 사회적 현존감이 서로 다르게 인지되고 있다는 점에 착안하여 각 매체별로 인지되는 사회적 현존감을 비교 분석하기 위해 설문을 구성하여 데이터를 수집하였다. 분석 결과 사용자는 자신이 가장 많이 사용하는 매체가 사회적 현존감이 높다고 인식하고 있었으며, 매체별로는 카카오톡, 페이스북, 문자메시지 순으로 사회적 현존감이 높게 인식되고 있었고, 각 매체별 사회적 현존감에는 차이가 있는 것으로 나타났다. 사용자가 사회성이 높고, 20대 이하이며, 학생일수록 다른 그룹들보다 사회적 현존감을 상대적으로 높게 인식하는 것으로 나타났다. 사회적 현존감이 실제 사용에 있어 영향을 미치고 있음을 찾아낸 본 연구에 후속으로는 어떠한 매체적 특성이 사회적 현존감의 차이를 불러일으키는지 연구가 필요할 것으로 보인다.

• Journal of Information Technology Applications and Management
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• 제16권1호
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• pp.169-183
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• 2009

The purpose of this research, based on the Media Selection Theory, the Technology Acceptance Model, and the Social Influence Theory, is to investigate the influential factors that affect media selection in banking transactions. Analyses showed that for location sensitive bank windows and ATMs(automatic teller machines), defined as offline-based transaction channels, convenience was the variable affecting media selection. However, in the case of online media not related to location, (phone banking, internet banking, and mobile banking) reliability was the significant variable influencing use. The findings show that banking organizations may benefit from identifying traits of media affecting use, and should differentiate customer services for competitive advantage.

• 유통과학연구
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• 제18권4호
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• pp.61-72
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• 2020

Purpose: Usage of leisure-sport social media would lengthen and strengthen the effects of positive event experiences on WOM behavior. This study is to examine the extent to which leisure sport social media use has the moderating potential to enhance the direction of the relationship between post-event emotions and event WOM behavior. Research design, data and methodology: A running event located in a major metropolitan area in the southeastern United States was selected. Participants of the running events completed the survey. Descriptive analysis and correlations between primary variables of interest were conducted. To examine interactions within the context of moderated regression, a hierarchical regression analysis was employed. Results: The results confirmed direct effects of a sense of achievement and event satisfaction on event WOM intention, supporting H 1 and H2. In specific, result revealed that the amount of time spending on social media for running content moderated the effect of a sense of achievement on event WOM intention, supporting H3, however, H4 was rejected. Conclusions: There are managerial implications of these results, particularly which pertain to how organizers may be able to use perceived benefits (i.e., a sense of achievement and satisfaction) and social media to increase positive WOM intention.

• 한국의상디자인학회지
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• 제16권3호
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• pp.33-48
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• 2014

Based on the advent and dissemination of new developments concerning information & telecommunications technology, web services have brought new paradigms into society, thus facilitating the birth and evolution of various service industries to society as a whole. This study is aimed at investigating the expansion of the first Birthday party culture and design examples of the first Birthday partywear appearing in social media, through an inquiry into the communication functions inherent in social media. Also, the development of the first Birthday partywear designs for women aged 20 to 30 years was accomplished by categorically analyzing design characteristics in preferred fashion styles uploaded and shared within online childcare communities. First, it can be concluded that due to the bidirectional flow of information between corporations and consumers occurring from the expansion of social media, the entire structure of the market is undergoing great changes. Next, the need for the supply of professionalized the first Birthday partywear can be proved by the influx of party planners and caterers into this new industry. Third, Through a categorical analysis of these 523 photos, elegance style was the most preferred while classic and romantic styles followed. Last of all, 5 pieces of partywear reflecting contemporary consumer lifestyles which focus on 'enjoying one's own life' were created under the concept of 'Romantic chic'. The created designs aim to present a style which follows the predominant trend of elegance, classic and romantic, whilst keeping sensitivity in moderation. In this context, this study has aimed to present fundamental research data in the field of online the first Birthday partywear, through the development of the first Birthday partywear design based on the first Birthday party consumer characteristics gleaned from various forms of social media.

• 경영정보학연구
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• 제22권4호
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• pp.93-113
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• 2020

본 연구는 소셜미디어 사용에 있어 like 기능에 대한 인식이, 자신이 받은 like의 수에 의해 어떻게 영향을 받는 지 알아보았다. 일반적으로 사람들은 like의 개수가 콘텐츠의 질과 유명세를 반영한다고 생각한다. 그러나 본 연구는 사람들이 like에 대해 고정된 인식을 갖고 있지 않고, 상황에 따라 변하는, 양가적인 인식을 가진다는 점에서 출발하였다. 구체적으로, 연구모델은 사람들로부터 받은 like에 대한 감정적인 반응이 like의 가치 판단에 영향을 미칠 수 있다고 제안한다. 또한 그 과정에서 생성되는 like에 대한 모순적인 판단을 전통적으로 알려진 지각에서 감정으로 생성되는 메커니즘을 감정에서 지각으로 형성되는 메커니즘으로 전환함으로써 해결한다고 제안한다. 이에 대한 검증은 548명의 소셜미디어 사용자들을 대상으로 이루어졌다. 분석 결과는 소셜 미디어 사용자들의 like에 대한 태도는 그들이 받은 like 수에 대한 감정적 반응에 영향을 받는다는 것을 보여주었다. 본 연구는 소셜 미디어 사용자들의 like에 대한 양가적인 태도를 그들이 받은 like의 수에 대한 가치 판단을 기반으로 설명한다는 점에서 시사점을 준다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권2호
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• pp.583-600
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• 2014

