• Title/Summary/Keyword: news big data

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Kakao Talk, Internet fake news identification service using Bi-LSTM and topic modeling (Bi-LSTM과 토픽모델링을 활용한 카카오톡, 인터넷 가짜뉴스 판별 서비스)

  • Shim, Kuk-Bo;Lee, Seung-Ho;Jeong, Jun-Ho;Lee, Ki-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1082-1084
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    • 2021
  • 현재 영어 기반의 기술 팩트체크 서비스는 다양하지만 한국 기반 팩트체크 서비스는 비기술적(언론인 등 전문가의 교차 검증을 통한 팩트체크)이 주를 이루고 있으며, 기술 팩트체크 서비스가 많이 시행되지 않고 있다. 본 논문에서는 기술적인 요소와 비기술적인 요소의 서비스를 함께 사용할 때 허위 정보를 가장 정확하게 식별할 수 있기 때문에 한국어 기반의 자연어 처리 기술을 이용한 팩트체킹 서비스를 제안한다.

R&D Perspective Social Issue Packaging using Text Analysis

  • Wong, William Xiu Shun;Kim, Namgyu
    • Journal of Information Technology Services
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    • v.15 no.3
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    • pp.71-95
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    • 2016
  • In recent years, text mining has been used to extract meaningful insights from the large volume of unstructured text data sets of various domains. As one of the most representative text mining applications, topic modeling has been widely used to extract main topics in the form of a set of keywords extracted from a large collection of documents. In general, topic modeling is performed according to the weighted frequency of words in a document corpus. However, general topic modeling cannot discover the relation between documents if the documents share only a few terms, although the documents are in fact strongly related from a particular perspective. For instance, a document about "sexual offense" and another document about "silver industry for aged persons" might not be classified into the same topic because they may not share many key terms. However, these two documents can be strongly related from the R&D perspective because some technologies, such as "RF Tag," "CCTV," and "Heart Rate Sensor," are core components of both "sexual offense" and "silver industry." Thus, in this study, we attempted to discover the differences between the results of general topic modeling and R&D perspective topic modeling. Furthermore, we package social issues from the R&D perspective and present a prototype system, which provides a package of news articles for each R&D issue. Finally, we analyze the quality of R&D perspective topic modeling and provide the results of inter- and intra-topic analysis.

Governance of A Public Platform Project in the Context of Digital Transformation Focusing on the 'Special Delivery' (공공플랫폼 구축사업의 거버넌스: 경기도 배달플랫폼 '배달특급'의 사례를 중심으로)

  • Seo, Jeongone
    • Journal of Information Technology Services
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    • v.21 no.5
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    • pp.15-28
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    • 2022
  • Recently, government agencies are actively adopting the platform model as a means of public policy. However, existing studies on the public platform are minimal and have focused on user experiences or the possibility of public usage of the platform model. Now the research concerning building governance structure and utilizing network effects of the platform after adopting the platform model in the public sector is keenly required. This study intended to ignite academic dialogue on the governance of public platforms in the context of digital transformation. This study focused on a case of the 'Special delivery,' a public delivery app established by Gyeonggi-do. In order to analyze the characteristics of the public platform and its governance structure, data were collected from press releases, policy reports, and news articles. Data was analyzed using the frame of Hagui's platform design factors and Ansell & Gash's collaborative governance model. The results of the public platform analyses showed 1) incompleteness in the value trade-off accounting, which was designed for platform business based on general cost-benefit analysis, and 2) a closed governance structure that limits direct participation of diverse user groups(i.e., service provider, customer) in order to enhance providers' utility by preventing customers' excessive online activities. The results of this study provided theoretical and policy implications regarding designing the strategy for accounting for value trade-offs and functioning governance structure for public platforms.

