• Journal of Contemporary Eastern Asia
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• v.20 no.2
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• pp.108-128
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• 2021

Research on the news coverage of North Korea has been paying less attention to social media platforms than to legacy media. An increasing number of social media users post, retweet, share, interpret, and set agendas on North Korea. The accessibility of international users and North Korea's publicity purposes make social media a venue for expression, news diversity, and framing about the nation. This study examined the sentiment of Twitter posts on North Korea from a framing perspective and the relationship between network strengths and sentiment from a social network perspective. Data were collected using two tools: Jupyter Notebook with Python 3.6 for preliminary analysis and NodeXL for main analysis. A total of 11,957 tweets, 10,000 of which were collected using Python and 1,957 tweets using NodeXL, about North Korea between June 20-21, 2020 were collected. Results demonstrated that there was more negative sentiment than positive sentiment about North Korea in the sampled Twitter posts. Some users belonging to small network sizes reached out to others on Twitter to build networks and spread positive information about North Korea. Influential users tended to be impartial to sentiment about North Korea, while some Twitter users with a small network exhibited high percentages of positive words about North Korea. Overall, marginalized populations with network bonding were more likely to express positive sentiment about North Korea than were influencers at the center of networks.

• Korean journal of communication and information
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• v.81
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• pp.329-362
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• 2017

This study starts from the awareness that 'rebellious communication' is still being regulated in various ways even though 'rebellious communication' was declared unconstitutional in a decision by the Constitutional Court in 2002. The meaning of 'rebellious' has been amplified and transformed at various points through the censorship systems established during the Japanese colonial era, the US military period, and the regime of Park Jung-hee. In particular, 'rebellious communication' is regulated to protect 'national security' and 'social customs' from the perspective of power. This study analyzed discourses containing judgement about the Park Jung-geun case and the violation of the National Security Law using retweet accounts or posts related to North Korea. This study explores the genealogy of 'rebellious communication' based on its relationship to the characteristics of Twitter and specific individuals.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.81-91
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• 2019

Recently, social network service (SNS) is actively used by public. Among them, Twitter has a lot of tweets including sentiment and it is convenient to collect data through open Aplication Programming Interface (API). In this paper, we analyze social issues and suggest the possibility of using them in marketing through sentimental information of users. In this paper, we collect twitter text about social issues and classify as positive or negative by sentiment classifier to provide qualitative analysis. We provide a quantitative analysis by analyzing the correlation between the number of like and retweet of each tweet. As a result of the qualitative analysis, we suggest solutions to attract the interest of the public or consumers. As a result of the quantitative analysis, we conclude that the positive tweet should be brief to attract the users' attention on the Twitter. As future work, we will continue to analyze various social issues.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.39-45
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• 2018

Twitter users use 'Following', 'Retweet' and so on to find tweets that they are interested in. However, it is difficult for users to find tweets that are of interest to them on Twitter, which has more than 300 million users. In this paper, we developed a customized tweet recommendation system to resolve it. First, we gather current trends to collect tweets that are worth recommending to users and popular tweets that talk about trends. Later, to analyze users and recommend customized tweets, the users' tweets and the collected tweets are categorized. Finally, using Web service, we recommend tweets that match with user categorization and users whose interests match. Consequentially, we recommended 67.2% of proper tweet.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.712-720
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• 2022

The use of social media to disseminate news and interact with project stakeholders is increasing over time in the construction industry. Such social media data can be analyzed to get useful insights of the industry such as demands of new housing construction and satisfaction of construction workers. However, there has been a limited attempts to analyze social media data related to the construction industry. The objective of this study is to collect and analyze construction related tweets to understand the overall sentiments of individuals and organizations about the construction industry. The study collected 87,244 tweets from April 6, 2020, to April 13, 2020, which had hashtags relevant to the construction industry. The tweets were then analyzed to evaluate its sentiments polarity (positive or negative) and sentiment intensity or scores (-1 to +1). Descriptive statistics were produced for the tweets and the sentiment scores were visualized in a scatterplot to show the trend of the sentiment scores over time. The results shows that the overall sentiment score of all the tweets was slightly positive (0.0365). Negative tweets were retweeted and marked as favorite by more users on average than the positive ones. More specifically, the tweets with negative sentiments were retweeted by 2,802 users on average compared to the tweets with positive sentiments (247 average retweet count). This study can potentially be expanded in the future to produce a real time indicator of the construction market industry such as the increased availability of construction jobs, improved wage rates, and recession.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1224-1230
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• 2014

