• Title/Summary/Keyword: Online Articles

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How Are the Direction and the Intensity of Indirect Social Information such as Likes and Dislikes Related to the Deliberative Quality of Online News Content Comments? A Topic Diversity Analysis Using Topic Modeling ('좋아요'와 '싫어요'같은 간접적 사회적 정보의 방향과 강도는 온라인 뉴스 콘텐츠 댓글의 숙의의 질과 어떤 관련이 있는가? 토픽 모델링을 이용한 토픽 다양성 분석)

  • Min, Jin Young;Lee, Ae Ri
    • The Journal of Information Systems
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    • v.30 no.4
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    • pp.303-327
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    • 2021
  • Purpose The online comments on news content have become social information and are understood based on deliberative democracy. Although the related research has focused on the relationship between online comments and their deliberative quality, the social information provided by online comments consists of not only direct information such as comments themselves but also indirect information such as 'likes' and 'dislikes'. Therefore, the research on online comments and deliberative quality should study this direct and indirect information together, and the direction and the degree of the indirect information should be also considered with them. Design/methodology/approach This study distinguishes comments by the attached 'likes' and 'dislikes', identifies highly supported and highly unsupported comments by the intensity of 'likes' and 'dislikes', and investigates the relationship between their existence and the deliberative quality measured as the topic diversity. Then, we applied topic modeling to the 2,390 news articles and their 74,385 comments collected from five news sites. Findings The topic diversities of the supported and unsupported comments are related to the topic diversity of all comments but the degree of the relationship is higher in the case of supported comments. Furthermore, the existence of highly supported and unsupported comments is led to less diversity of all comments compared to the case where those comments are absent. Particularly, when only highly supported comments are present, topic diversity was lower than in the opposite case.

Media Sentiment Towards Chinese Investments in Malaysia: An Examination of the Forest City Project

  • Wang, Yicong;Reagan, James
    • Asian Journal for Public Opinion Research
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    • v.8 no.3
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    • pp.197-221
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    • 2020
  • We collected national newspaper articles on the largest Chinese investment project in Malaysia, Forest City, and examined media sentiment polarity using alternative automated sentiment analysis tools. We further checked the robustness of these results using content analysis, and consistently found that sentiment polarity for mainstream news is more volatile than independent online journalism. We also found that the sentiment polarity of Malaysian mainstream media towards Chinese investments is aligned with government interactions between the two countries. This suggests that the sentiment of Malaysian mainstream media towards Chinese investments complies with local government attitudes, while independent online media are less constrained by government control. In light of this, foreign investors looking to more effectively estimate risks should monitor both independent and mainstream media to calculate the sentiment of the host country towards their foreign direct investment projects.

An Analysis on the Newspaper's Layout of the News Stand in NAVER -Focusing on the Websites of 10 dependent Online Newspapers (네이버 뉴스스탠드의 신문지면에 대한 비교분석 -10개 종속형 온라인 신문의 홈페이지를 중심으로)

  • Park, Kwang Soon
    • Journal of Digital Convergence
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    • v.16 no.9
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    • pp.365-374
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    • 2018
  • This study aims at understanding the components of on-line newspaper and how each newspaper's layout configuration is differentiated through the analysis on the websites of 10 general daily newspapers in the news stand of NAVER. The collection of data was implemented twice, and One-Way ANOVA was used as an analyzing way. The content of the analysis was carried out based on the types of visual images, the number of photo-based articles and title-based articles, the size of image for the main story, etc. As a result of analysis, the rate of news articles with the audios, videos, cards and slides differentiated from paper-based newspaper was low, and also the news articles using the informative graphics and the graphic sources were very small in number. As a whole, the newspapers in the news stand of NAVER showed that they attempt to make a distinction of their newspaper layout by using a variety of editorial techniques. The significance of this paper is to offer a basic clue to the editing formation to promote the news consumption of newspapers. Under the circumstance that the ecology of media is rapidly being reformed by new media technology, the continuous study of how the newspaper layout should be changed will be needed.

