• Title/Summary/Keyword: social media data

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The Effect of HIV/AIDS Education Program for Nursing Students by Video-Learning Methods (동영상 강의를 통한 간호대학생의 HIV/AIDS 교육의 효과)

  • Seo, Myoung Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.187-196
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    • 2020
  • This is a single group pre-post study conducted to confirm the effectiveness of HIV/AIDS education for nursing students, imparted via video-learning methods. Study participants enrolled were 93 students in the 4th grade of the Department of Nursing at J-City V University. Data were collected from May 26 to June 16, 2020, and were analyzed using descriptive statistics, paired t-test, independent t-test, ANOVA, and Pearson's correlation coefficient using the SPSS WIN 23.0 program. Results of this study confirm improvements in HIV/AIDS knowledge and attitude after attending video-learning modules. However, when assessing the details of attitude, insufficient data was obtained for difference in attitude toward social stigma recognition. Therefore, numerous attempts are required for imparting educational contents and methods that will positively alter social stigma recognition. The results of this study prove that video lectures are a useful teaching and learning method to transform the knowledge and attitude of nursing students towards HIV/AIDS. We believe that results obtained are meaningful, and provide a basis for imparting education by utilizing different media, such as a video-learning module.

A Study on the Perception Change of Bats after COVID-19 by Social Media Data Analysis (소셜미디어 데이터 분석을 활용한 COVID-19 전후 박쥐의 인식변화 연구)

  • Lee, Jukyung;Kim, Byeori;Kim, Sun-Sook
    • Journal of Environmental Impact Assessment
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    • v.31 no.5
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    • pp.310-320
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    • 2022
  • This study aimed to identify the change in the public perception of "bats" after the outbreak of the coronavirus (COVID-19) infection. Text mining and network analysis were conducted for blog posts, the largest social network in Korea. We collected 9,241 Naver blog posts from 2019 to 2020 just before the outbreak of COVID-19 in Korea. The data were analyzed with Python and NetMiner 4.3.2, and the public's perception of bats was examined through the relationship of keywords by period. Findings indicated that the frequency of bat keywords in 2020 increased more than 25 times compared to 2019, and the centrality value increased more than three times. The perception of bats changed before and after the outbreak of the pandemic. Prior to COVID-19, bats were highly recognized as a species of wildlife while in the first half of 2020, they were strongly considered as a threat to human society in relation to infectious diseases and health. In the second half of 2020, it was confirmed that the area of interest in bats expanded as the proportion of ecological and cultural types ofresearch increased. This study seeks to contribute to the expansion and direction of future research in bats by understanding the public's interest in the potential impact of the species as disease hosts post the COVID-19 pandemic.

Analyzing the Factors of Gentrification After Gradual Everyday Recovery

  • Yoon-Ah Song;Jeongeun Song;ZoonKy Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.175-186
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    • 2023
  • In this paper, we aim to build a gentrification analysis model and examine its characteristics, focusing on the point at which rents rose sharply alongside the recovery of commercial districts after the gradual resumption of daily life. Recently, in Korea, the influence of social distancing measures after the pandemic has led to the formation of small-scale commercial districts, known as 'hot places', rather than large-scale ones. These hot places have gained popularity by leveraging various media and social networking services to attract customers effectively. As a result, with an increase in the floating population, commercial districts have become active, leading to a rapid surge in rents. However, for small business owners, coping with the sudden rise in rent even with increased sales can lead to gentrification, where they might be forced to leave the area. Therefore, in this study, we seek to analyze the periods before and after by identifying points where rents rise sharply as commercial districts experience revitalization. Firstly, we collect text data to explore topics related to gentrification, utilizing LDA topic modeling. Based on this, we gather data at the commercial district level and build a gentrification analysis model to examine its characteristics. We hope that the analysis of gentrification through this model during a time when commercial districts are being revitalized after facing challenges due to the pandemic can contribute to policies supporting small businesses.

