• Title/Summary/Keyword: social media activity analysis

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The Formation and the Features of Modern Body Aesthetics in Modern Korea (근대 한국 사회에서의 모던 신체미의 형성과 특성)

  • Park, Hye-Won
    • Journal of the Korean Society of Costume
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    • v.62 no.2
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    • pp.122-135
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    • 2012
  • The purpose of this study is to figure out what the beauty of the modern body means and symbolizes from the aesthetic, sociocultural, and psychological perspectives and to investigate how it was formed in the modern Korean society. The data were obtained from the magazines and newspapers published from 1920 to 1939 and analyzed by qualitative content analysis. The results were as follows: First, the modern body from an aesthetic standpoint was characterized by the beauty of westernization, healthy body shape, sensuality, curvaceousness, activity, balance and harmony, and artificiality. The beauty of the modern body from a sociocultural perspective symbolized modern culture and implied the value evaluated by visual appearance. Therefore, the modern body became an object of consumption and the physical capital that gave women chances for their social success and happy marriages. The beauty of the modern body from a psychological viewpoint expressed individuality as a modern ego. Second, the formation of modern body esthetics was explained within the context of social comparison theory. The ideal body suggested by mass media was internalized as the aesthetic standard women used to create modern bodies and with which they compared their created bodies.

Public Perception and Usage Pattern of Science Museum by Social Media Big Data Analysis (소셜 빅데이터 분석을 통해 알아본 대중의 과학관에 대한 인식 및 사용 행태)

  • Yun, Eunjeong;Park, Yunebae
    • Journal of The Korean Association For Science Education
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    • v.37 no.6
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    • pp.1005-1014
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    • 2017
  • Focusing on the role of the science museum as an institution to improve the scientific literacy of the public, this study investigated public perception and behavior about science museum to know how much science museums affect the public by using social media big data analysis. For this purpose, we extracted texts containing 'science museum' in Naver blogs and Twitter, analyzed them by using network, frequency, co-ocurrence, and semantics analysis and compared them with the results in English speaking countries. As a result, blogs were mainly concerned with science museum among parents who have young children, while in Twitter posts from many students who visited as a group appeared. Therefore, the Korean public used science museum mainly as a space for children's experience, and in this case, programs and exhibitions of science museums are perceived positively. On the other hand, students who visited as a group showed some negative emotions. The result of comparison with the cases of foreign countries in terms of the function of the third generation science museum such as communications with the science museum and the public and the participation of the public in science, the Korean public hardly mentioned the scientific contents, words related to communications such as 'argue', and curators or staff after visiting the science museum. In contrast to many verbs related to meaningful activities such as 'learn', 'participate', 'listen', 'read', 'ask', 'think' appeared in English, only a small number of verbs include 'ask' and 'thin' appeared in Korean. Therefore, science museum need to improve impression, communicating with public, and involving activity with impact and variety after visit.

An Analysis of IT Trends Using Tweet Data (트윗 데이터를 활용한 IT 트렌드 분석)

  • Yi, Jin Baek;Lee, Choong Kwon;Cha, Kyung Jin
    • Journal of Intelligence and Information Systems
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    • v.21 no.1
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    • pp.143-159
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    • 2015
  • Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.

'Elderly image' Analysis Using Big Data and Social Networking Techniques (빅데이터와 사회연결망 기법을 이용한 '노인 이미지' 분석)

