• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.139-149
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• 2014

This study attempts to explore the inter-media agenda setting effect between television and Twitter based on the framework of the two-step flow theory. Twitter's increasingly important role in political communication can be effectively addressed by examining the process by which Twitter users form their opinions on television debate program. Content analyses of Twitter discussions after television debate of the Korean presidential candidates provided interesting insights into how Twitter's opinion leaders reflect on the televised debates. The results show that Twitter mentions rather focus on personality traits of the candidates while television debates emphasize the candiates' policy issues. Specifically, Twitter users mainly concentrated on the political ideology and morality of the candidates. In sum, Twitter seems to have its own way of influencing the public opinion separately from the television.

• KIEAE Journal
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• v.12 no.6
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• pp.69-75
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• 2012

Because the demand or sensitivity of users of space has an important influence on the direction of design concerning indoor greening, this study examined the customers' preferences and trends for use in this field. By analyzing the results, types of space for indoor greening that can be utilized as indoor greening design such as vegetation selection, space positioning, design types, etc. were derived. The research and analysis was set for living space, business space, commercial space and public space. For each space, there were vegetations in over 50% of the space, and in all the spaces, the majority of people were of the positive opinion. As the desired space for the introduction of indoor greening, high levels of preference were seen in the following areas: 'veranda' and 'living room' for the residential space; 'main work space' and 'resting space' for the office space; and 'rest area,' 'entrance area' and 'lobby area' for the public space and commercial space. The preference of each of the spaces displayed slightly different trends in accordance with the characteristics of space and users. If indoor greening space were to be designed for these spaces according to the types, which are derived from the preference levels examined in this study, it is deemed that the satisfaction levels of users of the spaces could be increased.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.201-209
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• 2013

This study is an application of facebook (FB) as a strategic communication of viral marketing. Old fashioned advertising and public relation in facebook are not effective at social network service(SNS) environment, and a different marketing communication is needed because facebook is essentially oriented for building relationship among people. The study assumes that an opinion leader might exist at facebook and tries to find out how facebook users show a pattern of communication based on level of opinion leadership regarding a product. The findings showed that people with high opinion leadership communicated more actively than people with low opinion leadership. This study will contribute to segment seed consumers using opinion leadership in facebook.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.173-187
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• 2012

As newspapers which have been major news media are being replaced by on-line news media in recent years, many researchers are paying attention to "comments(news users' short remarks on an article)", a newly emerged way of forming public opinion. This study is examining how the similarity between political disposition of on-line news visitors and that of news media impacts upon their evaluation on quality of comments from the viewpoint of 'social identity theory.' This study may have academic significance because it inspected the pattern of media usage and the cognition of comments in relation to political disposition for the first time and showed 'comments reading' and the function of comments to form public opinion(comments journalism).

• Journal of Korean Society of Archives and Records Management
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• v.18 no.2
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• pp.135-161
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• 2018

This study recognized the public servants of the local governments as the principal users of the records centers. It also attempted to identify their records usage behavior and the requirements of record usage so that records and services that meet their needs as the main users would be met. Therefore, the researchers identified through an information disclosure request the highly ranked departments that use records more than the others based on their usage frequency of the records centers and the standard records management system (standard RMS) during the third quarter of 2017. A questionnaire survey was subsequently conducted to the public servants of the local governments in the metropolitan area. The questionnaire identified the users' opinion on general usage behavior, usage of standard RMS, and usage of the records center. Based on the survey results, improvements in the management of the records centers the record management system, and the record services of the local governments were suggested.

• Culinary science and hospitality research
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• v.9 no.2
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• pp.64-84
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• 2003

There is this research that supply better experience and satisfaction of most suitable in users standpoint to users through family restaurant website importance and assessment of satisfaction. Also, there is purpose of this research to supply pendulum in family restaurant internet marketing strategy establishment that website can achieve continuous role as marketing means to be not public information that drive revisit and substantial restaurant visit. Family restaurant website estimation received satisfaction assessment which do not get in importance (expected value) in general as analysis result. In other words, domestic family restaurants website are doing construction. operation by marketing means but real users are various interaction part that can collect and achieve about customer opinion except design part that can do to emboss company's image could see side that satisfaction is unenchanted and presented improvement way in website construction. operation on contents part of various and correct information offer and so on that customer infancy strategy part and user of event and coupon event etc. that is distinction robbers need. Also, realization possibility for restaurant prescription that latent customers who use net can raise family restaurant website revisit and substantial sale could see side. Ditto improvement way in that family restaurants construct and operate website conclusively as a marketing tool that public information is not that three offers satisfaction of most suitable to latent customers who use existent net to website as can achieve continuous role contribute.

