• Title/Summary/Keyword: Social opinion

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Automatic Retrieval of SNS Opinion Document Using Machine Learning Technique (기계학습을 이용한 SNS 오피니언 문서의 자동추출기법)

  • Chang, Jae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.5
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    • pp.27-35
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    • 2013
  • Recently, as Social Network Services(SNS) are becoming more popular, much research has been doing on analyzing public opinions from SNS. One of the most important tasks for solving such a problem is to separate opinion(subjective) documents from others(e.g. objective documents) in SNS. In this paper, we propose a new method of retrieving the opinion documents from Twitter. The reason why it is not easy to search or classify the opinion documents in Twitter is due to a lack of publicly available Twitter documents for training. To tackle the problem, at first, we build a machine-learned model for sentiment classification using the external documents similar to Twitter, and then modify the model to separate the opinion documents from Twitter. Experimental results show that proposed method can be applied successfully in opinion classification.

A Study on Fashion Leadership Among Married Women - Fashion Leadership as Related to social Participation, Mass Comunication, and socioeconomic Level- (기혼녀의 패션리더쉽에 관한 연구 -사회참여도, 대중전달매체이용도, 사회경제수준에 따른 패션리더쉽-)

  • Kim Young Sook;Kim Min Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.8 no.2
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    • pp.11-17
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    • 1984
  • The purpose of this study was to explore the characteristics of Fashion leadership in relation to social partipation, mass communication, and socioeconomic level among married women living in Seoul. Fashion opinion leadership was measured by Schrank Fashion Opinion Leadership Inventory. Fashion Preference Scale was designed to determinefashion innovativeness. Social parti-cipationana mass communication were assessed by selected items from the inventory of Summer and Kim. Hollingshead's two-factor index and weighting system was selected to assess socioeconomic level. The questionnaires were adminstered to a random sample of married women in Seoul. The date for 214 respondents were analyzed by Pearson correlation, analysis of variance, and t-teat. The results were as followers : 1) Fashion opinion leadership was significantly related to fashion preference. 2) Fashion leadership was significantly related to social participation, mass communication, socioeconomic level. 3) There was a significant difference between fashion leadership and age. 4) Women's occupation had little influence on fashion opinion leadership as well as fashion preference.

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Sentiment Analysis for Public Opinion in the Social Network Service (SNS 기반 여론 감성 분석)

  • HA, Sang Hyun;ROH, Tae Hyup
    • 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.

Validation of a Korean Version of the Professional Opinion Scale (한국어판 사회복지 가치 지향 척도(Professional Opinion Scale)의 신뢰도와 타당도 평가 - 사회복지 실천가를 대상으로 -)

  • Kim, Yong-Seok;Ha, Ji-Seoun;Lee, Eun-Young;Seo, Jeong-Min;Kim, Jong-Pill
    • Korean Journal of Social Welfare
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    • v.63 no.3
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    • pp.157-185
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    • 2011
  • Although social work values are stressed among social work educators as well as practitioners, empirical studies on values have been very scarce. The objective of this study is to validate a Korean Version of the Professional Opinion Scale(POS). The Korean version was validated with a sample of 325 social worker working in various types of social work agencies. A series of confirmatory factor analysis suggested that 8 items be removed, resulting in 32 items with 4 factors. The Korean version has the same factor structure as the original version of the POS reported by its developer. The Korean version of the POS are found to be a reliable and valid instrument for measuring social work values. However, validation with more representative samples is needed to improve the quality of the Korean version of the POS.

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Newspapers Are Dead? A Case Study on Chinese Newspapers' Public Opinion Guidance in the Context of New Media

  • Ting, Yang
    • Asian Journal for Public Opinion Research
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    • v.8 no.1
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    • pp.22-40
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    • 2020
  • With social media booming, newspapers are facing an enormous challenge, and some have even had to exit the market. Likewise, their role as a main force of public opinion guidance in China has also been challenged. They have lost their vantage ground. The present study conducted a case study on one well-known Chinese online public opinion event. Through analyzing the newspapers' role played in different public opinion development stages, this study displayed how Chinese newspapers worked together and successfully guided online public opinion in that case. The newspapers' advantages in guiding public opinion and suggestions as to how newspapers can survive and guide public opinion in the new media era are put forward in the final section.