  • Han, Sun-Bo;Lee, Hyun-Sim
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.253-263
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    • 2016
  • We analyzed the social issue 'image of the elderly' using Big Data and Social Network Analysis. First, we analyzed the words extracted by the text mining technique by inputting the keyword 'elderly'. As a result of analysis, the image of the elderly viewed through media such as cafes, blogs, etc. Representing the trend of the public was using the word 'Senior' the most. The image of the elderly is expressed using the word having the highest frequency in the top 10, "The elderly are 'Senior' people who are respected by society, they are organized to earn money, to earn their qualifications, to health, and to 'Seniors' who desire to work healthy up to 100 years old". The purpose of this study is to differentiate from the existing analysis method by analyzing the macro-level image of the elderly including the social discourse by collecting vast amount of data and analyzing it with the social networking technique. When the image of the elderly that the public perceives is positively expressed as 'Senior', it can be said that the direction of the current elderly policy is evaluated as a desirable direction. On the other hand, it was able to feel the 'desire' of the public who wanted to be evaluated. Therefore, the policy direction of the elderly to be applied in the future should be the policy that enables the elderly to be perceived as 'Necessary existence' in society by taking on social roles. In addition, we proposed to implement the policy of the elderly that reflects priorities such as job creation, welfare, and alienation that can activity and maintain health.

A Comparative Analysis of TV News Frame based on the Public Enterprise: The Korean Grand Canal Project (한반도 대운하 건설에 대한 방송뉴스 보도 분석)

  • Im, Yang-June
    • Korean journal of communication and information
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    • v.52
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    • pp.5-26
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    • 2010
  • This study explores how major Korean television evening news report, interpret and evaluate the Korean Grand Canal Project(KGCP). For this research, 488 news clips regarding the KGCP are selected among the MBC, KBS and SBS daily evening news. As a result, the findings are as follows: First, the ratios of analyzing reports for MBC, brief reports for KBS, and straight news for SBS are outstanding. At the same time, the three news companies show that they are against the KGCP through the reporting attitudes. However, the most frequently broadcasted news frames is the authoritative political execution for both MBC and KBS, and the political agenda for SBS news respectively. In terms of the most frequently interviewed group for all three news is the government and ruling Grand National Party; they are the most favor of the authoritative political executions and the political agenda news frames. However, the NGO groups and the opposition parties which are against the KGCP support "Process" in terms of the frames activity. Finally, MBC speaks out the frame activity of "Process", supporting the political opposition parties and NGO groups. On the country, both KBS and SBS speak up the government and ruling party, supporting the KGCP, stressing frame activity of "Aspiration". This it concludes that both KBS and SBS are short of the social responsibilities as a social media mediator for the social disputes between the government and the NGO groups, including opposition parties.

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Factors Associated with the Time Use in Leisure Activity and Social Gathering of the Youth - Focused on the Effects of Engaging Role Types of the Youth - (청년의 여가시간과 교제시간에 대한 영향요인 탐색 -청년 역할유형의 영향을 중심으로-)

  • Joung, Eun-Hee;Joo, Eun-Sun
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.623-639
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    • 2020
  • This study explores the factors associated with the amount of time use in leisure and social gathering activities. The analysis shows that the engaging role types of the youth, for example housekeeping and care giving, or working on the paid job are associated with the amount of time use in leisure activities. However, the factors related to time use in social gathering activities are the engaging role types of youth as well as the socializing opportunity. Compared to the other role types of the youth, the youth who are preparing for a job and is not engaged in employment, education, and training(NEET) spend more time in media leisure, travel and cultural activities, sports and reports activities, however spend less time in social gathering compared to students. The youth who have a job spend the least time in all of the leisure activities except travel and cultural activities for a weekend. Policy should remove the barriers in leisure activities and increase the opportunities for socializing.

Outdoor Healing Places Perception Analysis Using Named Entity Recognition of Social Media Big Data (소셜미디어 빅데이터의 개체명 인식을 활용한 옥외 힐링 장소 인식 분석)

  • Sung, Junghan;Lee, Kyungjin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.50 no.5
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    • pp.90-102
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    • 2022
  • In recent years, as interest in healing increases, outdoor spaces with the concept of healing have been created. For more professional and in-depth planning and design, the perception and characteristics of outdoor healing places through social media posts were analyzed using NER. Text mining was conducted using 88,155 blog posts, and frequency analysis and clique cohesion analysis were conducted. Six elements were derived through a literature review, and two elements were added to analyze the perception and the characteristics of healing places. As a result, visitors considered place elements, date and time, social elements, and activity elements more important than personnel, psychological elements, plants and color, and form and shape when visiting healing places. The analysis allowed the derivation of perceptions and characteristics of healing places through keywords. From the results of the Clique, keywords, such as places, date and time, and relationship, were clustered, so it was possible to know where, when, what time, and with whom people were visiting places for healing. Through the study, the perception and characteristics of healing places were derived by analyzing large-scale data written by visitors. It was confirmed that specific elements could be used in planning and marketing.

