• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1419-1426
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• 2015

Distinguishing border between news and advertising is disappearing. Traditional journalism considered editorial part deals news and ad part handle commercial messages. But now this classification is meaningless. Current news consumers do not separate advertising content and non-advertising content. In Korea, making fake news or paid news pages is becoming social problem. Fake news uses various camouflages to pretend to be real news. This paper descriptively analyzed Korean fake news cases and suggested some guidelines for publishing news. We analyzed 3 major newspaper web sites from July to September, 2014. These three newspapers publish section pages everyday containing fake news or sponsored news. Totally more than one thousand articles were selected for content analysis. We coded the numbers of fake news, day of the week, the rate of sponsored news, average fake news publication number per pages, the conformity between news and advertising, and the type of fake news. We also coded the number of sponsored news article in day sections. We used method of comparing the advertising contents and news articles. As a result, 24.8% of news article were published for the advertising sponsors. Advertorial or fake news were sometimes arranged same pages the same day. We coded the conformity between same advertising and news content. More than 60 percent (60.9%) of fake news match with their sponsors. PR style of fake news is top and advertising type of fake news is the lowest.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.154-161
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• 2018

This study conducted to predict the stock market prices based on the assumption that internet news articles might have an impact and effect on the rise and fall of stock market prices. The internet news articles were tested to evaluate the accuracy by comparing predicted values of the actual stock index and the forecasting models of the companies. This paper collected stock news from the internet, and analyzed and identified the relationship with the stock price index. Since the internet news contents consist mainly of unstructured texts, this study used text mining technique and multiple regression analysis technique to analyze news articles. A company H as a representative automobile manufacturing company was selected, and prediction models for the stock price index of company H was presented. Thus two prediction models for forecasting the upturn and decline of H stock index is derived and presented. Among the two prediction models, the error value of the prediction model (1) is low, and so the prediction performance of the model (1) is relatively better than that of the prediction model (2). As the further research, if the contents of this study are supplemented by real artificial intelligent investment decision system and applied to real investment, more practical research results will be able to be developed.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.218-227
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• 2021

The purpose was to examine what kind of discourse about foreigners in the media in a situation where hatred toward foreigners prevailed in a pandemic situation. News data related to Chinese international students(CIS) was collected for 2020, The 11 optimal topics were selected derived through LDA analysis. They were analyzed in an exploratory level, focusing on the relationship with major events per year. The news about CIS in 2020 was intensively linked to reports on the COVID19 situation. There was a tendency to report in response to the presupposes CIS as potential confirmed patients.

• MALSORI
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• no.50
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• pp.71-83
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• 2004

Recently, broadcast news speech recognition has become one of the most attractive research areas. If we can transcribe automatically the broadcast news and store their contents in the text form instead of the video or audio signal itself, it will be much easier for us to search for the multimedia databases to obtain what we need. However, the desirable speech signal in the broadcast news are usually affected by the interfering signals such as the background noise and/or the music. Also, the speech of the reporter who is speaking over the telephone or with the ill-conditioned microphone is severely distorted by the channel effect. The interfered or distorted speech may be the main reason for the poor performance in the broadcast news speech recognition. In this paper, we investigated some methods to cope with the problems and we could see some performance improvements in the noisy broadcast news speech recognition.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.239-242
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• 2000

Newspapers on the Internet, so called Internet Newspapers, have appeared since 1995 in Korea and have provided the news contents for free. So the most of the revenues come from internet advertising. That business model has not become so profitable. Therefore, internet newspapers are forced to find better and stable paths to profitability. This paper provides a news contents-based integrated business model and the case study using two cases supports that business model

• Korean journal of communication and information
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• v.66
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• pp.5-27
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• 2014

The past, present, and future of online journalism in Korea are inextricably bound up with the portal site news services. In traditional journalism, finite news media took hold on news consumption completely because of performing news production and distribution simultaneously. Since then, in the age of multi-media and multi-channel, the audience selection has become more important because of greatly increasing news media and then exploding news production. In online journalism, the news distribution have emerged as the most important field because of the intensive consuming the portal site news services making use of various news easier, the characteristic of news consumption focusing on not news media brands but news media contents, etc. Therefore, the news present landscape of Korean journalism oriented news distribution has been completed by that the portal site news services became the symbol of online journalism. That the portal site news services performing only news distribution have more influence than the paper based online newspapers and Internet based online newspapers producing news means the change of media power. By this, a conflict between news media and portal site news services appears at all times.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.556-578
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• 2020

There are many different researches about how to analyze issues based on real-time news streams. But, there are few researches which analyze issues hierarchically from news articles and even a previous research of hierarchical issue analysis make clustering speed slower as the increment of news articles. In this paper, we propose a hierarchical and incremental clustering for semi real-time issue analysis on news articles. We trained siamese neural network based weighted cosine similarity model, applied this model to k-means algorithm which is used to make word clusters and converted news articles to document vectors by using these word clusters. Finally, we initialized an issue cluster tree from document vectors, updated this tree whenever news articles happen, and analyzed issues in semi real-time. Through the experiment and evaluation, we showed that up to about 0.26 performance has been improved in terms of NMI. Also, in terms of speed of incremental clustering, we also showed about 10 times faster than before.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.649-657
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• 2011

This study examines how news media covers Jang Ja-Yeon's scandal through analyzing texts and images about Jang Ja-Yeon described in SBS (Seoul Broadcasting System) Eight O'clock News. The study found that the news stories mainly covered lasciviously Jang Ja-Yeon's entertaining service, sexual service, other actresses who were forced to provide entertaining service, a list of people who forced her to serve, death, and vengeance. In addition, Jang Ja-Yeon in the news stories were described as "unknown actress," and she was located into low class and entertained the men in power. The analysis implicated that the body image of actress reflects a merchandize in the news media, and the news media used Ja-Yeon Jang's body image for news value which represents the society of reification, hierarchical and masculine society.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.472-485
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• 2014

This study focuses on the news making system of the prime time news of PSB in Korean society, where the presence of ethnic minorities is increasing rapidly. Although the World Wide Web has become one of the most attractive media over the last decade, Korean PSB, Korean Broadcasting System (KBS), still remains the most popular and influential medium. Therefore, the process of analyzing news making system of ethnic minorities in Korean society represented in Korean PSB as a social construction is meaningful in that it provides an important key to understand the cultural and political background and characteristics of society. For this purpose, the article tries to understand news making process when producing news related to ethnic minorities in the Korean society such as migrant workers, married migrant women and mixed-heritage children of multicultural families by interview with ten reporters in KBS. As a result, most KBS reporters had stereotypes towards multiculturalism and migrants and news reports relating to ethnic minorities are usually produced routinely, using a set of rules that have become part of KBS culture.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.510-522
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• 2017

This study aims to investigate the brand image of Korean TV news in terms of functional and symbolic attributes, to examine their interrelationships and their effect on audience' viewing intentions. A survey was conducted on 412 evening main news viewers of KBS1, SBS, and JTBC, and factor analysis and regression analysis were used. The results show that TV news brand personality was composed of three dimensions including enterprising, sincerity, and tradition. JTBC showed the highest mean value in terms of enterprising and sincerity over SBS and KBS1, and the lowest in tradition. The symbolic and functional attributes of the TV news brand image are highly correlated. Finally, the viewing intentions were determined in the order of news brand functional benefit, sincerity and enterprising personality factor.