• Title/Summary/Keyword: Media use

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Analysis of news bigdata on 'Gather Town' using the Bigkinds system

  • Choi, Sui
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.53-61
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    • 2022
  • Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

A Study on Activation Plan through Comparison of Normal Opera Performance / Untact Performance Characteristics (오페라 대면/비대면 공연 특성비교를 통한 활성화방안 고찰)

  • Jin, Yoon-Hee;Chang, Min-Ho
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.281-289
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    • 2022
  • Our society is rapidly changing with the core technology of the 4th industrial revolution, the emergence of a generation with new characteristics, and the untact era following the With Corona policy. Although the transition to untact is accelerating in the field of performing arts, in the case of opera, face-to-face performances are mainly conducted by experts and enthusiasts through on-site performances. Therefore, it is necessary to consider the uncertainty of creating opportunities through the influx of new customers such as the MZ generation and the departure of existing experts and enthusiasts. In this study, in order to examine these existing problems, we conducted literature review and case analysis, compared the opera face-to-face/non-face-to-face performance characteristics, derived an activation plan, and conducted expert interviews to secure the coherence and validity of the plan. In conclusion, we thought that it was difficult to improve the sound and sound quality, impairing the sense of presence and emotion due to many shortcomings when operating non-face-to-face as a music genre with the characteristics of opera. Therefore, we established the direction of activating the opera mainly face-to-face, but making good use of the advantages of non-face-to-face, which is not limited by region and time, and promoting the direction of activating face-to-face and non-face-to-face performances complementary to each other through the concept of cultural enjoyment.

An Exploratory Study of Health Information Seeking Behaviors among International Students in Korea (국내 거주 해외유학생의 건강정보추구행위에 관한 탐색적 연구)

  • Yoon, JungWon
    • Journal of the Korean Society for information Management
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    • v.38 no.4
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    • pp.231-250
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    • 2021
  • Despite the increasing number of international students in Korea, there is a lack of research on the health information-seeking behavior of international students. This study examined the health information search behavior of international students in Korea through a questionnaires and in-depth interviews adopting Critical Incident Technique. Most frequent health information needs that the participants experienced were related to Covid-19 and locating doctors/hospitals. The difficulties in seeking health information were language barriers, lack of knowledge of the Korean medical system, insufficient or overflowing information on the Internet. However, despite the language barrier, international students mainly used Korean sources (friends/family, websites, social media) for searching health information. In order to search health information on Korean websites, they used Google Translator or got help from bilingual friends/family members. The participants who have lived in Korea for a shorter period of time or who have lower Korean language proficiency tend to obtain health information through the community on social networks; whereas the longer the period of residence in Korea and the better the Korean language proficiency, the more likely to use websites. Only 28% of the participants gave positive answers to the question asking their confidence in finding the health information they needed. It is discussed how to help international students find accurate and credible health information.

Analysis of the Promotion of Social Networking Services (SNS) in School Media with Focus on the Operation of the Facebook Page of a Graduate School Newspaper (학내 언론의 소셜네트워크서비스(SNS) 홍보에 관한 분석-A대 대학원 신문의 페이스북 페이지 운영실태에 대한 비판적 고찰을 중심으로-)

  • An, Hye-Jin;Lee, Seung-Ha
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.145-158
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    • 2022
  • Although the rapid development of technology has led to a swift increase in the number of companies using social networking services (SNS), it will not be accurate to say that they have fully "utilized" the functionality of SNS simply by "using" these services. Therefore, this study aims to increase the convenience of using digital technology and help SNS users in extending the functionality of these services beyond their regular use and thus, revitalize the field by increasing the service providers' efficiency. In this study, the Facebook usage status of a graduate school newspaper from an undisclosed university in Seoul was analyzed from February to December, 2021 using the participant observation method. The results of the study revealed the following: First, it is necessary to diversify the subject and type of content to ensure a continuous supply of quality content; Second, there is a need to examine the user categories and characteristics by utilizing SNS functionalities such as, the target reports and insights, and based on this, supply content that meets the needs of the users; Third, to resolve the problem of low levels of user participation and an inactive Facebook account, it is necessary to mobilize new marketing tools like online events. The significance of this study is that it confronts the real problems faced by some companies that cannot keep pace with market changes in a digital environment, identifies failure factors, and proposes solutions to them.