Because Twitter provides an easy way to reweet and reply to other user's tweets, it is used to delivery our opinion to others and get useful information from followers as a useful tool. Recently, there have been many attempts to use Twitter in many application area. Especially, Twitter has been tried to use in education area. Twitter service can be used in educational environments as a communication tool between professor and students and among students without restriction on space and time. Twitter service has good possibility of applying, but there have not been many studies that prove the effectiveness and possibility of the tool as a useful educational tool through experimental studies. In this study, Twitter is used as a tool of the question-and- answer session of the university students during a semester. And the activities are investigated and analyzed. As the results of the analysis, if we do not force the use of Twitter, Twitter utilization of students is low. Thus, we show that Twitter has the potential for educational utilizing, but the aggressive efforts between professor and students are needed to show such effects.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.204-210
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• 2016

The reason to research the musical is it has a lot of useful things for the various studies department not only Korea Musical Theatre own although it has been a successful musical theater on the Off-Broadway by Reboot culture era. Even though does not release on Korea, the popular of the show and powerful results of environments have delivered through the international magazines and Youtube channels to Korea. To study of Musical will be lead us to the world which adopted to the social problems as the youth school violence, family communication hurdle, and religion missing by script not only the musical drama but the interpretation for Teen-agers social problem. There are many kinds of Neo educations are proved by smart learning as STEAM. The students who have been studied with the smartphone, I-pad, personal computer, or laptop as smart tools for class are familliar as feedback processing speedly. It would make them learn the skill for their knowledge of a digital age, but it should not let them how to understand other people's emotion as real although STEAM has emtion part. Besides they have communicated on the social network not the ordinary man but the special ego by themselves, as mention or retweet as like their amusements and make the gossip group. This study would show the perspective for understanding Teen-agers Social Problem and who is the victims today's juvenile problems though the musical based on Jim Taulli's directing.

• Journal of the Korean association of regional geographers
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• v.23 no.2
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• pp.376-387
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• 2017

This paper attempts to analyze the geographical characters of Twitter data and presents analysis potentials for social network analysis in geography. First, this paper suggests a methodology for a topic modeling-based approach in order to identify the geographical characteristics of tweets, including an analysis flow of Twitter data sets, tweet data collection and conversion, textural pre-processing and structural analysis, topic discovery, and interpretation of tweets' topics. GPS coordinates referencing tweets(geotweets) were extracted among sampled Twitter data sets because it contains the tweet place where it was created. This paper identifies a correlated relationship between some specific topics and local places in Jeju. This correlation is closely associated with some place names and local sites in Jeju Island. We assume it is the intention of tweeters to record their tweet places and to share and retweet with other tweeters in some cases. A surface density map shows the hotspots of tweets, detecting around some specific places and sites such as Jeju airport, sightseeing sites, and local places in Jeju Island. The hotspots show similar patterns of the floating population of Jeju, especially the thirty-year age group. In addition, a topic modeling algorithm is applied for the geographical topic discovery and comparison of the spatial patterns of tweets. Finally, this empirical analysis presents that Twitter data, as social network data, provide geographical significance, with topic modeling approach being useful in analyzing the textural features reflecting the geographical characteristics in large data sets of tweets.

• Journal of Internet Computing and Services
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• v.18 no.2
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• pp.87-96
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• 2017

Since SNS has gained its popularity as the means of diffusion of Hallyu, this study aims to examine the relationships between SNS use and Hallyu. In particular, this study explored how the use of SNS as a tool for obtaining information about Korean entertainment influence Chinese attitude toward Hallyu and Hallyu contents In doing so, the study conducted the case of Sina Weibo, the most leading SNS in China. The survey questionnaire was administrated to college students who use Sina Weibo in China. Two hundreds forty one surveys were included in the final analysis. The result indicated that Sina Weibo use is strong predictor influencing attitude toward Hallyu and Hallyu contents. The more students use Sina Weibo to get Korean entertainment information the more they have positive attitude toward Hallyu contents and acceptance of Hallyu in their life. In addition, the study found that attitude toward Hallyu(in terms of acceptability) depends on the level of activity in the Sina Weibo among college students in China. In other words, the passive users (e.g. lurking) are more likely to adopt Hallyu rather than active users (e.g. people who are more likely to retweet Korean entertainment information on Sina Weibo or click 'like). Based on these findings the implications, limitations and directions for future studies are discussed.