An Analysis of Keywords on 'School Space Innovation' Policies using Text Mining - Focused on News Articles - (텍스트 마이닝을 활용한 '학교 공간 혁신' 정책 키워드 분석 - 뉴스 기사를 중심으로 -)

  • Lee, Dongkuk
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.19 no.2
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    • pp.11-20
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    • 2020
  • The goal of this study was to investigate the implementation and related issues of the school space innovation issued by key Korean mass media using text mining. To accomplish this goal, this study collected 519 news articles associated with the school space innovation issued by 54 Korean mass media companies. Based on this data, this study performed the frequency analysis and network analysis regarding the keywords. Based on the findings, the characteristics of school space innovation are summarized as follows: First, school space innovation has progressed in response to future education. Second, users are actively participating in school space innovation. Third, experts are supporting the innovation of school space by establishing a cooperative system. Fourth, the community is actively considering the innovation of school space. Fifth, the main projects of the Ministry of Education and the Provincial Offices of Education are actively conducted in a mix of top-down and bottom-up approaches. The findings of this study will contribute to providing a clear direction for contemporary school space innovation and implications for future research agenda and implementation.

The Politics of Internet Content Regulation in the U.S.: A Case Study on Communications Decency Act Section 230 Reform with New Institutionalist Approach (미국 인터넷 내용규제의 정치: 신제도주의로 본 연방통신품위법 230조 개정 논의)

  • Choi, Jaedong
    • Informatization Policy
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    • v.29 no.3
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    • pp.48-60
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    • 2022
  • This research analyzes the potential reform of Section 230 of the Communications Decency Act through the new institutionalist approach. The immunity provision of the Section 230, which has developed the U.S. Internet content regulation regime and protected big tech firms, is facing a significant change today. The chambers of Congress have attempted to limit the immunity shield for platforms with bipartisanship. As a result of analysis through the perspective of historical institutionalism, a critical change could come from external events including fake news controversies and data privacy scandals, as well as endogenous factors such as conflicts among actors. The discussion deals with the possible direction of Internet content regulation reforms in Korea.

Revitalization of the Korean Small/Medium Sized Construction Firms for Venturing into International Market (국내 중소규모 건설업체들의 해외진출 활성화에 관한 연구)

  • Chung, Yeon-Il;Park, Hee-Dae;Kim, Du-Yon;Han, Seung-Heon
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.402-407
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    • 2006
  • The small/medium sized firms have big part and affect a national economy in the world. They underestimated in market until now make big change by standing out in international market. The Korean small/medium sized firms also get out of a domestic market stagnated and try to make inroads into international market. Especially, the Korean small/medium sized construction firms have very huge potentiality in international market globalized rapidly. But, the role of these firms actually have been insignificant in international market until now. This paper tried to present the alternatives to revitalize the overseas expansion of the Korean small/medium sized construction firms which have the potentiality. It analyzed the international contract trend of advanced construction firms to classify each group by using ENR data from 1996 to 2005, and presented the new standard of the Korean small/medium sized construction firms according to international contract portion, data, and legal bases. Finally, it used the expert interview method to refer to the revitalization of making inroads into international market.

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The Characteristics of Fashion Flex on Social Media (소셜 미디어 속 패션 플렉스(Flex) 현상의 특성)

  • Park, Juha;Chun, Jaehoon
    • Fashion & Textile Research Journal
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    • v.23 no.1
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    • pp.31-43
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    • 2021
  • This study analyzes the characteristics of fashion flex, which have recently spread on social media. The study was conducted with big data analysis that derived flex keywords from news articles and social media as well as case studies that collected 136 posted images on Instagram to analyze the content. The meaning of flex was positively accepted based on big data results. Flex was also a buzzword frequently used on social media as well as a symbolic meaning when discussing luxury goods or fashion brand experiences. The characteristics of fashion flex in social media were largely divided into three categories. First, conspicuous consumption is considered an active expression of individual fashion tastes or self-oriented consumption and emphasizes individuality through consumption. The second characteristic is that the public actively participates in events or fashion flex challenges. People use similar fashion styles or products to participate in playful social interactions with others using various Instagram functions. Finally, acts of pursuing psychological well-being in social media were used as the term flex in a broad sense and were shown to actively explore fashion-related materials and experiences for individual happiness. This study found that the meaning of existing conspicuous consumption is transforming into positive consumption, such as the expression of taste-based identity or the seeking of fun and psychological well-being. It is also meaningful that fashion has become an effective means to express individuality and taste in expressing flex.

