• Journal of Contemporary Eastern Asia
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• v.18 no.2
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• pp.33-48
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• 2019

The current Moon Jai-in administration in South Korea is facing serious challenges as a result of a scandal involving the manipulation of news online. Staff in Moon's camp are suspected of manipulating public opinion by creating millions of fake news comments online, contributing to Moon being elected president. This South Korean political scandal raises a number of theoretical issues with regard to new platform technologies and media manipulation. First, the incident exposes the technological limits of blocking manipulation of the news, partly because of the nature of social media and partly because of the nature of contemporary technology. Contemporary social media is often monopolistic in nature; with the majority of people are using the same platforms, and hence it is likely that they will be subject to forms of media manipulation. Second, the Korean case of news manipulation demonstrates a unique cultural aspect of Korean society. News comments and readers' replies have become a major channel of alternative news in Korea. This phenomenon is often designated as "reply journalism," since people are interested in reading the news replies of ordinary readers equally to reading news reports themselves. News replies are considered indicators of public opinion and are seen as affecting trias politica in Korean society. Third, the Korean incident of news manipulation implicates a new form of populism in the 21st century and the nature of democratic participation. This article aims to explicate key issues in media manipulation by including wider technological, cultural, and political aspects in the South Korean news media context.

• Journal of information and communication convergence engineering
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• v.10 no.2
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• pp.135-140
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• 2012

Massive numbers of users of social networks share various types of information such as opinions, news, and ideas in real time. As a new form of social network, Twitter is a particularly useful information source. Studying influence can help us better understand the role of social networks. The popularity of social networks like Twitter is primarily measured by the number of followers. The number of followers in Twitter and the number of users exposed to news media are important factors in measuring influence. We chose Twitter and the New York Times as representative media to analyze the influence and present an empirical analysis of these datasets. When the correlation between the number of followers in Twitter and the number of users exposed to the New York Times is computed, the result is moderately high. The correlation between the number of users exposed to the New York Times and the number of sections including the users on it, was found to be very high. We measure the normalized influence score using our proposed expression based on the two correlation coefficients.

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.179-191
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• 2021

Social anxiety continues due to the emergence and spread of covid-19 infections. In this situation, false information related to the covid-19 infection is distributed through SNS in the form of fake news, which is a stumbling block to overcoming the national crisis. This study tried to present a theoretical basis for the establishment of policies for the regulation and eradication of fake news circulated through SNS by examining the effect of social anxiety on the fake news acceptance attitude by focusing on the use degree of SNS. For this study, a survey of 380 university students in the Seoul metropolitan area was conducted, and 336 data collected among them were analyzed as SPSS 25.0 and AMOS 23.0. According to the analysis results, social anxiety has a positive effect on the fake news acceptance attitude and the use degree of SNS, also the use degree of SNS has a positive effect on the fake news acceptance attitude. In addition, social anxiety has been confirmed to have a positive effect on fake news acceptance attitude through the use degree of SNS. These results empirically confirm the relationship between social anxiety, fake news acceptance attitude, and the use degree of SNS.

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

• Social Workers
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• no.6 s.38
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• pp.53-57
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• 2005

• Social Workers
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• no.1 s.33
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• pp.46-49
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• 2005

• Social Workers
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• no.3 s.35
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• pp.55-57
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• 2005

• Social Workers
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• no.8 s.52
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• pp.56-58
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• 2006

• Social Workers
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• no.1 s.45
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• pp.50-53
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• 2006

• Social Workers
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• no.6 s.50
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• pp.58-62
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• 2006