• Title/Summary/Keyword: News Video

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Effects of Perceived Air Pollution on the Negative Emotion, Physical Symptoms and Future Perspectives (지각된 대기오염이 부정 정서, 신체증상 및 미래 조망에 미치는 영향)

  • Kim, Sojung;Park, Hye-Ryeong;Lee, Jong-Sun
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.287-298
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    • 2020
  • Air pollution is a severe risk factor in public health. It is not only a cause of a variety of physical disorders but also attributable to mental health problems. This study aimed to investigate the differences on emotions, physical symptoms, future perspectives by perceived air pollution. Sixty-one university students were randomly allocated either to air pollution group (n = 30) or clean air group (n = 31). Participants watched a news video clip of a polluted city or a clean city according to their condition and were asked to imagine as if they were living in the city. Results showed that air pollution group reported increased depression, anxiety, anger and physical symptoms after the exposure. Meanwhile, clean air group showed no significant changes or decrease of them. In addition, air pollution group reported restrained future time perspectives and decreased plan of outdoor activities, while clean air group did not report significant changes after the exposure.

Analysis of the dentistry-related contents uploaded on YouTube Korea (YouTube 내의 치과 관련 한국어 컨텐츠 현황 분석 및 활용 방안)

  • Jo, Jaehyun;Kwon, Hyuckjun;Jung, Seoyeon;Hu, Kyung-Seok;Jung, Il-Young;Seo, Jeong-Taeg
    • The Journal of the Korean dental association
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    • v.57 no.12
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    • pp.728-735
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    • 2019
  • Objective: Previous studies suggested the potential influence of YouTube videos regarding dentistry on the mass population. However, there was not any clear investigation for Korean population. We aimed to systemically analyze the type of the dentistry-related videos uploaded on YouTube Korea and the accounts used for uploading, and to assess their effect on the view count of the content. Methods: Classification, type of the accounts, and view count of the videos listed by the keyword 'dentistry' were analyzed, which were uploaded on YouTube Korea platform from September 2017 to April 2019. Kruskal-Wallis test with post hoc analysis was used to assess the effect of the classification of the videos and the type of accounts on the view count. Results: 1.026 videos were enrolled to the analysis. Primary classification of the videos was information/education, advertisement, life, news, child contents, autonomous sensory meridian response, broadcast, cartoon/game, humor, and music. Secondary classification of the videos was dental experience, advertisement, role-playing, information/education., humor, cartoon/game, child contents, life, and broadcast. Type of the accounts was dentistry associates, general public, media company, and government office (sorted by frequency). Subject of the most videos (93.6%) was general public. There was statistically significance in the view count of the videos according to the primary and secondary classifications, the account used for uploading, and target subject of the videos. Conclusion: Dentists and their associates should recognize the importance of YouTube platform and try to monitor and intervene the dentistry-related contents, considering its huge impact on the general public.

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A Segment Algorithm for Extracting Item Blocks based on Mobile Devices in the Web Contents (웹 콘텐츠에서 모바일 디바이스 기반 아이템 블록을 추출하기 위한 세그먼트 알고리즘)

  • Kim, Su-Do;Park, Tae-Jin;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.12 no.3
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    • pp.427-435
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    • 2009
  • Users are able to search and read interesting items and hence click hyperlink linked to the item which is detailed content unit such as menu, login, news, video, etc. Small screen like mobile device is very difficult to viewing all web contents at once. Browsing and searching for interesting items by scrolling to left and right or up and down is discomfort to users in small screen. Searching and displaying directly the item preferred by users can reduces difficulty of interface manipulation of mobile device. To archive it, web contents based on desktop will be segmented on a per-item basis which component unit of web contents. Most segment algorithms are based on segment method through analysis of HTML code or mobile size. However, it is difficult to extract item blocks. Because present web content is getting more complicated and diversified in structure and content like web portal services. A web content segment algorithm suggested in this paper is based on extracting item blocks is component units of web contents.