Bourdieu and Photography -A Critical Review of Bourdieu's Works in the Sociology of Photography- (부르디외와 사진 : 사진행위에 대한 부르디외의 분석이 갖는 의의와 한계)

  • Joo, Hyoung-Il
    • Korean journal of communication and information
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    • v.17
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    • pp.145-178
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    • 2001
  • Bourdieu is one of the few social science researchers who were interested in photography. Bourdieu's work on photography appears principally in two books: Un art moyen: Essai sur les usagrs sociaux de la photographie(1965) and La distinction(1979). In these books, Bourdieu analyzes the role of photography in the family life of peasants and small town and urban dwellers. He shows how different classes and groups express their esthetic worldview in response to different photographs and photographic styles. What Bourdieu analyzed is not just photography but ways of photographing and ways of looking at pictures. Through these analyses, Bourdieu explores the social definition of photography. Bourdieu's ideas on photographic practice in social life are as follows. First, the photography, especially family photography generally practiced, has the integrative function. It recreates the group by ritualizing and solemnizing the important moments of social life in which the group reaffirms its unity. Second, the photography as esthetic practice in search of legitimacy as a fine art becomes a means by which different classes are pitted against each other. Each of classes gives its own meaning to photographic practice. Despite its originality and persuasive power, Bourdieu's work on photography has its own limits. The data used by Bourdieu are 35 years old and relevant to European social life. Things has changed since. First, the technological improvement and innovation in photography was considerable. Cheap and good photographic materials, easy to operate, made photographic practice everybody's everyday activity. New media like camcorder and digital camera made photography one of the industrial discards like jukebox. It means that photography does not function as important means of distinction between classes any longer. The integrative function of the photography becomes more ambiguous too. Second, the esthetic status of the photography has changed. The family photography was already integraed into fine art. Photography is not a middle-brow art any more. Bourdieu's work on photography shows how photography was used by different social classes in European social life of the 1960's. His work is historically and geographically limited. Moreover, his work was ordered by the french affiliate of Eastman Kodak Company. And all along the analysis, Bourdieu didn't hide his intention of distinguishing his sociological method from the other methods, especially psychological one. These mean that Bourdieu's work was done in a specific context, for specific purposes. In this respect, Bourdieu's work on photography, like every sociological work, can not claim to be universal.

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Development of big data based Skin Care Information System SCIS for skin condition diagnosis and management

  • Kim, Hyung-Hoon;Cho, Jeong-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.137-147
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    • 2022
  • Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.

COVID-19 News Analysis Using News Big Data : Focusing on Topic Modeling Analysis (뉴스 빅데이터를 활용한 코로나19 언론보도 분석 :토픽모델링 분석을 중심으로)

  • Kim, Tae-Jong
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.457-466
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    • 2020
  • The purpose of this study is to find out what the main agenda of social formation is and how it changes through the media by utilizing the news big data of COVID-19 which is spreading recently, and to suggest the direction of future reporting. In order to achieve the purpose of the research, 47,816 cases of news big data reported from December 31, 2019 to March 11, 2020 were divided into four periods based on the fourth stage of the crisis warning for infectious diseases, and a total of 20 topics were derived. Based on the results of the Topic Modeling analysis, this study proposed the following. First, it is necessary to refrain from provocative expressions such as "anxiety" and "fear" and use neutral and objective reporting terms. Second, more in-depth and contextual news production is required, breaking away from simple event news production. Third, it is necessary to prepare detailed crisis communication manuals for each situation related to infectious diseases. Fourth, we need reports that focus on citizens-led efforts to overcome the crisis. This research has the academic significance that it is the first paper to analyze news big data on COVID-19 using the Topic Modeling Analysis method, and the policy significance that can be used as the basis for developing national crisis communication policy.

Relationship between SNS addiction proneness and interpersonal satisfaction among undergraduate students (대학생들의 SNS중독경향성과 대인관계 만족도의 상관관계)

