• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.473-487
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• 2017

본 논문은 대한민국의 제19대 대통령 선거와 관련하여 각 후보들의 과학기술정책 공약이 과학자들의 여론을 반영하였는지 알아본다. 이를 위해서, 주요 정당(더불어민주당, 국민의당, 바른정당, 정의당)의 후보들이 과학 언론인 동아사이언스로부터 받은 과학기술정책 공약에 대한 문의에 대해 답변한 내용과 사단법인 과학자 단체인 '변화를 꿈꾸는 과학기술인 네트워크(ESC)'가 발간한 '2017 대선 과학기술지원정책 타운미팅 - 우리는 대통령 후보에게 무엇을 묻고 요구할 것인가'라는 자료집에 대해 답변한 내용을 중심으로 하였다. ESC의 해당 자료집은 ESC 소속 회원들이 주관한 타운미팅에서 참가자들이 소속 및 직위에 의한 제한 없이 반대 의견에 부딪히지 않고 자유롭게 의견을 개진함으로써 발간된 것이기 때문에, 과학기술계의 여론을 가감 없이 반영했다고 볼 수 있다. 분석을 해본 결과, 국민의당 안철수 후보의 과학기술정책 공약이 과학기술계 여론을 가장 많이 반영하였으나, 과학기술 일자리 확충 및 과학기술인재 등용과 관련해서는 더불어민주당 문재인 대통령이, 과학문화 정책과 관련해서는 바른정당 유승민 후보 및 정의당 심상정 후보가 과학기술계 여론을 잘 반영한 것으로 나타났기에, 문재인 대통령이 세부 정책별로 다른 후보의 공약을 참고할 필요가 있는 것으로 파악되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.412-415
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• 2018

헌재, 대부분의 여론조사는 전통적 여론 조사 방식을 사용하고 있다. 그러나 이 방식은 온라인 상에서의 여론을 반영하지 못한다는 문제점이 존재한다. 따라서 이를 해결하고 온라인 상에서의 여론을 반영하기 위해, 비정형 뉴스 데이터를 이용한 지지율 분석 방안을 제안하고자 한다. 이 연구에서는 제안 방안을 알아보고 기존의 방식과 비교한 장단점, 시사점, 개선방안 등을 알아봄으로써 새로운 여론조사 방식의 제안을 목적으로 한다.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.161-183
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• 2022

Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.845-854
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• 2008

Survey reports of election opinions consist of numerous cross-tabulations between socio-demographic variables and political opinions including preferred candidates. Since socio-demographic variables are related each other, duplicate interpretations arise. The aim of this study is twofold: The first is to separate the effects of socio variables such as education, occupation and income from the effects of demographic variables such as region, sex and age. The second is the visualization of multiple cross-tabulations in low-dimensional space by extended doubling technique of correspondence analysis. Survey researchers may get some help from this study to present their survey results more lucidly and visually.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2873-2881
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• 2018

It is very important to obtain objective and credible information through election polls in order to contribute to the correct voting behavior of the voters or to establish appropriate election strategies for candidates or political parties. Therefore, many related organizations such as political parties, media organizations, and research institutions have been making efforts to improve the accuracy of the results of the polls and the election prediction. Kim et al. (2017) analyzed whether the non-response group responded that there is no support candidate in the election survey to increase the accuracy of the estimation of the vote rate. As a result, it has been confirmed that the accuracy of the estimation of the vote rate can be significantly improved by performing an appropriate classification on the non-response layer. In this study, we propose a method to estimate the turnout by each strata (sex, age group) under the condition that the total turnout rate is given for a specific district (region) and propose a procedure to predict the vote rate by reflecting the turnout. In addition, case studies were conducted using data gathered through telephone interviews for the 20th National Assembly elections in 2016.

