• Asian Journal for Public Opinion Research
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• v.1 no.3
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• pp.153-202
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• 2014

Aside from political leaders' popularity rates and the stock exchange index of business firms, ordinary people are highly interested in aspects of daily life, such as housing, income, health, family, food, human relations and work. Cross-national opinion polls on daily-life satisfaction were carried out in Japan, South Korea, Thailand, Hong Kong, Macao, the Philippines, India, Myanmar, Taiwan, China, Malaysia and Pakistan in the fall of 2013 and winter 2014. The percent difference index (PDI) is formulated as the sum of two positive responses (satisfied and somewhat satisfied) minus the sum of two negative responses (dissatisfied and somewhat dissatisfied). Percent difference indices are given according to society and daily-life aspects. For our analysis to go beneath national average and to go beyond national borders, two lines of analysis are carried out. First, the distance between the level of satisfaction of the top and bottom quartiles is given for each society and according to each of the daily-life aspects. Second, the regional sum of satisfaction of the top quartiles and bottom quartiles are shown crossed by daily-life aspects. In this article we confine ourselves to preliminary comparative description and analysis. More solid and deep comparisons will be carried out by local polling leaders of 12 Asian societies in the succeeding issue of the Asian Journal of Public Opinion Research. Nevertheless, two key threads stand out from this preliminary comparisons. First, social relations (family and human relations) stand out as most satisfied aspects of life in most of twelve societies. Second, the need to go beneath national averages and beyond national borders in analyzing cross-national surveys is confirmed. The comparability and validity of cross-national surveys with varying sampling method and survey mode are briefly discussed toward the end of the article.

• Asian Journal for Public Opinion Research
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• v.5 no.1
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• pp.41-62
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• 2017

The political reformation in Indonesia is a determinant factor of the change in political communications and the roles of media. Currently, the political elites need media support, since it contextually has a significant role. Whoever has a good relationship with the media, will be loved by the public. On the other hand, the media also have a vested interest in the elite in running businesses and building the power of industry. Policies and capital pose a challenge to maintaining the continuity of the media. Independence and control of media are at stake, when the interests of the media and the elite collaborate with each other and then build a benefit on both sides. Meanwhile, the role of social media also cannot be neglected. The Indonesian political communication system is characterized by the presence of social media in a pseudo-relationship between the elite and the public. This paper tries to explain the growing trends of research in the academic environment and the research trends in political practice in Indonesia after the occurrence of post-reformation era in legislative and executive elections. The method used is the meta-analysis of research outcomes of university (dissertations) and secondary data sources. Data processing is done by meta-analysis of secondary data. The results of meta-analysis research indicate that, the objective conditions, in Indonesia, especially the political conditions, stimulate new spaces in communication research. The study of political communication becomes dominant in the academic environment. In addition, communication research is also characterized by a shift from the linear perspective (positivistic paradigm) to the interactive perspective (naturalistic paradigm). On the other hand, the development of politic and governance situations in Indonesia has prompted the establishment of polling agencies that help citizens understand the maps of political power and candidates in general elections and regional head elections.

• The Korean Journal of Applied Statistics
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• v.31 no.5
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• pp.655-665
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• 2018

Social network services (SNS) have become the most common tool for the communication of public and private opinions as well as public issues; consequently, one may form or drive public opinions to advocate by spreading positive content using SNS. Controversy for survey data based opinion poll accuracy continues in relation to response rate or sampling methodology. This study suggests complementary measures that additionally consider the sentiment analysis results of unstructured data on a social network by data crawling and sentiment dictionary adjustment process. The suggested method shows the improvement of prediction accuracy by decreasing error rates.

