• Korean journal of communication and information
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• v.57
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• pp.160-180
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• 2012

This research points out how the major newspapers and the Local newspaper try to report the issue of development in Incheon Free Economic Zone differently and observe how the press has played a role in a process. It is seen that the type of story-leading has been followed by properly traditional one as usual and reflected the recent trends well in both. The perspectives of ChosunIlbo to look at the regional issue is taken in the situation of a middle clear attitude but KyeonginIlbo is faithful to make the position of the monitor. In other words, a Metropolitan newspaper often deals with the regional issues in a more passive posture, while a Local daily newspaper tries to report the same issue in a more positive and active form. This kind of attitude upon news composition reflects the quality of the news, which is a standard of actual newspaper articles. The ChosunIlbo focuses on the political issues more while, KyeonginIlbo emphasizes on the cultural similarities. And they trace the economic importance, human interest but less to the structural figures.

• Annual Conference of KIPS
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• 2023.11a
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• pp.1198-1199
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• 2023

부동산 시장은 다양한 요인에 의해 가격이 결정되며 거시경제 변수뿐 만 아니라 뉴스 기사, SNS 등 다양한 비정형 데이터의 영향을 받는다. 특히 뉴스 기사는 국민들이 느끼는 경제 심리를 반영하고 있어 부동산 가격에 영향을 크게 미치는 변수라고 판단된다. 본 연구에서는 뉴스 기사의 세분화된 감정 분석을 통해 전통적인 분석 방법보다 더 의미 있는 결과를 얻을 수 있는 부동산 가격 예측 모델을 생성하였으며 뉴스 기사로부터 심리 지수를 산출하기 위해 생성 AI 를 활용하였다. 제안하는 매매가격지수 예측 모델을 통해 부동산 시장과 뉴스 기사와의 관계성에 대해 파악할 수 있으며, 사회/경제적 동향을 반영한 부동산 가격 변동을 예측할 수 있을 것으로 보인다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.227-230
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• 2015

For analyzing and prediction of economic trends, it is necessary to collect particular economic news and stock data. Typical Web crawler to analyze the page content, collects document and extracts URL automatically. On the other hand there are forms of crawler that can collect only document of a particular topic. In order to collect economic news on a particular Web site, we need to design a crawler which could directly analyze its structure and gather data from it. The wrapper-based web crawler design is required. In this paper, we design a crawler wrapper for Economic news analysis system based on big data and implemented to collect data. we collect the data which stock data, sales data from USA auto market since 2000 with wrapper-based crawler. USA and South Korea's economic news data are also collected by wrapper-based crawler. To determining the data update frequency on the site. And periodically updated. We remove duplicate data and build a structured data set for next analysis. Primary to remove the noise data, such as advertising and public relations, etc.

• Annual Conference of KIPS
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• 2024.05a
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• pp.513-516
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• 2024

미·중 기술 패권 경쟁이 심화되면서 경제안보는 국가안보의 핵심 요소로 부상하였다. 주요국들은 각국이 도입한 경제안보 개념에 따라 입법과 정책을 추진하고 있다. 그러나 우리나라에서 경제안보 개념은 아직까지 불분명한 상황이다. 이에 본 연구는 국내 뉴스 빅데이터를 통해 경제안보 관련 담론을 파악하여 한국식 경제안보 개념화를 위한 토대를 만드는 것을 목적으로 하였다. 빅카인즈를 통해 경제안보 관련 뉴스 기사를 수집하고 텍스트 마이닝을 활용하여 분석하였다. TF-IDF 분석과 LDA 토픽 모델링이 분석에 활용되었다. 그 결과 세 개의 주요 토픽이 도출되었고, 경제안보의 이중 구조를 확인할 수 있었다. 본 연구는 향후 한국식 경제안보를 개념화하고 그에 대한 전략을 마련하기 위한 기초자료로 활용할 수 있을 것으로 기대한다.