• Informatization Policy
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• v.24 no.4
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• pp.3-16
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• 2017

With the development of social media services in the era of Web 2.0, the public opinion formation site has been partially shifted from the traditional mass media to social media. This phenomenon is continuing to expand, and public opinions on government polices created and shared on social media are attracting more attention. It is particularly important to grasp public opinions in policy formulation because setting up educational policies involves a variety of stakeholders and conflicts. The purpose of this study is to explore public opinions about education-related policies through an empirical analysis of social media documents on education policies using opinion mining techniques. For this purpose, we collected the education policy-related documents by keyword, which were produced by users through the social media service, tokenized and extracted sentimental qualities of the documents, and scored the qualities using sentiment dictionaries to find out public preferences for specific education policies. As a result, a lot of negative public opinions were found regarding the smart education policies that use the keywords of digital textbooks and e-learning; while the software education policies using coding education and computer thinking as the keywords had more positive opinions. In addition, the general policies having the keywords of free school terms and creative personality education showed more negative public opinions. As much as 20% of the documents were unable to extract sentiments from, signifying that there are still a certain share of blog posts or tweets that do not reflect the writers' opinions.

• Journal of Wetlands Research
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• v.2 no.1
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• pp.41-47
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• 2000

창원시 주남저수지 일대는 세계적인 철새도래지로 주목받고 있으나, 철새로 인한 경제적 피해로 지역민과 환경보전론자 간의 갈등이 심화되고 있다. 따라서 지역민의 이익을 보호하면서도 환경을 보전할 수 있는 대안이 필요하게 되었다. 지역민의 여론을 조사한 결과 지역민들은 철새 피해를 인정하면서도, 철새를 보호해야 한다고 생각하고 있었으며, 환경을 보전하는 관광 개발의 필요성을 제기하였다. 이러한 주민 의견을 반영하여 본 연구에서는 이 지역의 생태관광개발 정책을 수립하였다.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.53-63
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• 2018

The traditional mass media function of conveying information and forming public opinion has rapidly changed into an environment in which information and opinions are shared through social media with the development of ICT technology, and such social media further strengthens its influence. In other words, it has been confirmed that the influence of the public opinion through the production and sharing of public opinion on political, social and economic changes is increasing, and this change is already in use on the political campaign. In addition, efforts to grasp and reflect the opinions of the public by utilizing social media are being actively carried out not only in the political area but also in the public area. The purpose of this study is to explore the possibility of using social media based public opinion in educational policy. We collected media data, analyzed the main topic and probability of occurrence of each topic, and topic trends. As a result, we were able to catch the main interest of the public(the 'Domestic Computer Education Time' accounted for 43.99%, and 'Prime Project Selection' topics was 36.81% and 'Artificial Intelligence Program' topics was 7.94%). In addition, we could get a suggestion that flexible policies should be established according to the timing of the curriculum and the subject of the policy even if the category of the policy is same.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.29-40
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• 2019

Categorical data with non-responses are frequently observed in election poll surveys, and can be represented by incomplete contingency tables. To estimate supporting rates of candidates, the identification of the missing mechanism should be pre-determined because the estimates of non-responses can be changed depending on the assumed missing mechanism. However, it has been shown that it is not possible to identify the missing mechanism when using observed data. To overcome this problem, sensitivity analysis has been suggested. The previously proposed sensitivity analysis can be applicable only to two-way incomplete contingency tables with binary variables. The previous sensitivity analysis is inappropriate to use since more than two of the factors such as region, gender, and age are usually considered in election poll surveys. In this paper, sensitivity analysis suitable to an multi-dimensional incomplete contingency table is devised, and also applied to the 19th Korean presidential election poll survey data. As a result, the intervals of estimates from the sensitivity analysis include actual results as well as estimates from various missing mechanisms. In addition, the properties of the missing mechanism that produce estimates nearest to actual election results are investigated.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.105-124
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• 2003

What could be the relation between newspapers' tendency and readers' attitude on a particular affair\ulcorner That is, does newspapers' tendency on a particular affair influence readers' attitude on that matter or vice versa\ulcorner Or do they both influence each other\ulcorner These questions deserve to be answered. Owing to Internet Poll introduced in Korean newspapers from the mid-1990s and popular with newspaper readers (particularly with so called netizens), it becomes possible to grip the readers' attitude on a particular affair. And it is well known that newspapers' tendency on a particular affair is well reflected in the editorials. By analyzing and comparing the relation between newspapers' tendency and readers' attitude through internet poll on a particular affair, we understand whether there is a correlation between them or not.