• 파렛트 뉴스
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• 통권22호
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• pp.9-12
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• 2001

• 대한간호
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• 제10권6호통권56호
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• pp.26-26
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• 1971

• International Journal of Advanced Culture Technology
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• 제5권4호
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• pp.51-56
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• 2017

In every Summer and Winter, there open soccer transfer markets. And these markets draw huge attention from soccer fans and other ordinary people all around world. This phenomenon might indicate great interest of people from the amount of news, blog articles, public messages and replies from online community and forums about popular players and clubs of many leagues. Especially, transfer markets in the year 2017 have generated many gossips than before. In this research, we performed keyword analysis and ranking of news and messages collected and analyzed from online news sites and online forum sites, in order to investigate who and what clubs are mainly discussed.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.348-356
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• 2022

The main objective of this paper is to probe the extent to which misinformation propagated through the different social media platforms contribute effectively in the process of directing, shaping and reshaping societal awareness of Saudis. In so doing, this paper attempts to delve into the relationship between linguistic misinformation and societal awareness, by exploring the perception of Saudis towards social media news, particularly misinformation and the extent to which this misinformation influences the social attitudes of Saudis in terms of various societal issues. Two main research questions are addressed in this study. First, to what extent does social media misinformation affect Saudis' awareness? Second, what are the linguistic manifestations of misinformation presented in the different social platforms? Two main findings have been recorded in this study: first, misinformation significantly contributes to the societal awareness of Saudis; and, second, however misinformation is linguistically manifested at the different levels of linguistic analysis, it is highly representative at the lexicalization level of language use.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.378-384
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• 2023

In this study, we explore social awareness, interest, and acceptance of generative AI, including chatGPT, which has revolutionized web search, 30 years after web search was released. For this purpose, we performed a machine learning-based topic modeling analysis based on Korean news big data collected from November 30, 2022, when chatGPT was released, to August 31, 2023. As a result of our research, we have identified seven topics related to chatGPT and generative AI; (1)growth of the high-performance hardware market, (2)service contents using generative AI, (3)technology development competition, (4)human resource development, (5)instructions for use, (6)revitalizing the domestic ecosystem, (7)expectations and concerns. We also explored monthly frequency changes in topics to explore social interest related to chatGPT and Generative AI. Based on our exploration results, we discussed the high social interest and issues regarding generative AI. We expect that the results of this study can be used as a precursor to research that analyzes and predicts the diffusion of innovation in generative AI.

• International Journal of Contents
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• 제18권2호
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• pp.18-31
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• 2022

This study explored the effects of the parasocial relationship formed by CCTV (China Central Television) TV news and non-traditional news on users' perceived media credibility and their online and offline political participation. This study conducted a survey with the Chinese CCTV users between April 19 and April 30, 2021, and finally, 701 respondents' data were analyzed using structural equation modeling. The study results showed that both TV news and non-traditional news had positive effects on parasocial relationships and the parasocial relationship positively influenced media credibility, which subsequently facilitated political participation. However, there was no direct effect between media usage and media credibility. This implies the important mediating role of parasocial interactions, which enables CCTV news to gain media credibility and subsequently influence political participation. This study suggests that CCTV needs to improve the parasocial interactions between their audience and media figures by utilizing the interactive mechanism of non-traditional media.

• International Journal of Advanced Culture Technology
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• 제12권1호
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• pp.26-33
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• 2024

With the start of COVID-19 in 2020, the MBTI test became popular among Korean young generation and then developed into a nationwide hot topic. This paper aims to investigate the characteristics of the MBTI popularity in Korea and the public opinions toward this phenomenon. With the analysis of the reports contents, 231 news reports related to MBTI were selected from KINDS (Korea Integrated News Database System) as research samples. The general attitude of the media towards MBTI tests and the reasons for the formation of positive and negative evaluations will be discussed from three perspectives: media attention, media attitudes and cognitive sources. The research finds that the increasing interest in MBTI among the younger generation in Korea is driven by a post-epidemic desire for self-exploration, emotional planning, and online group affiliation. MBTI has gained quasi-scientific status, similar to horoscopes, influenced by celebrities and a substantial fan base in online communication. While widely used for entertainment and social currency, there are concerns that extensive labeling may unconsciously impact individuals' self-perception and hinder the development of a holistic and objective cognitive framework.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.147-153
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• 2018

This study is about the interactive self-portrait which provides the experience of self-consciousness reflection of the viewer to modern people who are easily alienated in rapid social change. We proposed interactive self-portrait is implemented by an interactive mirror that reproduces the appearance of the viewer acquired using a webcam. The interactive mirror, which can directly project its own image, is drawn by searching news articles in real time and using the extracted characters as pixel information in real time. The viewer has the opportunity to experience a new style of active self-expression while watching his/herself composed of news characters that are issues of modern society. The virtual self-portrait designed with news characters can attract viewers' attention by visually expressing the interests of modern people and can act as an incentive to generate positive interaction.

• 분석과 대안
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• 제2권2호
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• pp.31-66
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• 2018

This study investigates the mobilizing function of political agreement and disagreement in communition mediated by social media. Analyses of a survey found that reception of news consistent with individual political predispositions through social networking sites (SNS) positively related to political participation, whereas reception of counterattitudinal news was unrelated. Similarly, SNS- based discussion with politically agreeing others predicted political participation, whereas discussion with disagreeing people did not contribute to participation. Moreover, attitude-consistent news reception and agreement in political discussion had interactive influences, as the effects of attitude-consistent news on participation become stronger with increases in discussion with agreement. The results suggest that the mobilizing effects of social media mainly work through political agreement rather than disagreement in communication.