• Korean journal of communication and information
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• v.27
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• pp.7-34
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• 2004

This study tried to examine the internal mechanism in selecting, sorting, and producing international news coming from foreign country. With a perspective of media economists, this study hypothesized a relationship between the type of newspaper(regional vs. national), based on news markets, and the type of international news(sensational vs. public affairs), between the type of country(the First vs. Third world) and the type of news, and between the type of news market and the type of nation). The results indicated a signifiant relationship between the type of press and the type of news, with some internal inconsistency on the number of article and the amount of coverage. Further, this study revealed there was still an imbalance between the First and the Third country in terms of rho quality and quantity of international news. Also a significant relationship was found between the type of newspaper and the type of country.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.78-79
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• 2018

최근 가짜뉴스가 무분별하게 확산되면서 가짜뉴스로 인한 경제적, 사회적 비용이 커지고 있다. 하루에 발생하는 가짜뉴스는 방대하며, 실제 뉴스기사를 악의적으로 재생산 또는 언론사를 사칭하는 방식으로 유포되고 있다. 이를 구분하기 위한 연구가 많으나, 공인된 뉴스 기사인지에 대한 신뢰성 입증과 관련된 연구 논문은 매우 적은 상황이다. 본 논문에서는 가짜뉴스 문제를 해결하기 위해 뉴스 플랫폼에 블록체인을 적용, 공인된 뉴스 제공자가 기사 내용에 대한 Fingerprint를 블록체인에 기록하여 공인된 기사 내용에 대한 신뢰성을 검증하는 방안에 대해 제안한다.

• The Korean Journal of Applied Statistics
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• v.34 no.1
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• pp.57-74
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• 2021

The proliferation of smart devices (such as smart phones and tablet PCs) has led to a marked increase in the use of mobile-based internet. As a result, the influence of the mobile internet has become important to make opinions on social issues. This study explores the effects of mobile internet news users' characteristics on formation of opinions about major political, economic and social issues. We used the data from the media audience awareness survey by the Korean Press Foundation in 2016 and 2017 in this analysis. The characteristics of the news users are gender, age, education, income, news usage days, news usage hours, media application usage days, news gathering application usage days, portal usage days, and media official website usage days. These characteristics are known as possible explanatory variables for the mobile internet news users. Multiple logistic regressions were done with interpretation to know which covariates affect on formation of major opinion.

• Information Systems Review
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• v.23 no.4
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• pp.127-146
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• 2021

Fake news isexpanded and reproduced rapidly regardless of their authenticity by the characteristics of modern society, called the information age. Assuming that 1% of all news are fake news, the amount of economic costs is reported to about 30 trillion Korean won. This shows that the fake news isvery important social and economic issue. Therefore, this study aims to develop an automated detection model to quickly and accurately verify the authenticity of the news. To this end, this study crawled the news data whose authenticity is verified, and developed fake news prediction models using word embedding (Word2Vec, Fasttext) and deep learning algorithms (LSTM, BiLSTM). Experimental results show that the prediction model using BiLSTM with Word2Vec achieved the best accuracy of 84%.

• Environmental and Resource Economics Review
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• v.13 no.2
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• pp.175-194
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• 2004

Volumes of research have been implemented to estimate and predict the oil price. These models, however, fail in accurately predicting oil price as a model composed of only a few observable variables is limiting. Unobservable variables and news that have been overlooked in past research, yet have a high likelihood of affecting the oil price. Hence, this paper analyses the news impact on the price. The standard GARCH model fails in capturing some important features of the data. The estimated news impact curve for the GARCH model, which imposes symmetry on the conditional variances, suggests that the conditional variance is underestimated for negative shocks and overestimated for positive shocks. Hence, this paper introduces the asymmetric or leverage volatility models, in which good news and bad news have different impact on volatility. They include the EGARCH, AGARCH, and GJR models. The empirical results showed that negative shocks introduced more volatility than positive shocks. Overall, the AGARCH and GJR were the best at capturing this asymmetric effect. Furthermore, the GJR model successfully revealed the shape of the news impact curve and was a useful approach to modeling conditional heteroscedasticity.

• Korean journal of communication and information
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• v.81
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• pp.225-271
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• 2017

What is the basic nature of Korean public broadcasting system? This research explores this question through an analysis of KBS news coverage of the Korean housing market. This study spotlights the internal news production processes. In detail, this study investigates newsroom routines, such as news selection, news gatherings, and news production. As a result, this study reveals KBS can be classified as "Publicity Model" following reasons. First, KBS news selection process stresses higher viewer ratings for competitive market share and belittles public interests of serving the citizen. This caused KBS news to provide fragmented and truncated news information and to constrict high quality news of significant information for citizen. Second, KBS newsroom operates under the minimum staff resource to produce news programmes and has developed official source dependency as a routine for news gathering. Third, under the limits of report format, KBS news worked as a neutral deliverer of government message and failed to provide more detailed information and diverse viewpoints.