  • Kim, So-Yeon;Park, Mi-Ji;Park, Bu-Kyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.4
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    • pp.454-462
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    • 2018
  • This study was conducted to examine SNS addiction proneness and interpersonal satisfaction among undergraduate students and the relationships between these two variables, as well as to establish baseline data for appropriate intervention of SNS addiction prevention. The participants of this study were 316 undergraduate students in D and K city, and data were collected between June 30 and July 30, 2017. Data were collected by a self-administered online survey and analyzed by descriptive statistics, t-tests, and Pearson's correlation coefficients using SPSS. The results showed that SNS addiction proneness and interpersonal satisfaction were negatively correlated (r=-0.57, p<0.01), indicating students with higher SNS addiction had lower interpersonal satisfaction. There were no significant differences in SNS addiction proneness and interpersonal satisfaction by gender (t=0.05, p=0.963), number of SNS networks (t=0.66, p=0.513), or number of SNS-only networks (t=-1.24, p=0.216). Students who used SNS for data collection showed significantly higher interpersonal satisfaction (t=3.02, p=0.030); however, there was no significant differences in SNS addiction proneness among purposes for using SNS (t=0.39, p=.759). The results of this study will be useful baseline data for developing an intervention to improve interpersonal satisfaction and prevent SNS addiction among undergraduate students.

Development of Clothing Life Teaching-Learning Plans of Middle School Home Economics for the Response to Climate Change (기후변화 대응을 위한 중학교 가정교과 의생활 교수·학습 과정안 개발)

  • Moon, In-suk;Shim, Huen-Sup
    • Journal of Korean Home Economics Education Association
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    • v.33 no.2
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    • pp.115-133
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    • 2021
  • The purpose of this study is to develop a teaching-learning plans for middle school Home Economics that practices clothing life in response to climate change. Four steps of analysis, design, development, and evaluation were used for the research. 'Phenomenon and cause, impact (environmental, economic and social) and response (relaxation and adaptation)' were selected as educational content elements for climate change through reviewing the literature related to climate change. Six types of middle school Technology and Home Economics textbooks under the 2015 revised curriculum were analyzed using the selected content elements for climate change as the basis for analysis according to the data type(reading data, picture data, activity data) and clothing use cycle (production, purchase, use, and disposal). Based on the content elements of climate change in the clothing life area extracted through textbook analysis, a total of 12 teaching-learning plans in response to climate change were developed by utilizing various teaching and learning methods, data and media. The teaching-learning plans were designed based on an integrated understanding of the phenomena, causes, effects, and responses of climate change for the students to realize the seriousness of climate change and to exercise positive influence on families and society.

Examining the Formation of Entrepreneurial Activities through Cognitive Approach (기업가적 활동 형성에 미치는 영향요인: 인지론적 접근)

  • Lee, Chaewon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.3
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    • pp.65-74
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    • 2017
  • There have been questions how entrepreneurs think, act and why individuals become entrepreneurs. The trait-based explanation of entrepreneurial activities has been main stream. However, the trait-based theory has been criticized because it assumes that entrepreneurial traits are inherited, stable and enduring over time. This research accepts the cognitive theory to see how entrepreneurs learn or accept others' values, how entrepreneurial perceptions of opportunity impact entrepreneurial actions and how individuals acquire the social legitimation of the formation of entrepreneurial activities. In order to capture the attitudes, activities and motivations of people who are involved in entrepreneurial activities, the author uses the GEM Korea 2016 data. The data from the Global Entrepreneurship Monitor(GEM) has been well known for the data to capture individuals early-stage entrepreneurial activities. This paper used the sample from the APS(Adult Population Survey) of the GEM which was completed by a representative sample of two thousand adults in Korea by the qualified survey vendor, with strict procedures and oversight by the GEM central data team. The hypotheses are tested with logit regression analysis to estimate the probability of the influence of perceptual variables such as individual perception in social learning, the opportunity recognition in the environment, and social legitimation in the entrepreneurial activities. Based on the results, individuals tend to have high entrepreneurial activities if individuals have high self-efficacy. Also, the existence of role models around the entrepreneurs encourages the individuals involve in entrepreneurial activities more however the perception of opportunity in the environment is not strongly associated with entrepreneurial activities. The media exposure of successful entrepreneurs is more important than others' perception of entrepreneurs on the desirable career option or respect from communities. This paper can contribute to the cognitive processes, particular perception about oneself, as well as perception which is impacted by a community or a society.

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A Study on Detection Methodology for Influential Areas in Social Network using Spatial Statistical Analysis Methods (공간통계분석기법을 이용한 소셜 네트워크 유력지역 탐색기법 연구)

  • Lee, Young Min;Park, Woo Jin;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.21-30
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    • 2014
  • Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.