Focus Group Based Evaluation of Social Media Usage in Indonesia's Digital Government

  • Kartikawangi, Dorien
    • Asian Journal for Public Opinion Research
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    • v.8 no.1
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    • pp.41-58
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    • 2020
  • This article attempts to explain social media use within the relationship between the public and government of Indonesia in the era of digital government, as well as to consider public opinion on this matter. This research is based on the application of social media logic and the theory of dialogic communication and action. A qualitative descriptive approach was used to observe the general behavior of social media use by 34 ministries in Indonesia, including interviews with the resource persons within the ministries and focus group discussions with members of the public and observers. The research shows that the relationship between the public and government is accommodative and in line with social media logic. The public sector implemented social media as its platform, which has been further adopted by all ministries. The public sector cannot avoid social media, as it has become part of basic connectivity, even though the use of social media by the government still tends to be in the form of presenting public information. There are advantages and disadvantages of the usage of social media by the government. The advantages include allowing the government to be more open via social media so that communication between the government as the ruling organization and its public can be more fluent. Social media provides space to the public sector in the practice of digital government. Some disadvantages arise as logical consequences that usage of social media cannot be separated from the implementation of digital government. The adaptive behavior of social media by the government can be found by following social media logic as part of digital government implementation. Social media logic causes the government to follow the rules of social media. In this context, the strength and power of the country seems to be regulated by social media. Therefore, more studies on how social media is managed in the context of its usage as digital government support is needed.

A Collecting Model of Public Opinion on Social Disaster in Twitter: A Case Study in 'Humidifier Disinfectant' (사회적 재난에 대한 트위터 여론 수렴 모델: '가습기 살균제' 사건을 중심으로)

  • Park, JunHyeong;Ryu, Pum-Mo;Oh, Hyo-Jung
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.4
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    • pp.177-184
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    • 2017
  • The abstract should concisely state what was done, how it was done, principal results, and their significance. It should be less than 300 words for all forms of publication. Recently social disasters have been occurring frequently in the increasing complicated social structure, and the scale of damage has also become larger. Accordingly, there is a need for a way to prevent further damage by rapidly responding to social disasters. Twitter is attracting attention as a countermeasure against disasters because of immediacy and expandability. Especially, collecting public opinion on Twitter can be used as a useful tool to prevent disasters by quickly responding. This study proposes a collecting method of Twitter public opinion through keyword analysis, issue topic tweet detection, and time trend analysis. Furthermore we also show the feasibility by selecting the case of humidifier disinfectant which is a social issue recently.

The Impact of the Great East Japan Earthquake and Fukushima Daiichi Nuclear Accident on People's Perception of Disaster Risks and Attitudes Toward Nuclear Energy Policy

  • Iwai, Noriko;Shishido, Kuniaki
    • Asian Journal for Public Opinion Research
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    • v.2 no.3
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    • pp.172-195
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    • 2015
  • Multiple nationwide opinion surveys, carried out by the government (cabinet office), major media (national newspapers and NHK), the National Institute for Environmental Studies, and the Atomic Energy Society of Japan, have revealed that the Fukushima nuclear accident has heightened people's perception of disaster risks, fear of nuclear accidents, and increased recognition of pollution issues, and has changed public opinion on nuclear energy policy. The opinion gap on nuclear energy policy between specialists and lay people has widened since the disaster. The results of the Japanese General Social Survey data show that objections to the promotion of nuclear energy are strong among females, and weaker among young males and the supporters of the LDP. These findings are similar to the data collected after the Chernobyl accident. People who live in a 70km radius of nuclear plants tend to evaluate nuclear disaster risks higher. Distance from nuclear plants and the perception of earthquake risk interactively correlate with opinions on nuclear issues. Among people whose evaluation of earthquake risk is low, those who live nearer to the plants are more likely to object to the abolishment of nuclear plants. It was also found that the nuclear disaster has changed people's behavior; they now try to save electricity. The level of commitment to energy saving is found to relate to opinions on nuclear issues.

The Influence of Internet Use on Interpersonal Interaction among Chinese Urban Residents: The Mediating Effect of Social Identification

  • Chen, Hong;Qin, Jing;Li, Jing;Zheng, Guangjia
    • Asian Journal for Public Opinion Research
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    • v.3 no.2
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    • pp.84-105
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    • 2016
  • The instability of social norms on the Internet causes the diversity of social identification. Meanwhile, the anonymity of online social identity and the chaos of the role-playing among the interacting participants cause an ambiguity of identity recognition, which intensifies anxiety about interpersonal interaction. Methods that promote face-to-face interpersonal interaction through the reconstruction of the identification to the social system and intergroup trust is worth further research. Based on a telephone survey of urban residents in thirty-six cities in China (N=1080), the study focuses on the influence of Internet use on interpersonal interaction of urban residents and the mediation effect of social identification. The results show that Internet use has a negative effect on the interpersonal interactions of urban residents, and social identification plays a mediating effect between Internet use and interpersonal interaction. Implications of the results are discussed.