Lightweight Super-Resolution Network Based on Deep Learning using Information Distillation and Recursive Methods (정보 증류 및 재귀적인 방식을 이용한 심층 학습법 기반 경량화된 초해상도 네트워크)

  • Woo, Hee-Jo;Sim, Ji-Woo;Kim, Eung-Tae
    • Journal of Broadcast Engineering
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    • v.27 no.3
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    • pp.378-390
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    • 2022
  • With the recent development of deep composite multiplication neural network learning, deep learning techniques applied to single-image super-resolution have shown good results, and the strong expression ability of deep networks has enabled complex nonlinear mapping between low-resolution and high-resolution images. However, there are limitations in applying it to real-time or low-power devices with increasing parameters and computational amounts due to excessive use of composite multiplication neural networks. This paper uses blocks that extract hierarchical characteristics little by little using information distillation and suggests the Recursive Distillation Super Resolution Network (RDSRN), a lightweight network that improves performance by making more accurate high frequency components through high frequency residual purification blocks. It was confirmed that the proposed network restores images of similar quality compared to RDN, restores images 3.5 times faster with about 32 times fewer parameters and about 10 times less computation, and produces 0.16 dB better performance with about 2.2 times less parameters and 1.8 times faster processing time than the existing lightweight network CARN.

Use of the 20th Presidential Election Issues on YouTube: A Case Study of 'Daejang-dong Development Project' (유튜브 이용자의 제20대 대통령선거 이슈 이용: '대장동 개발 사업' 사례를 중심으로)

  • Kim, Chunsik;Hong, Juhyun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.435-444
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    • 2022
  • There are three focuses in the paper. Firstly, the study identified what channels were most viewed by YouTube users to watch the 'Daejang-dong scandal,' which was the most powerful agenda to influence the candidate preference among voters during the 20th presidential election. Secondly, the study analyzed whether the political tone of the first videos was in line with that of the subsequent videos. Finally, we compared the sentiment of comments on the first and subsequent videos. The results showed that TBS 'News Factory' and 'TV Chosun News' represented liberal and conservative factions, respectively. Secondly, the political tone of channels that were viewed subsequently was neutral, but the conservative channel users left more negative comments and that was significant statistically. In addition, about 80% of the conservative and liberal channel users shared the same political tendency with the channel they watched first, and more than 90% of the comments left at the subsequent videos in line with that of at the first news. Based on these results, the study concluded that the voters tended to seek political news that was similar with their political ideology, and it was considered a sort of echo chamber phenomenon on the YouTube. The study suggests that the performance of high-quality journalism by traditional news outlet might contribute to decrease the negative influence of political contents on YouTube users.

Optimization of an Industrial Medium and Culture Conditions for Probiotic Weissella cibaria JW15 Biomass Using the Plackett-Burman Design and Response Surface Methodology

  • Yu, Hyung-Seok;Lee, Na-Kyoung;Kim, Won-Ju;Lee, Do-Un;Kim, Jong-Ha;Paik, Hyun-Dong
    • Journal of Microbiology and Biotechnology
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    • v.32 no.5
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    • pp.630-637
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    • 2022
  • The objective of this study was to optimize industrial-grade media for improving the biomass production of Weissella cibaria JW15 (JW15) using a statistical approach. Eleven variables comprising three carbon sources (glucose, fructose, and sucrose), three nitrogen sources (protease peptone, yeast extract, and soy peptone), and five mineral sources (K2HPO4, potassium citrate, ⳑ-cysteine phosphate, MgSO4, and MnSO4) were screened by using the Plackett-Burman design. Consequently, glucose, sucrose, and soy peptone were used as significant variables in response surface methodology (RSM). The composition of the optimal medium (OM) was 22.35 g/l glucose, 15.57 g/l sucrose, and 10.05 g/l soy peptone, 2.0 g/l K2HPO4, 5.0 g/l sodium acetate, 0.1 g/l MgSO4·7H2O, 0.05 g/l MnSO4·H2O, and 1.0 g/l Tween 80. The OM significantly improved the biomass production of JW15 over an established commercial medium (MRS). After fermenting OM, the dry cell weight of JW15 was 4.89 g/l, which was comparable to the predicted value (4.77 g/l), and 1.67 times higher than that of the MRS medium (3.02 g/l). Correspondingly, JW15 showed a rapid and increased production of lactic and acetic acid in the OM. To perform a scale-up validation, batch fermentation was executed in a 5-l bioreactor at 37℃ with or without a pH control at 6.0 ± 0.1. The biomass production of JW15 significantly improved (1.98 times higher) under the pH control, and the cost of OM was reduced by two-thirds compared to that in the MRS medium. In conclusion, OM may be utilized for mass producing JW15 for industrial use.