The Analysis of Leisure Time Use of Urban Dual-earner Couples with Preschool Children (미취학 자녀를 둔 도시 맞벌이 부부의 여가시간에 관한 연구)

  • Han, Young-Sun;Yoon, So-Young
    • Journal of the Korean Home Economics Association
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    • v.47 no.2
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    • pp.81-95
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    • 2009
  • The purpose of this study is to examine gender equity in the quantity and flow experience of leisure time of urban dual-earner couples having preschool children. The quantity of leisure time is measured by primary activity and the flow experience of leisure time is measured by primary and secondary activities. The data collected by Korean National Statistical Office in 2004 is used. The sample for this study consists of 255 couples, and the statistical methods are frequency, percentage, paired t-test, and one-way ANOVA. The following is a summary of the major findings. The first, the pattern of the leisure time was different between husbands and wives. The quantity of leisure time of husbands was longer than that of wives. The husbands spent more time to perform social activities, media contact, sports and outdoor activities, while women did more in religious activities. The second, husband's leisure flow experience was higher than that of wives. The pure leisure time of wives was shorter than that of husbands and wives experienced more contaminated leisure time by a secondary activity. In other words, wives's leisure is more likely to be interrupted, to involve episodes of shorter duration, and to be associated with personal care and unpaid work.

Development of Teaching-Learning Plans of Middle School Home Economics for Media Literacy: Focusing on Core Concept of 'Relationship' (미디어 리터러시 함양을 위한 중학교 가정과 교수·학습 과정안 개발: 핵심개념 '관계' 관련 단원을 중심으로)

  • Shim, Jaeyoung;Choi, Saeeun
    • Journal of Korean Home Economics Education Association
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    • v.32 no.4
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    • pp.1-18
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    • 2020
  • The purpose of this study is to improve media literacy through home economics education. To this end, in this study, developed were 10 teaching-learning plans, learning activity sheets, and teaching materials for the 'relationship' area, the core concept of the 2015 revised home economics curriculum, using the ADDIE method. Pre- and post-survey results after implementing the developed program showed statistically significant improvements in enhancing participants' ability to access media and critical understanding of media. Through this, also found was that the ability to express and produce one's own thoughts and feelings has improved. As a result of a qualitative analysis, it was found that students who participated in the class experienced an overall change in the performance goals of media literacy, especially in 'critical understanding and evaluation', and improved in media use ethics and social participation consciousness as well. It is significant that this study has developed a program that can foster media literacy in home economics education. It is expected to help improve the acceptability of media literacy education in home economics education, enhancement of the expertise of home economics teachers' media literacy education, and the improvement of teaching and learning activities in the field.

New Cyber Space for Literature and criticism: Applied to Social Network (문학과 비평의 새로운 사이버 공간: 소셜 네트워크의 적용)

  • Ko, In-Hwan;Jeong, Hwa-Young
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.93-98
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    • 2012
  • Literature has showing a phenomenon of the society and the year's issue for a long time. Many critics used index to do not only understand the years' but also just literature. That is, the literature was an essential method to express the society. However, it can be different for each people to have a view point for the literary work. Therefore, people has a self-analysis for the work, and the activity affect that the it can be difficult for people to public their interest for the literary. In this paper, we make new cyber space for social network of the literary and propose a framework that people can discuss their opinion for the literary work. In that time, we make a literary work as digital content.