• The Korean Journal of Applied Statistics
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• v.10 no.2
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• pp.203-213
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• 1997

This paper studied criteria of the domestic and international opinion poll for the news publication which is necessary to report and analyze its opinion poll results. Adequate criteria are provided and case studies are performed. Therefore present study is aiming at drawing the further discussion about the criteria of the news publication.

• Asian Journal for Public Opinion Research
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• v.11 no.4
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• pp.274-303
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• 2023

The third-person perception phenomenon can consistently be found in opinion poll news, but it remains unknown what determines the degree of the third-person perception (TPP) about specific election poll news. We investigated how respondents' preferred candidate's status in the poll affects the perceived impact of polling news on both themselves (PMI1) and on others (PMI3) as well as TPP (PMI3 - PMI1). We also examined the effect of subjective political knowledge and the perceived level of political knowledge of others on TPP. An online experiment was conducted in the context of a gubernatorial election in South Korea, in which the leading candidate in the poll and the question order (self-question first vs. other-question first) were manipulated. The results indicated that PMI1 and PMI3 were greater when the respondent's preferred candidate was leading in the poll. TPP did not differ depending on subjective knowledge, but it was greater when the others were non-experts (vs. experts). Lastly, question order was found to be a method factor that affected both PMI1 and PMI3. The theoretical and practical implications of these findings are discussed.

• Korean journal of communication and information
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• v.39
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• pp.284-323
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• 2007

This study aims to examine the relation between opinion perception and opinion expression by issue types by analyzing online poll results and respective bulletin boards. To find out how opinion poll results affect the public opinion perception cues and opinion expression through the internet, the study applied a method of content analysis to the online contents provided by Naver.com, one of the most popular portal sites in Korea. A total of four issue types, along with 2,250 messages were chosen for analysis. The study results revealed that internet users perceived opinion atmosphere through the poll results and expressed their opinions depending on the issue types. In case of an issue where majority views are manifested as online poll results, users tended to follow that majority views by retaining their initial opinion. Majority opinion by the poll results held a dominant position in bulletin board. The results partially support Noelle-Neuman(1994)'s spiral of silence theory in the context of computer-mediated communication contrary to the belief that anonymity in the cyberspace tends to encourage participation of minority opinion group. According to the findings, people when they perceive their opinion as that of minority are discouraged to express their views even when they are online.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.431-441
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• 2008

A public opinion poll's importance is at this time increasing now. Especially, a news report with a fair and objective execution and investigative reporting Moral Code is very important. But a research on the basis of investigative reporting Moral Code is not yet carried out. In this paper, with the center of a public opinion poll involved in the 17th Presidential Election of Korea, investigative reporting Moral Code has been analyzed measurably how well observed in the Press. Furthermore, it has been compared with findings carried out in the year 2002. Finally, through comparing response rate with actual results acquired in a survey of public opinion, I proposed a response rate acquisition.

• Asian Journal for Public Opinion Research
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• v.5 no.1
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• pp.15-40
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• 2017

This paper addresses the zero-sum of soft power against the backdrop of the rise of China and the relative "decline" of America. It attempts to find out that whether the "decline" of America's soft power is caused by the rise of China's soft power, and whether China's rise could guarantee with certainty the growth of soft power. In light of the particularity of South Korea, that is, its economy relies on China and its security relies on the US, this paper chooses South Korea as the entry point for the study. Based on the Pew data from a South Korean opinion poll, this paper conducts bivariate correlation and binary logistic regression respectively, to explore the existence of zero-sum "competitions" between China's and America's soft power.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.111-120
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• 2020

As an application of big data and artificial intelligence techniques, this study proposes an atypical language-based sentimental opinion poll methodology, unlike conventional opinion poll methodology. An alternative method for the sentimental classification model based on existing statistical analysis was to collect real-time Twitter data related to parliamentary elections and perform empirical analyses on the Polarity and Intensity of public opinion using attribute-based sensitivity analysis. In order to classify the polarity of words used on individual SNS, the polarity of the new Twitter data was estimated using the learned Lasso and Ridge regression models while extracting independent variables that greatly affect the polarity variables. A social network analysis of the relationships of people with friends on SNS suggested a way to identify peer group sensitivity. Based on what voters expressed on social media, political opinion sensitivity analysis was used to predict party approval rating and measure the accuracy of the predictive model polarity analysis, confirming the applicability of the sensitivity analysis methodology in the political field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1800-1808
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• 2022

During the election period, many polling agencies survey and distribute the approval ratings for each candidate. In the past, public opinion was expressed through the Internet, mobile SNS, or community, although in the past, people had no choice but to survey the approval rating by relying on opinion polls. Therefore, if the public opinion expressed on the Internet is understood through natural language analysis, it is possible to determine the candidate's approval rate as accurately as the result of the opinion poll. Therefore, this paper proposes a method of inferring the approval rate of candidates during the election period by synthesizing the political comments of users through internet community posting data. In order to analyze the approval rate in the post, I would like to suggest a method for generating the model that has the highest correlation with the actual opinion poll by using the KoBert, KcBert, and KoELECTRA models.

• Asian Journal for Public Opinion Research
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• v.2 no.1
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• pp.32-51
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• 2014

Quality of Life in Pakistan is an understudied and rather unexplored domain. With various definitions and challenges to explaining quality of life, a public opinion poll and scientific surveys have been conducted in order to find out more about the quality of life in Pakistan. Using a nationally representative sample, this paper seeks to identify quality of life measures, find results, and analyze them to see what they mean, specifically in the context of Pakistan.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1677-1685
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• 2004

This is the analysis of the inquiry performed from April to May, 2004 for the effect of the high speed railways opened April 1st, 2004. This study tried to find the problem of KTX by an opinion poll and to improve the KTX service.

• The Korean Journal of Applied Statistics
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• v.20 no.1
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• pp.61-78
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• 2007

A method for poll analysis using information theory and data visualization is proposed in this paper. Questions of opinion poll consist of a target variable and many explanation variables. The type of explanation variables is either numerical or categorical. In this study, explanation variables of mixed types have been ranked according to the magnitude of their effect on target variable by using mutual information. Likewise, the order of explanation variables has been evaluated using data visualization. This is the first study to quantify the impact of specific explanation variable on the related target variable.