• Information Systems Review
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• v.22 no.4
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• pp.93-113
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• 2020

This study investigates how the users' perceptions on like function in social media affect their attitudes toward the number of likes they receive from others. People conveniently believe that the number of likes is a significant measure of their online content quality and popularity. However, we take an ambivalent view that people do not settle their perceptions on the likes but change their like assessments according to circumstances. Specifically, we propose a model wherein emotional responses to the received likes may affect the value assessment of the likes. Our model shows how people resolve their internal contradiction on the value of the likes by flipping the traditional cognition-to-emotion mechanism to emotion-to-cognition mechanism. We validate the reversed dynamics between judgements and feelings using the data collected from 548 social media users. Results confirm that social media users' attitudes toward likes is largely affected by their emotional responses to their received number of likes. The implications of this study explain social media users' ambivalent attitudes toward likes by showing how they adjust their individual like valuation using their emotional responses.

• Korean Journal of English Language and Linguistics
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• v.2 no.2
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• pp.279-285
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• 2002

English allows conjoined wh-questions to have two different readings. The English sentence Which person does John like and Mary admire\ulcorner involves ATB movement and is understood either as single questions requiring one set of individuals that are liked by John and admired by Mary (which person x, likes (j,x) & admires (m,x)) or as coordinated wh-questions, allowing distinct individuals that John likes and Mary admires (which person x, likes (j,x) & which person y, admires (m,y)). I argue this ambiguity is explained by the two key assumptions about wh-movement in Chomsky (1995): (1) Movement is copying. (2) wh-phrases consist of a wh-element and a nominal restrictor. This yields two possible LFs for English depending on whether [Wh+nominal] or wh alone is interpreted as a variable. It is therefore natural for me to propose that number of questions understood corresponds to the number of nominal segments at LF.

• Knowledge Management Research
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• v.19 no.1
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• pp.41-57
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• 2018

While there are lots of studies on examining the effects of social rapport in many research areas, however, there is a little work in examining the effect of the social rapport in social network service (SNS) contexts. Thus, this study attempts to examine the effect of social rapport in SNS settings. To address the research questions, this study has presented its hypotheses and conducted three experimental approaches by collecting 180 data from student subjects who have prior experiences on using SNSs to verify the hypotheses. This study has examined three experiments the effects of characteristics of Facebook(i.e. the number of mutual friends, the number of post likes, and the post personalities) on the social rapport and user responses. This study has conducted two-way ANOVA to verity its proposed research hypotheses. Based on three experiments, this study found that both the effects of the number of post likes and the number of post likes on the social rapport were not significant. Based upon empirical findings, this study has demonstrated how the effects of social rapports in SNSs were different from those of previous studies, and brought more attentions to the relevant literature.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.115-125
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• 2022

This study examines the effect of performers on the number of views and likes of entertainment show clips consumed on AVOD short form platform. Multiple regression analysis was performed, setting program viewing factors and performer's topicality index as independent variables, and setting the number of views and likes of clips as dependent variables. As a result of the analysis, performer's topicality index had a positive(+) effect on both dependent variables. According to standardized coefficient, on the number of views, the standardization coefficient of the performer's topicality index was the second highest, and on the number of likes it was the highest among variables. The results suggest that performers contribute a lot to the success of clips on AVOD short form platform.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.706-718
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• 2018

This study analyzed Naver TV users' pattern of video clip watching, and analyzed the factors affecting the popularity of Naver TV's video clip. We selected 572 individual video clips that were ranked 50th in Naver TV rankings from September 10th to September 24th in 2017. We classified video clip's characteristics into several factors, including the number of likes, the number of subscriber, genre, video clip's types, and star appearances. We indexed the popularity of video clip, which implies the degree of popularity for each video clip. The results showed that the number of likes for video clips and the number of subscribers for each video clip were positively related to the popularity of video clip. Video clip's genre, video clip's type and star power positively affected the popularity of video clip. The effect of extras genre on the popularity of video clip was the lowest, followed by entertainment, music, and drama genre. but the difference among entertainment, music and drama genre was not statistically significant. Web-only video and non-broadcast video positively affected the popularity of video clip. Finally, the popularity of video clip was higher when stars appeared in the video clip.

• Journal of Distribution Science
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• v.15 no.4
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• pp.33-40
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• 2017

Purpose - This study aims to examine the analysis of pattern on Arab countries consumers' preferences of the Korean Contents using social media, Facebook since Korean entertainment contents have been distributed in the global marketplace. Then we focus on developing Predictive model using a Data Mining Technique. Research design, data and methodology - In order to understand preference growth of Korean contents in Arabic countries, we- collected data from two popular Facebook pages: 'Korean movies and drama' and 'K-pop'. Then, we adopted a data-driven approach based on Data Mining techniques. Results - It is obvious that the number of likes for K-pop will increase for all North African and Middle Eastern countries, however concerning Korean Movies and Drama except Tunisia it is decreasing for Algeria, Egypt and Morocco. Also, concerning Saudi Arabia and United Arab Emirates, the number of likes will decrease for Korean Movies and Drama which is not the case for Iraq. Conclusions - It is noted in this study that K-contents such as drama, movie and music are sometimes a gateway to a wider interest in Korean culture, food and brands. Moreover, this study gives significant implications for developing predictive model to forecast Korean contents' consumption and preferences.

• 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.

• Asian Spine Journal
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• v.12 no.6
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• pp.987-991
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• 2018

Study Design: Cross sectional study. Purpose: To assess the quality of anterior cervical discectomy and fusion (ACDF) videos available on YouTube and identify factors associated with video quality. Overview of Literature: Patients commonly use the internet as a source of information regarding their surgeries. However, there is currently limited information regarding the quality of online videos about ACDF. Methods: A search was performed on YouTube using the phrase 'anterior cervical discectomy and fusion.' The Journal of the American Medical Association (JAMA), DISCERN, and Health on the Net (HON) systems were used to rate the first 50 videos obtained. Information about each video was collected, including number of views, duration since the video was posted, percentage positivity (defined as number of likes the video received, divided by the total number of likes or dislikes of that video), number of comments, and the author of the video. Relationships between video quality and these factors were investigated. Results: The average number of views for each video was 96,239. The most common videos were those published by surgeons and those containing patient testimonies. Overall, the video quality was poor, with mean scores of 1.78/5 using the DISCERN criteria, 1.63/4 using the JAMA criteria, and 1.96/8 using the HON criteria. Surgeon authors' videos scored higher than patient testimony videos when reviewed using the HON or JAMA systems. However, no other factors were found to be associated with video quality. Conclusions: The quality of ACDF videos on YouTube is low, with the majority of videos produced by unreliable sources. Therefore, these YouTube videos should not be recommended as patient education tools for ACDF.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.163-171
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• 2021

This study aimed to investigate the main characteristics of the COVID-19 vaccine-related videos spread on YouTube and differences in user responses in the infodemic situation caused by COVID-19. As a result of content analysis of 579 videos related to the COVID-19 vaccine, it was found that all of the false information was written by individual channels. Institutions, organizations, media companies, and government channels reported spread of false information as well as fact-oriented reporting. The progressive channel had a high percentage of positive sentiment in favor of vaccination, and the conservative channel had a high percentage of negative emotion against vaccination. After the vaccination started, the number of videos on government channels increased, and it was found that the number of videos with positive emotions increased. Results of regression analysis of video characteristics that affect the number of likes indicated that personal expert videos and videos from progressive channels received more likes. Combining the research results, we propose a plan to promote government policies regarding the COVID-19 vaccine using social media.