• Knowledge Management Research
• /
• v.20 no.2
• /
• pp.87-103
• /
• 2019

The purpose of this study was to explore the factors influencing acceptance (e.g., comprehension,) and diffusion of information recipients' by depending on the authenticity of news. Specifically, this study has examined the effects of the news contents(political vs. general), need for cognition(high vs. low) and authenticity of the News(real news vs. fake news) on both acceptance and diffusion of news. Based on previous work, this study has developed a conceptual model to present each research hypothesis and tested it by conducting experiments as the follows. As a result, according to the authenticity of the news and the contents of the news (political and general), the acceptance of political contents was high regardless of the authenticity of the news, and the acceptance of real news was higher than that of fake news. However, in the proliferation (comment), both the political contents and the general contents showed the characteristic of spreading (commenting) fake news rather than real news. contrary to this, the cognitive level did not show any significant difference in acceptance (understanding) and proliferation (comment, sharing, recommendation). This study provides academic implications in that it examines the influences of accepting (comprehension) and diffusion (comment, sharing, recommendation) of real news and fake news. It also provides practical implications for responding to fake news and new marketing strategies in an environment where contents are delivered through diverse social media.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.2
• /
• pp.149-156
• /
• 2021

Text mining is one of the useful tools to discover public opinion and perception regarding political issues from big data. It is very common that users of social media express their opinion with newly-coined words such as slang and emoji. However, those new words are not effectively captured by traditional text mining methods that process text data using a language dictionary. In this study, we propose effective methods to extract newly-coined words that connote the political stance and opinion of users. With various text mining techniques, I attempt to discover the context and the political meaning of the new words.

• The Journal of the Korea Contents Association
• /
• v.15 no.4
• /
• pp.391-406
• /
• 2015

As the individual participation in online news sites proliferates, the importance of online news comments has been increasing. Social comment services which help people leave comments on news articles using their own SNS (social networking site) accounts have gained popularity recently. Using data gathered from an online news site, this study, therefore, (1) identifies factors differentiating social comments from general comments, (2) examines how social comments are significantly different from general comments in terms of each factor, (3) and further validates how the social comments' characteristics vary among different type of SNS. Then, we investigated this study by applying t-test, ANOVA, and Duncan test of SPSS Statistics. Our results provide insights on the significant differences in all the factors between general and social comments. We also found that there is a significant difference between Facebook and Twitter groups among three types of SNS. The findings of this study would help assess the actual benefit of social comment services as they may provide us with several valuable leads to solve the malicious comments issue. Moreover, they would suggest the need to apply this service to other areas, such as online environments in private and public sectors.

• Journal of the Korean Ceramic Society
• /
• v.28 no.10
• /
• pp.838-842
• /
• 1991

• Asia pacific journal of information systems
• /
• v.24 no.2
• /
• pp.1001-1005
• /
• 2014

• Journal of Preventive Medicine and Public Health
• /
• v.49 no.2
• /
• pp.139-140
• /
• 2016

• Journal of Preventive Medicine and Public Health
• /
• v.49 no.2
• /
• pp.141-141
• /
• 2016

• The Magazine for Energy Service Companies
• /
• s.6
• /
• pp.62-65
• /
• 2000

• Asia pacific journal of information systems
• /
• v.24 no.1
• /
• pp.1001-1004
• /
• 2014

• Asia pacific journal of information systems
• /
• v.24 no.3
• /
• pp.1001-1006
• /
• 2014