• Title/Summary/Keyword: Internet News

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Exploring News Sharers' Characteristics and Factors Affecting News Sharing Behavior (온라인 뉴스 공유자의 특성 및 뉴스 공유에 미치는 요인 탐색)

  • Hwang, HaSung;Jiang, XueJin;Zhu, LiuCun
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.105-112
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    • 2020
  • The present study aims to explore news sharers' characteristic. Specifically, it aims to look at news sharers' demographic characteristics, old media news usage and new media news usage. Besides, it also explores factors affecting news sharing behavior. The study used the second data of Korea Press Foundation. Findings from surveys suggest that first, news sharers are younger and have higher education than not news sharers. Second, news sharers use less news through old media while more news through new media. Third, political orientation, portal, SNS and online video platform new usage, messenger news reliability have positive effects on news sharing, while age and portal news reliability have negative effects on it. Based on these findings, implication, limitations, and topics for future research are discussed.

Evaluation of Moxibustion -related Health Information on Korean Internet News Coverage (한국 인터넷 신문기사에서 뜸 관련 의료정보 평가)

  • Kang, O-Seok;Park, Hi-Joon;Kim, Song-Yi;Lee, Hye-Jung;Chae, Youn-Byoung
    • Journal of Acupuncture Research
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    • v.26 no.2
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    • pp.189-199
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    • 2009
  • Objectives : Despite the substantial amount of newspaper coverage related to complementary and alternative medicine on the internet in recent years, little is know about the quality of the health information. To evaluate health information of the newspaper articles on moxibustion available in Korea through Korean language search engines and Web sites. Methods : We searched 454 news stories about moxibustion between 1 January 2006 and 31 December 2008. Among them, 34 internet news coverage related to health information on moxibustion were selected and rated against eight categories by two individuals. Results : The inter-rater reliability of the two reviewers was assessed as 0.69, indicating a moderately high level of agreement. The overall rating score for 34 articles was 35.7${\pm}$17.2 for the statement criteria and 12.9${\pm}$17.0 for the satisfaction criteria. Overall, although they might be improving recently, the scores remain generally low. There was a statistically significant difference in the score of the newspaper coverage according to the type of evidence sources, including anecdotes. Conclusions : There is substantial variability in news reporting practices about moxibustion. It is urgently needed to enhance the information related to CAM including moxibustion through the news media in Korea.

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Impact of Internet Media Reports on the COVID-19 Pandemic in the Population Aged 20-35

  • Stytsyuk, Rita Yurievna;Panova, Alexandra Georgievna;Zenin, Sergey;Kvon, Daniil Andreevich;Gorokhova, Anna Evgenievna;Ulyanishchev, Pavel Viktorovich
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.39-44
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    • 2022
  • The advent, course, and possible consequences of the COVID-19 pandemic are now the focus of global attention. From whichever side the geopolitical centers of influence might view it, the problem of the coronavirus concerns all world leaders and the representatives of all branches of science, especially physicians, economists, and politicians - virtually the entire population of the planet. The uniqueness of the COVID-19 phenomenon lies in the uncertainty of the problem itself, the peculiarities and specifics of the course of the biological processes in modern conditions, as well as the sharp confrontation of the main political players on the world stage. Based on an analysis of scientific research, the article describes the profile of the emotional concept of "anxiety" in Russian linguoculture. Through monitoring the headlines of Russian media reports in the "COVID-19" section of Google News and Mail News news aggregators dated August 4-6, 2021, the study establishes the quantitative and qualitative characteristics of the alarm-generating news products on coronavirus in the Russian segment of the Internet and interprets the specifics of media information about COVID-19. The level of mass media criticism in Russia is determined through a phone survey. It is concluded that coronavirus reports in online media conceptualize anxiety about the SARS virus and the COVID-19 disease as a complex cognitive structure. The media abuse the trick of "magic numbers" and emotionally expressive words in news headlines, which are perceived by mass information consumers first and typically uncritically.

Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm

  • Lee, Dongkwon;Kim, Daewon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.4833-4848
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    • 2019
  • This paper introduces the structure and effects of Kakao's news curation algorithm, which is created based on the Deep Reading Index (DRI). The DRI examines the extent of deep reading through content reading time, that is, the duration of reader engagement with an article. Current news curation algorithms focus on reader choice, with the click-through rate or pageviews as the gauge for consumption frequency. DRI is a product of the challenge of introducing and adopting a new factor called 'consumption time' instead of 'frequency of consumption', which is the basis of existing curation algorithms. The analysis of DRI-based services proves that the new algorithm can act as a curation system that is more effective in providing in-depth and quality news reports.

Coverage Patterns of the Internet News Media on the'US-Iraq War'and its Discourse Structure: With an emphasis of analysing time and discourse structure of the 'Oh My News' news items (인터넷 미디어의 '미국.이라크' 전쟁 보도 경향과 담론구조: <오마이뉴스>보도의 시간구조와 담론구조 분석을 중심으로)

  • Baek, Seon-Gi
    • Korean journal of communication and information
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    • v.33
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    • pp.115-167
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    • 2006
  • The purpose of this study was to investigate coverage patterns of the Korean internet news media on 'US-Iraq War' and its meaning and discourse structure. The internet news media was recently established and become a popular news media to compete with old news media in Korea. The author selected the 'Oh My News' as a representative internet news media for his analysis, and collected its news items from Mar. 20, 2003 to Dec. 17, 2003. on the basis of 4 different phases of the war. He analysed the whole of news items with various semiotic and discourse analytic methods, especially applying for Bell's concepts of time and discourse structure. As a result of this study, first of all, it was found that the 'Oh My News' tended to cover this war so different ways as the old news media did. It did not pay attention to the procedure of war, especially, battlefields, fighting between US and Iraq, damages and casualties. But, instead, it paid attention to many doubts about intention of US government and the President, Bush, dichotomous shift between pro-America and anti-America, rightness of dispatching Korean army into Iraq, etc. Secondly, it functioned as a kind of alternative media to speak up different voices comparing with those of old media. It tended to suggest different perspectives and opinions, while the old media tended to follow American perspectives and opinions. Thirdly, it became as a kind of new media setting agendas for this war in Korean society. It played a very important role for setting agendas for various issues related with this war. In conclusion, the internet news media has recently become a kind of new news media for suggesting alternative or different opinions, setting agendas, initiating discourses, etc., even though it still has may problems of becoming so called orthodox news media.

