• 제목/요약/키워드: Comments Analysis

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Social Media and Communication in Times of Public Health Crisis: Analysis of COVID-19 YouTube Vlog activities in the sharing of patient experience and information

  • 강복;손승혜;이귀옥
    • 인터넷정보학회논문지
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    • 제24권4호
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    • pp.107-115
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    • 2023
  • This study analyzes the content of YouTube Vlog videos created by patients of Coronavirus disease 2019 ("COVID-19") in South Korea and viewer comments on those videos. As this new infectious disease started to sweep the world in late 2019 and early 2020, the public started facing fear and uncertainty stemming from the lack of sufficient and accurate information about the virus. At the same time, as COVID-19 patients in South Korea were treated in isolation to prevent the spread of the virus, the patients themselves were experiencing anxiety and exclusion from the society. During this period, there was an increase in YouTube Vlog videos created by the patients in which they shared their experiences going through the treatment and recovery processes. To understand how these YouTube Vlog videos were being used by the patients to connect with the society and seek support in a state of isolation and anxiety, this study conducted a qualitative multi-case analysis of three sample YouTube Vlog video channels to analyze their content, as well as a lexicon-based sentiment analysis of viewer comments to understand the experiences and reactions of viewers. The patients' YouTube Vlog videos showed that they shared similar stages of progress, despite each emphasizing a different main theme. Overall, the tone of the viewer comments became increasingly positive over time, although with some variance among different patient cases and stages. The results confirmed that Vlogs of patients played a significant role in reducing the uncertainty around COVID-19 and strengthening social support for the patients. The findings of this study can improve an understanding of the psychological and behavioral aspects of patient experience in isolated treatment and the impact of shared communication among members of society in times of crisis.

RESEARCH ON SENTIMENT ANALYSIS METHOD BASED ON WEIBO COMMENTS

  • Li, Zhong-Shi;He, Lin;Guo, Wei-Jie;Jin, Zhe-Zhi
    • East Asian mathematical journal
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    • 제37권5호
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    • pp.599-612
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    • 2021
  • In China, Weibo is one of the social platforms with more users. It has the characteristics of fast information transmission and wide coverage. People can comment on a certain event on Weibo to express their emotions and attitudes. Judging the emotional tendency of users' comments is not only beneficial to the monitoring of the management department, but also has very high application value for rumor suppression, public opinion guidance, and marketing. This paper proposes a two-input Adaboost model based on TextCNN and BiLSTM. Use the TextCNN model that can perform local feature extraction and the BiLSTM model that can perform global feature extraction to process comment data in parallel. Finally, the classification results of the two models are fused through the improved Adaboost algorithm to improve the accuracy of text classification.

The WeChat Mini Program for Smart Tourism

  • Ao Cheng;Gang Ren;Taeho Hong;Chulmo Koo
    • Asia pacific journal of information systems
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    • 제29권3호
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    • pp.489-502
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    • 2019
  • The WeChat mini program is an application embedded in WeChat that users can use without downloading and installing. After it was officially released in 2017, many travel enterprises have launched their own mini programs on the WeChat platform. This study applies affordance theory to investigate the WeChat mini program's role in tourism activities through social network analysis using the R programming language. The authors searched the topic of "how do you perceive the travel-related WeChat mini program" and then crawled the 200 comments found; 180 comments were analyzed after data cleansing. The results show that travel-related WeChat mini programs play a very important role in Chinese social network tourism activities. This paper found that WeChat played a more active role in various tourism-related interactions with Chinese social networks. Moreover, the results show how affordance theory is applied to the use of WeChat mini programs.