A Study on AI Evolution Trend based on Topic Frame Modeling (인공지능발달 토픽 프레임 연구 -계열화(seriation)와 통합화(skeumorph)의 사회구성주의 중심으로-)

  • Kweon, Sang-Hee;Cha, Hyeon-Ju
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.66-85
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    • 2020
  • The purpose of this study is to explain and predict trends the AI development process based on AI technology patents (total) and AI reporting frames in major newspapers. To that end, a summary of South Korean and U.S. technology patents filed over the past nine years and the AI (Artificial Intelligence) news text of major domestic newspapers were analyzed. In this study, Topic Modeling and Time Series Return Analysis using Big Data were used, and additional network agenda correlation and regression analysis techniques were used. First, the results of this study were confirmed in the order of artificial intelligence and algorithm 5G (hot AI technology) in the AI technical patent summary, and in the news report, AI industrial application and data analysis market application were confirmed in the order, indicating the trend of reporting on AI's social culture. Second, as a result of the time series regression analysis, the social and cultural use of AI and the start of industrial application were derived from the rising trend topics. The downward trend was centered on system and hardware technology. Third, QAP analysis using correlation and regression relationship showed a high correlation between AI technology patents and news reporting frames. Through this, AI technology patents and news reporting frames have tended to be socially constructed by the determinants of media discourse in AI development.

Analysis of Major Changes in Press Articles Related to 'High School Credit System'

  • Kwon, Choong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.7
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    • pp.183-191
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    • 2020
  • The purpose of this study is to objectively analyze the trend of media articles related to the 'high school credit system' (2017~2019: 3 years), which has become the biggest concern among Korean education policies, through BIGKinds, a news data big data analysis service for media companies. The main research methodologies were BIGKinds system's specific search term news search, news trend analysis, keyword extraction and wordcloud implementation, network analysis and network picture presentation. The research results are as follows; First, the number of articles related to the high school credit system that appeared in major media outlets in Korea for 3 years from 2017 to 2019 was 3,649. The number of articles was sharply increased at a certain point about 4 times, based on the government's announcement of related policies. It showed an increasing news trend. Second, the top 20 keywords that emerged from the press articles related to the high school credit system for 3 years of analysis were presented, and it was confirmed that the keyword change by year appeared. Third, the network of media articles related to the high school credit system was visualized and presented in different ways by person, institution, and keyword. The results of this study confirmed that the high school credit system education policy was adopted as the representative education policy of the Moon Jae-in government, and is proceeding in the policy decision stage and policy implementation stage.

Social Big Data-based Co-occurrence Analysis of the Main Person's Characteristics and the Issues in the 2016 Rio Olympics Men's Soccer Games (소셜 빅데이터 기반 2016리우올림픽 축구 관련 이슈 및 인물에 대한 연관단어 분석)

  • Park, SungGeon;Lee, Soowon;Hwang, YoungChan
    • 한국체육학회지인문사회과학편
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    • v.56 no.2
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    • pp.303-320
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    • 2017
  • This paper seeks to better understand the focal issues and persons related to Rio Olympic soccer games through social data science and analytics. This study collected its data from online news articles and comments specific to KOR during the Olympic football games. In order to investigate the public interests for each game and target persons, this study performed the co-occurrence words analysis. Then after, the study applied the NodeXL software to perform its visualization of the results. Through this application and process, the study found several major issues during the Rio Olympic men's football game including the following: the match between KOR and PIJ, KOR player Heungmin Son, commentator Young-Pyo Lee, sportscaster Woo-Jong Jo. The study also showed the general public opinion expressed positive words towards the South Korean national football team during the Rio Olympics, though there existed negative words as well. Furthermore the study revealed positive attitude towards the commentators and casters. In conclusion, the way to increase the public's interest in big sporting events can be achieved by providing the following: contents that include various professional sports analysis, a capable domain expert with thorough preparation, a commentator and/or caster with artistic sense as well as well-spoken, explanatory power and so on. Multidisciplinary research combined with sports science, social science, information technology and media can contribute to a wide range of theoretical studies and practical developments within the sports industry.