• Nuclear Engineering and Technology
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• v.51 no.2
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• pp.626-630
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• 2019

After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilities are considered to be one of the essential factors in the national energy and electricity policy-making process of several nations that employ nuclear energy as their key energy resource. However, it is difficult to explore and capture such an attitude, because the majority of prior studies analyzed public attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplement this point, this study suggests a big data analyzing method with K-LIWC (Korean-Linguistic Inquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes, positive and negative emotional statements about nuclear energy with the collected data sets of well-known social media and network services in Korea over time. Results show that several events and accidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of the statements, depending on the kind of events and accidents. The presented methodology and the use of big data in relation to the energy industry is suggested as it can be helpful in addressing and exploring public attitudes. Based on the results, implications, limitations, and future research areas are presented.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.195-201
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• 2018

Smartphones and PCs have become essential components of our daily life. People are expressing their opinions freely in SNS by using these devices. We are able to predict public opinions on specific subject by analyzing the related big data in SNS. In this paper, we have collected opinion data in SNS and analyzed reputation by text mining in order to make a prediction for the will of the people before 19th presidential election in South Korea. The result shows that our method makes more accurate estimate than other election polls.

• Survey Research
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• v.4 no.1
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• pp.1-29
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• 2003

Telephone surveys miss, among other people, those who live in homes without telephones, people who are away from home at the time of interview and people who refuse to be interviewed. Recently, mobile phone survey has emerged as “A replacement technology” to the old telephone survey method. Mobile survey enables us to do many things we could not do or could not afford to do before, and reatly enhance the efficiency if the opinion surveys. Very specifically, the mobile survey enables us to control respondent's accessability, interviewer bias and to do incredibly fast and at a affordable costs. The authors analyze the results of mobile-phone local election polls and ELSI bio-technology attitude survey. The authors describe their results, the methods they used, including the use of demographic and propensity weighting to correct for substantial biases in the raw, unweighted data. The results show that mobile survey can predict the election outcomes with approximately equal accuracy to that of the telephone poll after weighting. This paper also cautions readers not to assume that mobile survey can be used with equal success in other elections and emphasizes the need for continuing research to improve mobile survey methods in the future.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.857-874
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• 1998

The objective of this study is to collect the opinions on the present condition and the improvement directions of urban health centers from and to make a comparison. Samples were drawn from the various sources of a district in seoul. 53 persons involved in district health's administration(the Members of a District Parliament, the senior officials of a District office, village chief) and 84 health center workers were surveyed with anonymous postal questionaires and 427 district private medical personnels with postal questionaires and 625 users of a health center with direct questionaires, from November 18 to 25, 1996. Additionally, 12,151 households were surveyed with self-reported questionaires including priorities on special district health services of health center, from September 1 to 7, 1996. The major findings were as follows : 1) Although the persons involved in district health administration tend to put lower priority on health service over other community activities, they well acknowledged the importance of health center. But health center workers strongly acknowledged the importance of both health service and heath center. 2) As to the level of human resoureces, equipments and ammenities of Health Center commpared with private medical institute, the persons involved in district health's administration and health center workers responded that health center was higher in following order : 54.9%, 41.6%, 36.5% and 88.0%, 80.7%, 44.1%. 3) Concerning the priorities of health center's improvement, the persons involved in district health's administration replied in the order of reinforcement of proffesional health workers (43.3%), improvement of equipments and ammenities(28.3%), and the health center workers replied in the order of reconstruction of organization(24.1%), public health education and promotion(22.8%), reinforcement of proffesional health workers(21.0%). 4) Both the persons involved in district health's administration and health center workers replied that Ministry Health and Welfare, District office, health center were essential as the most critical organizations in the activation of Health Center's Function. 5) Persons involved in district health's administration and health center workers chose, as the most important health center's Function, medical treatment and prevention of infectious disease, and prevention of acute and chrone disease control and special district health service, respectively. Both Groups replied that fammily planning and parasite control are no longer in need. 6) As the future health service requiring reinforcement, every human resources parties considered health conselling, health line, sex education as the most imortant elements in public health education. Concerning the reinforement of other health services such as medical checkup and visiting nurses, every human resources parties showed more than 80% approval rate, but for oriental medical care service, the private medical personels showed relatively low approval rate(52.9%). Therefore the planning for reinforcement of health center's function requires the reflection of human resources party's opinion and the implication of system which can control and combine the differences in party's opinions.