A Study on the Preemptive Measure for Fake News Eradication Using Data Mining Algorithms : Focused on the M Online Community Postings (데이터 마이닝을 활용한 가짜뉴스의 선제적 대응을 위한 연구 : M 온라인 커뮤니티 게시물을 중심으로)

  • Lim, Munyeong;Park, Sungbum
    • Journal of Information Technology Services
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    • v.18 no.1
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    • pp.219-234
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    • 2019
  • Fake news threaten democratic elections and causes social conflicts, resulting in major damage. However, the concept of fake news is hard to define, as there is a saying, "News is not fake, fake is not news." Fake news, however, has irreversible characteristics that can not be recovered or reversed completely through post-punishment of economic and political benefits. It is also rapidly spreading in the early days. Therefore, it is very important to preemptively detect these types of articles and prevent their blind proliferation. The existing countermeasures are focused on reporting fake news, raising the level of punishment, and the media & academia to determine the authenticity of the news. Researchers are also trying to determine the authenticity by analyzing its contents. Apart from the contents of fake news, determining the behavioral characteristics of the promoters and its qualities can help identify the possibility of having fake news in advance. The online community has a fake news interception and response tradition through its long-standing community-based activities. As a result, I attempted to model the fake news by analyzing the affirmation-denial analysis and posting behavior by securing the web board crawl of the 'M community' bulletin board during the 2017 Korean presidential election period. Random forest algorithm deemed significant. The results of this research will help counteract fake news and focus on preemptive blocking through behavioral analysis rather than post-judgment after semantic analysis.

Distribution of Brand Community in University: A Systematic Review of Literature on Higher Education Market-Oriented Strategy

  • Danial, THAIB;Saiful, GHOZI;Hendra, SANJAYA KUSNO;Andriani, KUSUMAWATI;Edy, YULIANTO
    • Journal of Distribution Science
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    • v.21 no.3
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    • pp.25-36
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    • 2023
  • Purpose: Brand community in higher education institutions comes up as an important topic to be discussed because the relationships among consumers can support the institutional brand and ultimately give meaning and vitality to the market-oriented strategy. This study aims to investigate how the literature on brand community in higher education have been distributed in research trends, theoretical frameworks, and methods. Research design, data and methodology: A total of 24 articles were organized from four reputable international databases. Content analysis were performed followed by synthesis toward potential directions and suggestions. Results: The researches in this area have increasingly focused on online interaction. Social identity theory and relationship theory were the two most prevalent theories used. Since the internet provides any social relationship with a specific relationship to form the brand community, its contextualization in higher education resulted in new concept implementation. Conclusions: The relationship within online participati on has impacted the market-oriented strategy of higher education in searching for ways toward a long-term and enduring bond among students, alumni, institutions and brands. As there is a plenteous prospect of data availability combined with big data analysis technology, the online participation will pique the interest of scholars to conduct further research on it.

Internet search analytics for shoulder arthroplasty: what questions are patients asking?

  • Johnathon R. McCormick;Matthew C. Kruchten;Nabil Mehta;Dhanur Damodar;Nolan S. Horner;Kyle D. Carey;Gregory P. Nicholson;Nikhil N. Verma;Grant E. Garrigues
    • Clinics in Shoulder and Elbow
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    • v.26 no.1
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    • pp.55-63
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    • 2023
  • Background: Common questions about shoulder arthroplasty (SA) searched online by patients and the quality of this content are unknown. The purpose of this study is to uncover questions SA patients search online and determine types and quality of webpages encountered. Methods: The "People also ask" section of Google Search was queried to return 900 questions and associated webpages for general, anatomic, and reverse SA. Questions and webpages were categorized using the Rothwell classification of questions and assessed for quality using the Journal of the American Medical Association (JAMA) benchmark criteria. Results: According to Rothwell classification, the composition of questions was fact (54.0%), value (24.7%), and policy (21.3%). The most common webpage categories were medical practice (24.6%), academic (23.2%), and medical information sites (14.4%). Journal articles represented 8.9% of results. The average JAMA score for all webpages was 1.69. Journals had the highest average JAMA score (3.91), while medical practice sites had the lowest (0.89). The most common question was, "How long does it take to recover from shoulder replacement?" Conclusions: The most common questions SA patients ask online involve specific postoperative activities and the timeline of recovery. Most information is from low-quality, non-peer-reviewed websites, highlighting the need for improvement in online resources. By understanding the questions patients are asking online, surgeons can tailor preoperative education to common patient concerns and improve postoperative outcomes. Level of evidence: IV.