• Journal of the Korea Society of Computer and Information
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• v.23 no.1
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• pp.9-15
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• 2018

Policy polls, which investigate the degree of support that the policy has for policy implementation, play an important role in making decisions. As the number of Internet users increases, the public is actively commenting on their policy news stories. Current policy polls tend to rely heavily on phone and offline surveys. Collecting and analyzing policy articles is useful in policy surveys. In this study, we propose a method of analyzing comments using deep learning technology showing outstanding performance in various fields. In particular, we designed various models based on the recurrent neural network (RNN) which is suitable for sequential data and compared the performance with the support vector machine (SVM), which is a traditional machine learning model. For all test sets, the SVM model show an accuracy of 0.73 and the RNN model have an accuracy of 0.83.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.9-15
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• 2018

This study is intended to investigate that it is possible to analyze the public awareness and satisfaction of the weather forecast service provided by the Korea Meteorological Administration (KMA) through social media data as a way to overcome limitations of the questionnaire-based survey in the previous research. Sentiment analysis and association rule mining were used for Twitter data containing opinions about the weather forecast service. As a result of sentiment analysis, the frequency of negative opinions was very high, about 75%, relative to positive opinions because of the nature of public services. The detailed analysis shows that a large portion of users are dissatisfied with precipitation forecast and that it is needed to analyze the two kinds of error types of the precipitation forecast, namely, 'False alarm' and 'Miss' in more detail. Therefore, association rule mining was performed on negative tweets for each of these error types. As a result, it was found that a considerable number of complaints occurred when preventive actions were useless because the forecast predicting rain had a 'False alarm' error. In addition, this study found that people's dissatisfaction increased when they experienced inconveniences due to either unpredictable high winds and heavy rains in summer or severe cold in winter, which were missed by weather forecast. This study suggests that the analysis of social media data can provide detailed information about forecast users' opinion in almost real time, which is impossible through survey or interview.

• Asian Journal for Public Opinion Research
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• v.9 no.1
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• pp.48-82
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• 2021

This research article attempts to understand the current situation of fake news on social media in India. The study focused on four characteristics of fake news based on four research questions: subject matter, presentation elements of fake news, debunking tool(s) or technique(s) used, and the social media site on which the fake news story was shared. A systematic sampling method was used to select a sample of 90 debunked fake news stories from two Indian fact-checking websites, Alt News and Factly, from December 2019 to February 2020. A content analysis of the four characteristics of fake news stories was carefully analyzed, classified, coded, and presented. The results show that most of the fake news stories were related to politics in India. The majority of the fake news was shared via a video with text in which narrative was changed to mislead users. For the largest number of debunked fake news stories, information from official or primary sources, such as reports, data, statements, announcements, or updates were used to debunk false claims.

• Asian Journal for Public Opinion Research
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• v.11 no.1
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• pp.4-30
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• 2023

Previous research has empirically demonstrated the negative effects of social media use on young people's psychological well-being. Unlike most previous studies that focused on either Facebook or Instagram, this study comparatively examined the differences in upward comparison and its effects on self-esteem, life satisfaction, and depression between Facebook and Instagram. An analysis of survey data from 641 Korean college students, who reportedly use these two social media more actively than any other age group, found that college students experience more upward comparisons on Instagram than on Facebook. Upward comparisons on both Facebook and Instagram increased by college students' age and weekly usage time. Upward comparisons on Instagram increased by the additional factors of gender (females more than males) and number of "followings." Subsequently, the effects of upward comparison on psychological well-being were found to differ by social media platform. Upward comparisons were found to negatively impact all determinants of psychological well-being only on Instagram, but not on Facebook. The differences in upward comparison and its impact on young users' psychological well-being found in this study were discussed in terms of the different functional characteristics of the two social media platforms, which provides direction for further research needed to establish guidelines for healthy social media use by young people.