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

• Korean Medical Education Review
• /
• v.19 no.3
• /
• pp.158-168
• /
• 2017

There is a more urgent call for educational methods of machine learning in medical education, and therefore, new approaches of teaching and researching machine learning in medicine are needed. This paper presents a case using machine learning through text analysis. Topic modeling of news articles with the keyword 'asbestos' were examined. Two hypotheses were tested using this method, and the process of machine learning of texts is illustrated through this example. Using an automated text analysis method, all the news articles published from January 1, 1990 to November 15, 2016 in South Korea which included 'asbestos' in the title and the body were collected by web scraping. Differences in topics were analyzed by structured topic modelling (STM) and compared by press companies and periods. More articles were found in liberal media outlets. Differences were found in the number and types of topics in the articles according to the partisanship and period. STM showed that the conservative press views asbestos as a personal problem, while the progressive press views asbestos as a social problem. A divergence in the perspective for emphasizing the issues of asbestos between the conservative press and progressive press was also found. Social perspective influences the main topics of news stories. Thus, the patients' uneasiness and pain are not presented by both sources of media. In addition, topics differ between news media sources based on partisanship, and therefore cause divergence in readers' framing. The method of text analysis and its strengths and weaknesses are explained, and an application for the teaching and researching of machine learning in medical education using the methodology of text analysis is considered. An educational method of machine learning in medical education is urgent for future generations.

• Journal of Korean Home Economics Education Association
• /
• v.32 no.3
• /
• pp.97-110
• /
• 2020

The purpose of this study is to develop milk education materials for adults based on the scientific basis of right milk consumption in the format of card news that can be easily accessed on a mobile phone or the internet and has high impact. The topics to be included in the card news were selected based on the findings from literature analysis and focus group interviews with 10 adults(32.0±6.4 years). For the eight selected topics, effective communication was made by suggesting some information that users want to know while reflecting adult eating habits, lifestyle habits, and nutrition and health interests. The card news draft was reviewed by researcher and consulting experts, and then questionnaire survey was conducted using Likert 5-point scales by 50 adults(42.7±10.2 years). Based on the results of the review, consultation and questionnaire survey, a final draft of the card news consisting of 11 cuts was completed. Card news proposal is expected to produce educational effects, since the respondents showed high satisfaction with the card news (higher than 4 on the 5-point scales) according to the questionnaire survey. Adults can easily access and use the card news developed in this study, and thus this card news is expected to increase milk consumption in adulthood and improve nutrition and health through friendly and systematic milk education.

• Journal of Internet Computing and Services
• /
• v.21 no.6
• /
• pp.105-112
• /
• 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.

• English Language & Literature Teaching
• /
• v.9 no.spc
• /
• pp.113-129
• /
• 2003

This study aims to probe for ideological construction within the linguistic structure of newspaper reporting. The study focuses on news reports relating the issue of new IOC chairman election in English version of four mainstream newspaper published in Korea: The Donga Daily News, The Jungang Daily News, The Chosun Daily News, and The Korea Times. The analysis of these reports adheres to the analytic paradigm of critical linguistic analysis and shows how the newspaper articulate conflicting ideological positions in their reports of new IOC chairman election. The analysis demonstrates how the event of new IOC chairman election is naturalized in racist accounts. This study is important for understanding the constructive nature of language practices. The study concludes with a discussion to explain the need for critical awareness in choosing right teaching material, considering that news reports are widely accepted as an authentic material for English education.

• 대학교육
• /
• s.162
• /
• pp.89-92
• /
• 2009

• 대학교육
• /
• s.163
• /
• pp.88-94
• /
• 2010

• 대학교육
• /
• s.163
• /
• pp.95-96
• /
• 2010

• 대학교육
• /
• s.163
• /
• pp.97-102
• /
• 2010

• Journal of Information Technology Applications and Management
• /
• v.14 no.3
• /
• pp.179-197
• /
• 2007

This paper analyzed the effects of interactions among participants on the satisfaction and commitment of cyber education. Even if the quality of interactions in cyber education may not be so good as that of interactions in face to face education. various kinds of interactions could be introduced in cyber education. An email or Q/A between lecturer and students could be a good way to compensate the deficiency of cyber education. Common News Boards or Discussion Rooms among students themselves are also a powerful means to learn each other in cyber space. The result of this study shows that as interactions among participants increase. satisfaction and commitment of the lecture also increase. This study also analyzed how cyber educational effects differs as interaction type changes in space dimension and time dimension. The result shows interactions in the same cyber space such as News Board brings more desirable outcome than those in the different cyber space. But the effects of interactions classified by time dimension does not show statistically significant differences.