A Study on the Change of Editing Style in YouTube Short-From Content (Youtube 숏폼 콘텐츠의 편집스타일 변화에 대한 연구)

  • Kim, Mimi;Byun, Daniel H.
    • Trans-
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    • v.13
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    • pp.59-90
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    • 2022
  • Short-form content, which means "short video content within 10 minutes," is rapidly emerging as a recent trend among MZ generations based on the fact that it can be viewed whenever there is a short running time, and they are physically short, colorful, and deliver a lot of information in a compressed time, showing differences in both long-form content and format. In addition, entertainment videos such as information delivery videos, eating shows, web entertainment, and dance challenges are mainly produced and distributed, so there is no need to take expertise as a creative work of video experts, and consumers often become producers by directly participating in production using low-end equipment such as smartphones. For these reasons, shortform content creates new image styles rather than general existing image forms such as long-form contents, and this study focuses on changes in editing styles. This study summarized the following five characteristic changes by analyzing the editing style of short form content that has changed compared to long form content according to the 'visual' aspect. The use of frames, memes, screen division, blue screen, and subtitles are included, and by organizing each characteristic, we identified the editing style of shortform content that has emerged as a recent trend and learned about the changes.

Voice Interactions with A. I. Agent : Analysis of Domestic and Overseas IT Companies (A.I.에이전트와의 보이스 인터랙션 : 국내외 IT회사 사례연구)

  • Lee, Seo-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.15-29
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    • 2021
  • Many countries and companies are pursuing and developing Artificial intelligence as it is the core technology of the 4th industrial revolution. Global IT companies such as Apple, Microsoft, Amazon, Google and Samsung have all released their own AI assistant hardware products, hoping to increase customer loyalty and capture market share. Competition within the industry for AI agent is intense. AI assistant products that command the biggest market shares and customer loyalty have a higher chance of becoming the industry standard. This study analyzed the current status of major overseas and domestic IT companies in the field of artificial intelligence, and suggested future strategic directions for voice UI technology development and user satisfaction. In terms of B2B technology, it is recommended that IT companies use cloud computing to store big data, innovative artificial intelligence technologies and natural language technologies. Offering voice recognition technologies on the cloud enables smaller companies to take advantage of such technologies at considerably less expense. Companies also consider using GPT-3(Generative Pre-trained Transformer 3) an open source artificial intelligence language processing software that can generate very natural human-like interactions and high levels of user satisfaction. There is a need to increase usefulness and usability to enhance user satisfaction. This study has practical and theoretical implications for industry and academia.

The Relationship Between Parent and Peer Attachment on SNS Addiction Proneness among Adolescents: The Mediating Effect of the Fear of Missing Out (청소년의 부모 및 또래애착과 SNS 중독경향성의 관계: 소외에 대한 두려움(FoMO)의 매개효과)

  • Han, Da-Jung;Kim, Bin-Na
    • Korean Journal of School Psychology
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    • v.17 no.3
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    • pp.243-261
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    • 2020
  • Fear of missing out (FoMO) refers to the desire to stay continually connected with what others are doing because they are afraid of missing the flow or not being included. Although FoMO has been recently proposed as a widespread phenomenon within social media, there has been few empirical research by which mechanism FoMO leads to social networking service (SNS) addiction. Therefore, this study examined whether FoMO mediated the relationship between adolescents' attachment and SNS addiction proneness. A total of 517 middle and high school students participated in the study and completed self-report questionnaires. Results showed that FoMO partially mediated the relationship between adolescents' parental attachment and SNS addiction proneness, whereas the relationship between adolescents' peer attachment and SNS addiction proneness was fully mediated by FoMO. These results suggest that unstable attachment might contribute to SNS addiction through FoMO, especially in case of peer attachment. Lastly, we discussed theoretical and practical implications of this study and suggestions for future research.