• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.109-114
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• 2019

This study explored how the tendency of writing 'comment' by Facebook users and the number of 'like' in posting message affected to product attitude, purchasing intention. One hundred thirty five male and female college students were divided into groups with high/low tendency of writing 'comment'. The subjects had to read posting message about athlete shoes on Facebook's newsfeed, different from the conditions under which the 'like' in the posting was high and low. Then, they were responded product attitude and the intention of purchasing. The results of two-way ANOVA showed that the users with low tendency of writing 'comment' displayed more positive product attitude and higher willingness to purchase under condition with a high 'like' number of posting than under condition with a low 'like' number of it.

• Information Systems Review
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• v.19 no.1
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• pp.101-121
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• 2017

This study explored the emotional and social implications of social media "like" behavior and examined the difference in this behavior across gender. Most studies on social media have analyzed the "like" behavior quantitatively and determined the number of "likes" produced and exchanged. The current study presented a different view by applying a social perspective and analyzing the user intrinsic motives embedded in the "like" behavior. Specifically, we identified empathy and social support as the "like" motivations and used relationship building and information sharing as the mediators. Furthermore, we hypothesized that empathy and social support exhibit different effects on the use of social media across gender: the female group shows strong empathy, and the male group shows strong social support. Validation was performed through a survey of 285 social media users. The results confirmed that empathy and social support have significant effects on the use of social media. However, gender difference in the use of social media was not evident and was only partially evident in the effects of empathy and social support.

• 가정의 벗
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• v.33 no.3 s.379
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• pp.19-19
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• 2000

• 건강소식
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• v.24 no.1 s.254
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• pp.16-17
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• 2000

• KLA journal
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• v.46 no.5 s.360
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• pp.33-34
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• 2005

• Monthly Duck's Village
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• s.161
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• pp.86-89
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• 2016

• Monthly Duck's Village
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• s.75
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• pp.110-111
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• 2009

• KIPS Transactions on Software and Data Engineering
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• v.4 no.6
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• pp.269-276
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• 2015

The today's rapid spread of smartphones makes it easier to use SNS. However, it reveals only their daily life or interest. Therefore, it is hard to really get to know the detailed part of multi-user's common interests. This paper proposes a content recommendation system which recommends people wanted by identifying common interests through SNS. Recommendation system includes proposal formula considering people wanted and deviation in group. After simulation, the proposed system provide high-quality adapted contents to many users by recommendation item according to the common interest. Number of cases about formula are four. It recommend contents that they have many number of 'like' and few number of deviation in users. The proposed system proves by simulations of four cases and read user's 'likes' data. It provide high-quality adapted contents to many users by recommendation item according to the common interest.

• The Journal of Bigdata
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• v.1 no.1
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• pp.61-66
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• 2016

With big data analysis, companies use the customized marketing strategy based on customer's information. However, because of the concerns about privacy issue and identity theft, people start erasing their personal information or changing the privacy settings on social network site. Facebook, the most used social networking site, has the feature called 'Likes' which can be used as a tool to predict user's demographic profiles, such as sex and age range. To make accurate analysis model for the study, 'Likes' data has been processed by using Gaussian RBF and nFactors for dimensionality reduction. With random Forest and 5-fold cross-validation, the result shows that sex has 75% and age has 97.85% accuracy rate. From this study, we expect to provide an useful guideline for companies and marketers who are suffering to collect customers' data.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.194-204
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• 2016

With the fast diffusion of smart media, Webtoon has become popular contents among Korean people. Webtoon's content is being used in various content industries, such as movies and drama, and thus its cultural influence is increasing. Using ordinal Regression analysis, this study tried to find major factors affecting webtoon's success. This study found that readers' rating, number of likes, OSMU, author power, genre, picture style are important factors affecting the success of webtoon. This study has several business implications for the Korean webtoon industry.