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Identification Systems of Fake News Contents on Artificial Intelligence & Bigdata

  • KANG, Jangmook;LEE, Sangwon
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.122-130
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    • 2021
  • This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

FAGON: Fake News Detection Model Using Grammatical Transformation on Deep Neural Network

  • Seo, Youngkyung;Han, Seong-Soo;Jeon, You-Boo;Jeong, Chang-Sung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.4958-4970
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    • 2019
  • As technology advances, the amount of fake news is increasing more and more by various reasons such as political issues and advertisement exaggeration. However, there have been very few research works on fake news detection, especially which uses grammatical transformation on deep neural network. In this paper, we shall present a new Fake News Detection Model, called FAGON(Fake news detection model using Grammatical transformation On deep Neural network) which determines efficiently if the proposition is true or not for the given article by learning grammatical transformation on neural network. Especially, our model focuses the Korean language. It consists of two modules: sentence generator and classification. The former generates multiple sentences which have the same meaning as the proposition, but with different grammar by training the grammatical transformation. The latter classifies the proposition as true or false by training with vectors generated from each sentence of the article and the multiple sentences obtained from the former model respectively. We shall show that our model is designed to detect fake news effectively by exploiting various grammatical transformation and proper classification structure.

Zika Virus on YouTube: An Analysis of English-language Video Content by Source

  • Basch, Corey H.;Fung, Isaac Chun-Hai;Hammond, Rodney N.;Blankenship, Elizabeth B.;Tse, Zion Tsz Ho;Fu, King-Wa;Ip, Patrick;Basch, Charles E.
    • Journal of Preventive Medicine and Public Health
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    • v.50 no.2
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    • pp.133-140
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    • 2017
  • Objectives: The purpose of this study was to describe the source, length, number of views, and content of the most widely viewed Zika virus (ZIKV)-related YouTube videos. We hypothesized that ZIKV-related videos uploaded by different sources contained different content. Methods: The 100 most viewed English ZIKV-related videos were manually coded and analyzed statistically. Results: Among the 100 videos, there were 43 consumer-generated videos, 38 Internet-based news videos, 15 TV-based news videos, and 4 professional videos. Internet news sources captured over two-thirds of the total of 8 894 505 views. Compared with consumer-generated videos, Internet-based news videos were more likely to mention the impact of ZIKV on babies (odds ratio [OR], 6.25; 95% confidence interval [CI], 1.64 to 23.76), the number of cases in Latin America (OR, 5.63; 95% CI, 1.47 to 21.52); and ZIKV in Africa (OR, 2.56; 95% CI, 1.04 to 6.31). Compared with consumer-generated videos, TV-based news videos were more likely to express anxiety or fear of catching ZIKV (OR, 6.67; 95% CI, 1.36 to 32.70); to highlight fear of ZIKV among members of the public (OR, 7.45; 95% CI, 1.20 to 46.16); and to discuss avoiding pregnancy (OR, 3.88; 95% CI, 1.13 to 13.25). Conclusions: Public health agencies should establish a larger presence on YouTube to reach more people with evidence-based information about ZIKV.

Text mining on internet-news regarding climate change and food (기후변화 및 식품 관련 뉴스기사의 텍스트 마이닝)

  • Hyun, Yoonjin;Kim, Jeong Seon;Jeong, Jin-Wook;Yun, Simon;Lee, Moon-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.2
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    • pp.419-427
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    • 2015
  • Despite of correlation between climate changes and food-related information, it is still not easy for many users to get access to the information with interest. This study investigated how much climate change and food-related information are correlated with each other and how often they are exposed through frequency and correlation analysis on news articles on the internet portals. Through analysis on the frequency of climate change and food-related news articles, this study was able to figure out how often they are exposed at the same time by the internet news portals. In addition, a total of 59 correlation rules regarding the climate change and food-related vocabularies were derived from these news articles using the climate change and food-related glossaries. Then, a correlation between certain climate change-related and food-related words was analyzed in order to package the related words.

Topic Modeling on the Adolescent Problem Using Text Mining (텍스트 마이닝을 이용한 청소년 문제 토픽 모델링)

  • Cho, Ju-Yeon;Cho, Kyoung Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.12
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    • pp.1589-1595
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    • 2018
  • The purpose of this research is to search for and identify trends in adolescent problems on internet news sites. Among the domestic internet news sites, 8,110 articles on adolescent problems from 1993 to 2018 were analyzed for the top three top-ranked 'The Chosunilbo', 'The Dong-A Ilbo', and 'Korea Joongang Daily' news sites. As a result of this study, we have been able to understand the topic of adolescent problems in internet news sites for the last 26 years and find out that the trend of articles has been changed considering the environment, policies and culture related to adolescent problems. This study is meaningful to start from the method to examine the social trends of existing adolescent problems, to expand the scope of adolescent problems and counseling, to use quantitative analysis methods and to provide new information to consider diversity.