전공의와 간호사.의료기사간의 인간관계 갈등과 의사소통에 관한 연구 (Interpersonal Conflicts and Communication among Medical Residents, Nurses and Technologists)

  • 김용순;박진희;임기영
    • 한국병원경영학회지
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    • 제11권2호
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    • pp.16-31
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    • 2006
  • Through investigating communication contents, extent of conflict, and its causes between medical residents and nurses/technicians, this study will provide the effective communication skills to ease interpersonal conflicts and maintain healthy partner relationships. This is a descriptive study to find out the communication contents, extent of conflicts and its causes between medical residents and nurses/technicians. Data were collected from April $1^{st}$, 2004 to April $8^{th}$, 2004 from 118 medical residents, 288 nurses, 85 radiology technicians and 107 laboratory technicians in 4 university hospitals in Seoul capital region. Data analysis was done with SPSS version 11.0 using descriptive statistics, ANOVA and chi-test. Interpersonal conflict towards medical residents were rated higher by nurses than technicians (Nurses > Technologists = Medical residents). Causes of conflict showed regional differences. In communication contents, all regions showed "Thank you" and "Well done" as most pleasant comments. Medical residents proved other medical residents' negative comments as most unpleasant and nurses and technicians proved residents' commanding phrases, disrespectful speech, and urging comments to be most unpleasant. Communication between the center members of the medical organization is very important in treating patients and understanding each other. For smooth conflict resolutions and maintaining healthy partner relationships, continued education and support for appropriate communication and interpersonal relationship skills is needed.

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온라인 뉴스 댓글에 나타난 뉴스 이용자들의 이념적 성향에 관한 연구: 포털과 언론사닷컴의 20대 대선 관련 뉴스기사를 중심으로 (A Study of Users' Ideological Propensity in the Comments of Online News: Focusing upon the Stories of the Web Portal Sites and the Press Website News Related to the 20th presidential Election)

  • 박광순;안종묵
    • 산업융합연구
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    • 제20권12호
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    • pp.135-143
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    • 2022
  • 본 연구는 포털뉴스와 언론사닷컴 뉴스댓글에 나타난 이용자들의 정치이데올로기 성향이 어떠한지를 살펴보기 위해 실시되었다. 이 같은 분석결과를 통해 포털뉴스와 언론사닷컴뉴스는 물론, 이들 뉴스를 이용하는 유권자들의 정치성향을 파악할 수 있었다. 본 연구에 필요한 자료 수집은 선거일 전 약 90일간 174개의 뉴스기사 댓글을 대상으로 이루어졌다. 분석은 네이버뉴스와 다음뉴스, 더불어민주당과 국민의힘, 언론사닷컴뉴스와 네이버뉴스 간 비교를 위해 t-test 기법으로 실시되었다. 분석결과 네이버뉴스 댓글은 보수정당 후보에 대한 긍정적인 내용의 비율이 더 높은 반면, 다음뉴스 댓글은 진보정당 후보에 대한 긍정적인 내용의 비율이 더 높았다. 따라서 네이버뉴스는 정치적으로 보수성향 이용자들이 더 많이 이용하는 반면, 다음뉴스는 진보성향 이용자들이 더 많이 이용하고 있다는 것을 알 수 있었다.

온라인 쇼핑몰에서의 리뷰 속성이 브랜드 태도, 구매결정 및 온라인 구전의도에 미치는 영향 (The Effect of Review Attributes on Brand Attitude, Purchase Decision and e-WOM Intention in Online Shopping Mall)

  • ;김준성
    • 디지털융복합연구
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    • 제19권7호
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    • pp.113-127
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    • 2021
  • 본 연구는 온라인 쇼핑몰에서 리뷰의 속성을 평점, 댓글의 양 및 이미지정보로 분류하여 브랜드 태도와 구매결정 및 온라인 구전의도에 미치는 영향을 검증하였다. SPSS 23.0을 이용하여 빈도분석, 요인분석, 회귀분석 등을 실시하였다. 분석 결과, 리뷰 속성이 브랜드 태도, 구매결정 및 온라인 구전의도에 정(+)의 영향을 미치는 것이 확인되었으나 댓글의 양은 구매결정에 영향을 미치지 않은 것으로 나타났다. 브랜드 태도는 구매결정에, 온라인 구전의도에 정(+)의 영향을 미치는 것이 확인되었다. 더불어 평점, 이미지정보와 구매결정 간의 영향관계에서, 또한 리뷰 속성과 온라인 구전의도 간의 영향관계에서 브랜드 태도의 매개효과가 확인되었다. 이와 같은 결과는 소비자가 무조건 댓글의 양이 많은 것을 선호하지 않으며, 리뷰를 작성할 때 최대한 높은 평점과 포토후기에 초점을 맞출 수 있도록 해야 함을 시사한다.