The Structure and the Effect of Crisis Storytelling (위기상황에서 스토리텔링의 구성방식과 효과에 대한 분석)

  • Hong, Sook-Yeong;Cho, Seung-Ho
    • The Journal of the Korea Contents Association
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    • v.14 no.12
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    • pp.683-693
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    • 2014
  • This research examines a storytelling of a crisis presented in news coverages about Asiana Airline accident happened at San Francisco airport on July 6th, 2013. and investigate how the storytelling affects public's image toward an organization. To answer the research questions, qualitative content analysis of news articles (n=101) and survey (n=125) were employed. The subjects for the content analysis were Chosun Daily Newspaper and Hankyoreh Daily Newspaper, and the period of news articles is range from June 6th, 2013 to June 12th, 2014. The results showed that 10% out of total news articles was positive description toward stewardess who handled the crisis well in emergence situtation. The major expressions of depicting the stewardess's heroic activities in the news articles were tears, composure, hero, quick response, sacrifice, sorry, and so on. The online survey was conducted from Nov. 15, 2013 to Feb. 14, 2014 and found that the stewardess heroic activity influenced positively public's evaluation on Asian airline's crisis management and image of the company.

Review of Effect on Heat-generating Plaster Therapy for Chronic Prostatitis (만성전립선염에 대한 열(熱) 발생을 적용한 부첩요법(敷貼療法)의 효과에 관한 고찰)

  • Seo, Hee Jeong;Bae, Goeun;Choi, JinYong;Shim, SoHyun;Seo, HyungBum;Kim, So Yeon;Kwon, JungNam;Yun, YoungJu;Lee, In;Choi, JunYong;Han, ChangWoo;Hong, JinWoo;Park, SeongHa
    • The Journal of Korean Medicine
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    • v.39 no.2
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    • pp.29-35
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    • 2018
  • Objectives: The aim of this study is to investigate the effect of Heat-generating plaster therapy on Chronic prostatitis Methods: We searched articles from Academic Journals(CAJ) online databases. Searching keywords were '貼敷', '慢性前列腺炎', '敷貼', '慢性前列腺炎'. Results: Among the articles published until October 2017, The 18 articles were found. After reviewing the title, abstract and original article, the 3 articles were selected finally to rule out completely different prescriptions. Conclusions: The effect of Heat-generating plaster therapy on symptoms such as urinary frequency, dysuria, nocturia and sexual dysfunction due to chronic prostatitis was satisfactory. Especially the method is simple and safe, easy to use, patient-friendly, and convenient.

Trend Analysis of Pet Plants Before and After COVID-19 Outbreak Using Topic Modeling: Focusing on Big Data of News Articles from 2018 to 2021

  • Park, Yumin;Shin, Yong-Wook
    • Journal of People, Plants, and Environment
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    • v.24 no.6
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    • pp.563-572
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    • 2021
  • Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

Exploring the Issue Structure of Drone Crime in Newspaper Articles: Focusing on Language Network Analysis (신문 기사에서의 드론 범죄 관련 이슈구조 탐색: 언어 네트워크 분석을 중심으로)

  • Park, Hee-Young;Lee, Soo-Bum
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.20-29
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    • 2021
  • This study aims to explore the issue of drones and crime in newspaper articles. BIG KINDS, an online news archive of the Korea Press Foundation, collected 1,213 newspaper articles that met the terms of "drone" and "crime" in 11 central and 28 regional comprehensive newspapers between January 1, 1990 and May 1, 2021. Among them, we perform keyword frequency, centrality analysis, network structure construction, CONCOR analysis, and density matrix analysis on 117 key keywords. According to the analysis, the main issues were classified into eight, and the report analysis on drones and crimes in newspaper articles showed that the government's policy-making and social problems on protecting people's privacy, preventing illegal filming, securing navigation safety, social security and resolution. This study attempts to expand the field of humanities and social studies related to drones and crime, and specifically suggests the current status and counterplan against drone-related crimes as policy implications and media implications.