• Journal of Agricultural Extension & Community Development
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• v.13 no.1
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• pp.99-121
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• 2006

The purpose of the study was to analyze agricultural and rural news in mass media reporting. This study analyzed the representation of agricultural and rural news of Korean Broadcasting System (KBS), established in 1947 as a public service broadcaster and the Seoul Broadcasting System (SBS), established in 1990 as a private service broadcaster in Korea. There has been criticisms of isolated and anecdotal reporting of agricultural and rural issues, thus, leading to negative public perception mainly influenced by mass media even though there has been increases in the publicity activities regards agricultural policies in the KBS and SBS broadcasting news. This study was designed to reveal the merits of the preceding criticisms. For this purpose, a total of 437 news items issued between September 2004 and August 2005 were analyzed via content and framing analysis research methodologies. The major findings and conclusions of the study were as follows: 1. Content analysis of agricultural and rural news revealed that the lack of relative quantity and 'in-depth analysis' in agricultural reporting and the thematic concentration on negative news and flash events were the most prominent characteristics of Korean broadcasting news. 2. The quantity of agricultural news was relatively insufficient and qualitatively superficial and stereotyped lacking in comprehensive understanding of agricultural and rural issues and inclined toward flash events and crisis-oriented. Based on the findings and conclusions, following recommendations are offered; 1) Agricultural institutions should consider changing the images of rural society and farmers implementing agricultural and rural policies in the future, and perception of the general public should be considered in reporting agricultural and rural news. 2) Further research should be conducted to provide practical implications for the broadcast media on the agricultural information system.

• Informatization Policy
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• v.19 no.3
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• pp.19-35
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• 2012

As Internet users increasingly consume news through the Internet, Internet portals face criticism that they are quickening the softening of public news and molding public opinions. Some portals have started to provide newscast services that directly connect the press, not grouping news sources on their own standards. This study aims to clarify how news grouping models and newscast models are different in terms of news softening and agenda setting. Specifically, authors conduct a content analysis on time-specific news content provided by top three portals-Naver, Daum, and Nate. By doing so, this study examines characteristics of news service models of Internet portals and their social and political implications. According to our study, the softening and tabloidization of portal news had not been improved even after adopting the newscast model. Therefore, portal journalism should be reorganized as a way to circulate healthy and qualified news content.

• 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.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.439-449
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• 2018

The purpose of this study was to examine the effect of VR news focused on recall, understanding, enjoyment, visual fatigue and reuse intention through experimental study. Using Window SPSS 21.0 and AMOS 21.0 program, the data was analyzed by exploratory/confirmatory factor analysis, reliability analysis, correlation analysis and path analysis. The Results are as follows. First, presence and immersion among VR news characteristics influenced positively on users' recall of VR news. Second, presence, interactivity and immersion among VR news characteristics influenced positively on users' understanding of VR news. Third, presence, interactivity and immersion among VR news characteristics influenced positively on users' enjoyment of VR news. Fourth, presence among VR news characteristics influenced negatively on users' visual fatigue of VR news. Fifth, presence and immersion among VR news characteristics influenced positively on users' reuse intention of VR news. This study will provide on an important implication understanding VR news characteristics and VR news users.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.10-22
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• 2021

This study conducted usability test to users in 20s in order to find problems for improving news apps of the major broadcasting companies. Efficiency, effectiveness, and satisfaction were evaluated by mobile news content type. Also there is including analysis of the news topics (hard news, soft news) and broadcasters (MBC, SBS). As a result, same problems were found in common items according to mobile news content types. And in the news topic, there was a difference in the news values and news attributes that need to be improved. This study gives practical implications to the news producers to improve the contents of news apps.

• Asian Journal for Public Opinion Research
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• v.8 no.2
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• pp.67-104
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• 2020

Fake news and disinformation provoked heated arguments during Taiwan's 2018 local election. Most significantly, concerns grew that Beijing was attempting to sway the island's politics armed with a new "Russian-style influence campaign" weapon (Horton, 2018). To investigate the speculated effects of the "onslaught of misinformation," an online survey with 1068 randomly selected voters was conducted immediately after the election. Findings confirmed that false news affected Taiwanese voters' judgment of the news and their voting decisions. More than 50% of the voters cast their votes without knowing the correct campaign news. In particular, politically neutral voters, who were the least able to discern fake news, tended to vote for the China-friendly Kuomintang (KMT) candidates. Demographic analysis further revealed that female voters tended to be more likely to believe fake news during the election period compared to male voters. Younger or lower-income voters had the lowest levels of discernment of fake news. Further analyses and the implications of these findings for international societies are deliberated in the conclusion.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.2
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• pp.239-243
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• 2003

Recently, there has been active research conducted on the intelligent agent in various fields. The results have been widely applied to intelligent user-friendly interfaces. In this system, we modeled, designed, and implemented an intelligent agent system that can be applied to stock and news. Some procedures such as login sequence to the web site, process to get stock information, setting stock in concern, intelligent news system module, news analysis module, and news learning module are modeled in detail and described in block diagram level. In our experiment on stock system, it showed quite a useful alarming screen avatar result and also on news system. it successfully rearranged the order of the news according to the user's preferences.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.50-58
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• 2019

The clear and specific objective of this study is to design a false news discriminator algorithm for news articles transmitted on a text-based basis and an architecture that builds it into a system (H/W configuration with Hadoop-based in-memory technology, Deep Learning S/W design for bigdata and SNS linkage). Based on learning data on actual news, the government will submit advanced "fake news" test data as a result and complete theoretical research based on it. The need for research proposed by this study is social cost paid by rumors (including malicious comments) and rumors (written false news) due to the flood of fake news, false reports, rumors and stabbings, among other social challenges. In addition, fake news can distort normal communication channels, undermine human mutual trust, and reduce social capital at the same time. The final purpose of the study is to upgrade the study to a topic that is difficult to distinguish between false and exaggerated, fake and hypocrisy, sincere and false, fraud and error, truth and false.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.539-550
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• 2016

The news coverage of Sewol Ferry catastrophe has reprimanded from numbers of people because of false reports and mediamorphosis such as distorted news. Thus, the purpose of this study is to examine the news coverage of television news programs about the Sewol Ferry catastrophe. Specifically, this study was conducted to figure out problems with the disaster news reports of several broadcasting stations such as, KBS, MBC, SBS and JTBC. Furthermore, the study also explores about how they reported without following the rules of disaster news coverage and policy of disaster news coverage by content analysis.

• Journal of Information Science Theory and Practice
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• v.10 no.2
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• pp.86-101
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• 2022

This research aimed at studying the factors that influence new media exposure of political news by youths in Isan society in Thailand. The target group comprised 1,200 individuals, obtained from multi-stage sampling from undergraduate students in Isan's autonomous universities, governmental universities, and private institutions. The data collection tool was a questionnaire, the content of which was validated by experts. The reliability of the tool was tested by the formula for Cronbach's alpha coefficient, which yielded a reliability of 0.83. Multiple regression analysis was applied to analyze the data. The results, regarding factors influencing the channels for political news exposure, showed that channels for political news exposure were mostly influenced by inner drives, followed by importance in political news exposure, influence from social networks, and specific characteristics of the Internet. This could explain the variation of channels for political news exposure at 46.5%. In terms of factors influencing political news selection, it was found that political news selection was influenced mostly from social networks, followed by inner drives, benefits from political news exposure, specific characteristics of the Internet, and the field of study. The variation of the political news selection could be explained at 44.6%. These results elaborate on the current situation in Thailand, especially in Isan region, where youths in higher education are playing an increasing role in demonstrating their political stance through various political activities.