Daum 웹툰 <바리공주>를 통해 본 고전 기반 웹툰 콘텐츠의 다층적 대화 양상 -서사구조와 댓글 분석을 중심으로 (About the Multi-layered Communication of Princess Pari on the Webtoon Platform of Daum -Focusing on Analysis of Narrative Structure and Comments)

  • 최기숙
    • 대중서사연구
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    • 제25권3호
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    • pp.303-345
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    • 2019
  • 이 논문은 포탈사이트 Daum에 연재되고 있는 김나임 작가(글/그림)의 웹툰 <바리공주>를 대상으로, 콘텐츠의 서사 구조와 댓글 분석을 질적/양적 방법론을 병행해 수행함으로써, 바리공주 서사무가라는 고전을 기반으로 한 웹툰 콘텐츠의 창작과 수용에 매개된 다층적 대화 양상을 해명했다. 웹툰 <바리공주>는 단위 서사가 독립적, 다선적, 중층적으로 연결되는 옴니버스 구성을 취하되, 바리의 성장담과 로맨스를 통해 개별서사를 통합하는 서사적 장치를 활용했다. 이때 작가는 예고편을 통해 고전원작(서사무가)을 웹툰의 프리퀄에 해당하는 전사(前史)로 활용했고, 원작이 지닌 젠더 비대칭성과 가부장제의 문제에 서사적으로 응답하는 서사적 재구성을 시도했다. 이에 대해 수용자는 비평적/성찰적 차원의 댓글로 토의하는 대화적 공론장을 형성했다. 표집을 통한 통계 분석에 따르면, 댓글의 양상은 〔콘텐츠에 대한 감상과 비평 ≫ 감정 반응 ≫ 직관적 총평 ≫ 지식과 성찰 ≫ 댓글평〕의 순으로 나타났다. 웹툰 <바리공주>의 창작과 수용에는 고전과 현대, 콘텐츠와 수용자, 수용과 창작 차원의 다층적 대화 양상이 작동했다. 창작의 차원에서 작가는 신화적 상징의 간극을 메우는 장치를 활용했으며, 수용자의 차원에서는 댓글을 통해 전통/민속/문화에 대한 정보와 지식, 성찰을 공유하는 문화를 형성했다. 이는 웹툰을 매개로 한 고전과 현대의 대화에 해당한다. 수용자는 웹툰의 향유를 통해, 정보를 보완하고 공감대를 형성하며, 해석학적 조율을 시도하고, 논쟁을 통해 시각을 조율하는 과정을 보였다. 또한 댓글을 다는 태도, 시각, 입장에 대해 논평함으로써, 문학에서의 메타비평에 해당하는 행위 양태를 보였다. 수용자의 댓글은 웹툰의 창작에 피드백 정보로 작용함으로써, 창작과 수용 자체가 웹툰 콘텐츠 제작에 영향을 미치는 실천적 역량으로 작동했다. 이 글은 고전을 기반으로 한 웹툰 <바리공주>가 고전과 현대, 작가와 수용자, 연구자간의 다양한 대화성을 형성함으로써, 감각, 사유, 비평, 성찰에 이르는 '움직이며 역동하는' 콘텐츠로 재구성된다는 것을 구체적으로 해명하는 케이스 스터디로 수행되었다.