Social media is considered a valuable platform for gathering and analyzing the collective and subconscious opinions of people in Internet and mobile environments, where they express, explicitly and implicitly, their daily preferences for brands and products. Extracting and tracking the various attitudes and concerns that people express through social media could enable us to categorize brands and decipher individuals' cognitive decision-making structure in their choice of brands. We investigate the cognitive network structure of consumers by building an inter-category map through the mining of big data. In so doing, we create an improved online recommendation model. Building on economic sociology theory, we suggest a framework for revealing collective preference by analyzing the patterns of brand names that users frequently mention in the online public sphere. We expect that our study will be useful for those conducting theoretical research on digital marketing strategies and doing practical work on branding strategies.

• 산업경영시스템학회지
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• 제41권2호
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• pp.9-15
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• 2018

This study is intended to investigate that it is possible to analyze the public awareness and satisfaction of the weather forecast service provided by the Korea Meteorological Administration (KMA) through social media data as a way to overcome limitations of the questionnaire-based survey in the previous research. Sentiment analysis and association rule mining were used for Twitter data containing opinions about the weather forecast service. As a result of sentiment analysis, the frequency of negative opinions was very high, about 75%, relative to positive opinions because of the nature of public services. The detailed analysis shows that a large portion of users are dissatisfied with precipitation forecast and that it is needed to analyze the two kinds of error types of the precipitation forecast, namely, 'False alarm' and 'Miss' in more detail. Therefore, association rule mining was performed on negative tweets for each of these error types. As a result, it was found that a considerable number of complaints occurred when preventive actions were useless because the forecast predicting rain had a 'False alarm' error. In addition, this study found that people's dissatisfaction increased when they experienced inconveniences due to either unpredictable high winds and heavy rains in summer or severe cold in winter, which were missed by weather forecast. This study suggests that the analysis of social media data can provide detailed information about forecast users' opinion in almost real time, which is impossible through survey or interview.

• Genomics & Informatics
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• 제19권3호
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• pp.21.1-21.5
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• 2021

The use of social media data, like Twitter, for biomedical research has been gradually increasing over the years. With the coronavirus disease 2019 (COVID-19) pandemic, researchers have turned to more non-traditional sources of clinical data to characterize the disease in near-real time, study the societal implications of interventions, as well as the sequelae that recovered COVID-19 cases present. However, manually curated social media datasets are difficult to come by due to the expensive costs of manual annotation and the efforts needed to identify the correct texts. When datasets are available, they are usually very small and their annotations don't generalize well over time or to larger sets of documents. As part of the 2021 Biomedical Linked Annotation Hackathon, we release our dataset of over 120 million automatically annotated tweets for biomedical research purposes. Incorporating best-practices, we identify tweets with potentially high clinical relevance. We evaluated our work by comparing several SpaCy-based annotation frameworks against a manually annotated gold-standard dataset. Selecting the best method to use for automatic annotation, we then annotated 120 million tweets and released them publicly for future downstream usage within the biomedical domain.

• 한국산학기술학회논문지
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• 제16권2호
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• pp.1016-1025
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• 2015

이 연구의 목적은 대학 스포츠팀의 SNS의 사용자를 분석하여 어떠한 사용자가 온라인상에서 정보공유와 전달에 있어서 영향력이 있는지를 규명하는 것에 있다. 이를 위하여 영향력 있는 사용자는 대학의 공식 계정, 미디어 계정, 비전문가 일반인 계정으로 구분되었다. 이를 위해 NCAA Division 1에 속해있는 대학교들을 대상으로, 편의표본추출법을 이용하여 총 14개의 공식 트위터 계정이 선정되었다. 분석결과, 남자 스포츠에서는 비전문가 일반인 계정이 영향력 있는 사용자 중 가장 높은 비율을 차지하였으며, 미디어계정과 대학공식 계정이 뒤를 이었다. 여자 스포츠에서는 비전문가 일반인 계정이 영향력 있는 사용자 중에 가장 높은 비율을 차지하였으며, 대학의 공식계정과 미디어계정이 뒤를 이었다. 이 연구의 결과는 스포츠시장에서 점차 중요도가 높아지고 있는 SNS를 활용한 다양한 마케팅 전략과 후속연구를 위한 기초자료를 제공한다.