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A Study on the Stage Costume Design for the Musical Jekyll and Hyde - Focusing on the Nature of Good and Evil - (뮤지컬 '지킬 앤 하이드'에 나타난 무대의상 디자인 연구 - 선과 악의 캐릭터를 중심으로 -)

  • Beom, Seo-Hee;Lee, In-Seong
    • Journal of the Korean Society of Costume
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    • v.60 no.4
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    • pp.45-57
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    • 2010
  • The costume in musical is an important visual factor that contributes to the level of stage completion by for the character and overall atmosphere of the whole play. Besides, as if it is has a fixed times in the drama, it has to produce to consider an opinion of producer to express the theme, atmosphere of a play and especially in the period adventure drama, to revive as it is historical dress, there is not creation at stage of today. This research is studied into the stage costume of the musical 'Jekyll and Hyde' an adapted to express image of good and evil in the one character. For this research, it researched costume of Victoria period in England, study character of main actor by analysis of the play in an original work, examine the stage costume of the musical 'Jekyll and Hyde' performed in the inside and outside of the country. In the musical stage costume, by character difficult of stage costume, factor of design feature divided to good and evil and compare feature design of stage costume, research new design express method to consider musical acting, moreover through designing and producing the costume to be suitable for the content of the work. This research consists of research and actual production of work, study of documentary records, collection and analysis of overseas performances, news releases, video material and internet research were the methods of this study.

Web Content Loading Speed Enhancement Method using Service Walker-based Caching System (서비스워커 기반의 캐싱 시스템을 이용한 웹 콘텐츠 로딩 속도 향상 기법)

  • Kim, Hyun-gook;Park, Jin-tae;Choi, Moon-Hyuk;Moon, Il-young
    • Journal of Advanced Navigation Technology
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    • v.23 no.1
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    • pp.55-60
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    • 2019
  • The web is one of the most intimate technologies in people's daily lives, and most of the time, people are sharing data on the web. Simple messenger, news, video, as well as various data are now spreading through the web. In addition, with the emergence of Web assembly technology, the programs that run in the existing native environment start to enter the domain of the Web, and the data shared by the Web is now getting wider and larger in terms of VR / AR contents and big data. Therefore, in this paper, we have studied how to effectively deliver web contentsto users who use Web service by using service worker that can operate independently without being dependent on browser and cache API that can effectively store data in web browser.

The COVID-19 Pandemic: Fears and Overprotection in Pediatric Patients with Inflammatory Bowel Disease and Their Families

  • Reinsch, Steffen;Stallmach, Andreas;Grunert, Philip Christian
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.24 no.1
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    • pp.65-74
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    • 2021
  • Purpose: The coronavirus disease 2019 (COVID-19) pandemic has influenced the lives of people worldwide. Little is known about the effects of the COVID-19 pandemic on the behavior and fears of pediatric patients with inflammatory bowel disease (IBD) and their families. We conducted a survey to determine the COVID-19 exposure, related perceptions, and information sources; medication compliance; and patients' and parents' behaviors, fears, and physician contact. Methods: An anonymous cross-sectional survey of pediatric patients with IBD and their parents at one pediatric gastroenterology unit of a university medical center was performed. Results: A total of 46 pediatric patients with IBD and 44 parents completed the survey. Parents of pediatric patients with IBD had high fear of their children becoming infected with severe acute respiratory syndrome coronavirus 2. They perceived schools as the most hazardous environment, whereas the children did not. Half the pediatric patients with IBD feared infection. Patients and parents felt sufficiently informed about COVID-19. The primary source of guidance for pediatric patients was their parents (43%), followed by television and social media, whereas the parents mainly consulted internet news websites (52.2%), television, and public health institutes. Pediatric patients with IBD adhered to their prescribed medication. They also showed cautious behavior by enhancing hand hygiene (84%) and leaving the house less frequently than before. However, in-person medical visits remained favored over video consultations. Conclusion: Although parents expressed overprotective concerns, both parents and pediatric patients with IBD are coping well with the COVID-19 pandemic. IBD-relevant information should be actively conveyed.