When Brand Activism Advertising Campaign Goes Viral: An Analysis of Always #LikeAGirl Video Networks on YouTube

  • Lee, Mina;Yoon, Hye Jin
    • International Journal of Advanced Culture Technology
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    • 제8권2호
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    • pp.146-158
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    • 2020
  • As one of the successful brand activism ad campaigns in recent years, the current study focuses on the Always #LikeAGirl campaign that took on the issue of girls and female empowerment. As a viral video marketing campaign with YouTube as their main vehicle for campaign dissemination, this study examined how Always brand activism campaigns spread on YouTube by conducting a network analysis of YouTube video networks generated by the #LikeAGirl campaign spanning across five campaign periods. Quantifiable data (i.e., views, comments, likes, dislikes, user-generated videos) and structural network patterns show that the Always #LikeAGirl campaign was successful by both standards. Although the follow-up campaign periods were not as successful as the initial campaign, the substantial amount of views, comments, likes, and user-generated content showed that the consecutive campaigns still had impact. As shown through the network patterns, the main campaign ads were central in the diffusion of the campaign during the earlier periods but that role was passed onto the user-generated contents in the later periods. Implications of the findings and future social network analysis studies in brand advertising and brand activism campaigns are further discussed.

간호사의 직장 내 괴롭힘 관련 온라인 뉴스기사 댓글에 대한 토픽 모델링 분석 (A Topic Modeling Analysis for Online News Article Comments on Nurses' Workplace Bullying)

  • 강지연;김수경;노승국
    • 대한간호학회지
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    • 제49권6호
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    • pp.736-747
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    • 2019
  • Purpose: This study aimed to explore public opinion on workplace bullying in the nursing field, by analyzing the keywords and topics of online news comments. Methods: This was a text-mining study that collected, processed, and analyzed text data. A total of 89,951 comments on 650 online news articles, reported between January 1, 2013 and July 31, 2018, were collected via web crawling. The collected unstructured text data were preprocessed and keyword analysis and topic modeling were performed using R programming. Results: The 10 most important keywords were "work" (37121.7), "hospital" (25286.0), "patients" (24600.8), "woman" (24015.6), "physician" (20840.6), "trouble" (18539.4), "time" (17896.3), "money" (16379.9), "new nurses" (14056.8), and "salary" (13084.1). The 22,572 preprocessed key words were categorized into four topics: "poor working environment", "culture among women", "unfair oppression", and "society-level solutions". Conclusion: Public interest in workplace bullying among nurses has continued to increase. The public agreed that negative work environment and nursing shortage could cause workplace bullying. They also considered nurse bullying as a problem that should be resolved at a societal level. It is necessary to conduct further research through gender discrimination perspectives on nurse workplace bullying and the social value of nursing work.

체벌에 관한 교사들의 인식과 태도 : 질적 내용분석 (Teachers' Perception and Attitude on Corporal Punishment : Application of Qualitative Content Analysis Method)

  • 최태진
    • 수산해양교육연구
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    • 제25권2호
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    • pp.375-392
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    • 2013
  • The This study attempted to analyze what perception and attitude teachers have on corporal punishment. For these purpose, 458 writings about corporal punishment that 140 teachers loaded on web-site were collected and were analyzed using qualitative content analysis. : First, each writing was open-coded according to specific theme or meaning relating to corporal punishment using Nvivo program. Second, coded materials were classified as a high category when having similar theme or meaning. As a result of this process, 2 highest categories, 6 high categories and 24 subcategories were yielded. Teachers with positive view on corporal punishment tend to think that corporal punishment has some educational values or usefulness and their views were classified as very positive view, limited-permissive view, and inevitable view. They thought that corporal punishment were closely related to teachers' authority. Teachers have negative views on corporal punishment on the basis that corporal punishment causes side effects, is contrary to essentials of education, violates human rights etc. Negative views that teachers have on corporal punishment were classified as absolutely negative view and negative view focused on side effects. They thought that corporal punishment were not related to teachers' authority. Comments have been made on positive view on corporal punishment from the perspective of reflective analysis and implications of the results on theory and practice were discussed with comments on research limitations.