• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.1111-1117
• /
• 2023

Recently, South Korean newspapers began trying to charge for online news. This study attempts to shed light on the factors that influence payment for online news by analyzing Korea Press Foundation's 2022 Media Audience Survey (N = 58,936). The results of this study showed a steady increase in past payment and paying intent for online news since 2020. Predictors of past payment for online news included gender, age, and education, and interest in political and social issues. News use through specific media (i.e., newspapers, magazines, portals, messengers, social media, video sites, and podcasts), as well as mobile applications and e-mail newsletters, were found to contribute to paid subscriptions. Based on the findings of the study, news organizations should prepare to offer differentiated news content through their own news platforms and establish concrete plans to build trust in news.

• The Journal of the Korea Contents Association
• /
• v.13 no.4
• /
• pp.73-85
• /
• 2013

This study examines the online social capital of local press using the website and social media. Moreover, the paper respectively visualizes web feature as Web 1.0 and social feature analysis as Web 2.0 by applying correspondence analysis. For data, the study analyzes 10 representative local press in Yeungnam areas. To collect the data, two coders coded web features from the websites and we employed NodeXL, an open-source software tool, for social media data. The results reveal that local websites expend online social capital using social media account. Especially, the social features of local presses attach importance to Twitter as the main press keep the well-balance use among all platforms.

• The Journal of the Korea Contents Association
• /
• v.15 no.4
• /
• pp.122-138
• /
• 2015

This research examines factors affecting behavioral intention to use integrated platform (IP), which is one of the business models regarding paid digital contents, based on extended United Theory of Acceptance and Use of Technology (UTAUT2). IP is a service which is designed to make digital content charged. It combines digitalized format of newspaper, premium news or behind news, and additional information. The results of this paper show that effort expectancy, social influence and hedonic motivation have positive relationship with behavioral intention to use IP (BI). Satisfaction with newspaper shows negative relationship with BI, which means that newspaper and IP can be replaced with each other. Newspaper subscribers tend to have higher BI than non-subscribers. Performance expectancy, gender, age, and satisfaction with website do not have significant effect on BI.

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

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.53-61
• /
• 2022

Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.