A Method of Detection of Deepfake Using Bidirectional Convolutional LSTM (Bidirectional Convolutional LSTM을 이용한 Deepfake 탐지 방법)

  • Lee, Dae-hyeon;Moon, Jong-sub
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.6
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    • pp.1053-1065
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    • 2020
  • With the recent development of hardware performance and artificial intelligence technology, sophisticated fake videos that are difficult to distinguish with the human's eye are increasing. Face synthesis technology using artificial intelligence is called Deepfake, and anyone with a little programming skill and deep learning knowledge can produce sophisticated fake videos using Deepfake. A number of indiscriminate fake videos has been increased significantly, which may lead to problems such as privacy violations, fake news and fraud. Therefore, it is necessary to detect fake video clips that cannot be discriminated by a human eyes. Thus, in this paper, we propose a deep-fake detection model applied with Bidirectional Convolution LSTM and Attention Module. Unlike LSTM, which considers only the forward sequential procedure, the model proposed in this paper uses the reverse order procedure. The Attention Module is used with a Convolutional neural network model to use the characteristics of each frame for extraction. Experiments have shown that the model proposed has 93.5% accuracy and AUC is up to 50% higher than the results of pre-existing studies.

Effects of Selective Exposure to YouTube Political Videos on Attitude Polarization: Verifying Mediating Effects of Political Identification (유튜브 정치동영상의 선택적 노출과 정치적 태도극화: 정치성향별 내집단 의식의 매개효과 검증)

  • Ham, Minjeong;Lee, Sang Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.157-169
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    • 2021
  • YouTube has rapidly grown as a news media outlet. As political content without fact-checking is actively provided and YouTube algorithms are used for content recommendations, users are selectively exposed to certain political ideologies, which could escalate conflicts among political groups. In particular, the stronger the identification of in-group, the greater the antipathy toward outgroup, and the more exposed the content to the parties that support or oppose it, the stronger the identification or the antipathy can be. This study investigated the relationship between selective exposure and political attitude polarization in the context of political video on YouTube. Based on social identity theory, this study also found that political identification mediates the relationship between selective exposure and political attitude polarization.

Big Data Analysis on Daegu-Gyeongbuk Administrative Integration (대구·경북 행정통합에 대한 빅데이터 분석)

  • Song, Hwa Young;Park, Han Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.139-148
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    • 2021
  • The study examines public attitude and reaction regarding administrative integration in Daegu and Gyeongbuk area. Specifically, it employs social big data including textual comments on online news articles and YouTube video clips. The collected data are analyzed in order to compare two periods, that is, before and after the inauguration of the Public Opinion Committee for One Daegu-Gyeongbuk. As a result, we have found that people's favorable response to administrative integration has gradually increased since the launch of the Committee. However, it still lacks specific administrative procedures and discussion topics among the frequently used words in the collected data. Thus, the Committee needs to provide a variety of information and materials related to administrative integration.

Examining Public Responses to Transgressions of CEOs on YouTube: Social and Semantic Network Analysis

  • Jin-A Choi;Sejung Park
    • Journal of Contemporary Eastern Asia
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    • v.23 no.1
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    • pp.18-34
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    • 2024
  • In what was labeled the "nut rage" incident, the vice president of Korean Air, Hyun-Ah Cho (Heather Cho), demonstrated behavior that exemplifies corporate transgression and deviation from societal moral standards toward a flight attendant aboard a flight. Such behavior instigated the public to express negative sentiment on various social media platforms. This study investigates word-of-mouth network on YouTube in response to the crisis, patterns of co-commenting activities across selected YouTube videos, as well as public responses to the incident by employing social and semantic network analysis. A total of 512 YouTube videos featuring the crisis from December 8, 2014 through November 11, 2018, and 52,772 public comments to the videos were collected. The central videos in the network successfully attracted the public's attention and engagements. The results suggest that the video network was decentralized, with multiple videos acting as hubs in the network. The public commented on various videos instead of focusing on a few. The contents of influential videos uploaded by popular news organizations revealed not only Cho's behaviors related to the nut rage crisis but also unrelated illegal behaviors and the moral violations committed by the family members of Korean Air. The public attached derogatory remarks to Cho and her family, and the comments also addressed ethical concerns, management issues of the company, and boycott intentions. The results imply that adverse public reaction was related to the long-standing problem caused by family ownership and governance in large Korean corporations. This Korean Air scandal illustrates backlash toward a leadership breakdown by the family business conglomerate prevalent in the Korean society. This study provides insights for effective handling of similar crises.