• Asian Journal for Public Opinion Research
• /
• 제4권3호
• /
• pp.123-165
• /
• 2017

In this paper, we look at mediation of public policies in different areas of governance. Editorials appearing in an Indian English language newspaper during the period of an intense public debate on the issue of affirmative action in favor of a section of the population, the Other Backward Classes (OBC) - a popular reference to the socially and educationally backward classes of citizens under India's constitution constitute the sample for the study. Apart from editorials on the public policy of reservation of seats in admission to higher education institutions for the OBC, editorials on three other areas of governance, namely, development, economy, and public administration appearing in the same newspaper, are also consulted to understand media framing of social issues and more specifically, issues of social justice. Inductively identifying the various frames used in its editorials by the newspaper, I detect predominant use of 'personalized' frame in respect of editorials pertaining to the policy area of social justice; and distinguish it from the 'generic' frame of 'characterization' found in theory. The study concludes that the sample editorials in respect of other public policies did not use the personalized frame found in editorials on social justice.

• 디지털콘텐츠학회 논문지
• /
• 제15권5호
• /
• pp.621-630
• /
• 2014

본 연구는 G. 레이코프와 M. 존슨이 제시한 '개념적 은유'를 적용해 소셜 네트워크 서비스의 은유적 특성을 분석하는 것을 목적으로 한다. 소셜 네트워크 서비스는 일방향적 소통만 가능했던 기존 매체와는 달리, 사용자가 참여적으로 자신의 일상을 표현하고 타인의 서사를 해석하는 과정을 통해서 그 텍스트를 확장한다. 기존 매체에서 수동적이던 독자가, SNS에서 적극적인 발화자로 전환될 수 있었던 가장 큰 이유는 SNS에 내재된 은유적 속성 때문이다. 이에 본 연구에서는 SNS 사용자 텍스트의 생성 및 해석 과정을 '근원영역'과 '목표영역'을 중심으로 고찰했다. 이후 은유적 속성을 통해 나타난 사용자 텍스트의 생성구조를 폴 리쾨르의 삼중 미메시스를 통해 증명했다. SNS를 환유로 전제했던 기존의 연구 관점과 달리, 본 연구는 SNS의 은유적 특성 및 의미를 제시했다는 점에서 그 의의가 있다.

• Asian Journal for Public Opinion Research
• /
• 제9권1호
• /
• pp.25-47
• /
• 2021

This study analyzes 419 fake news items published in India, a fake-news-prone country, to identify the major themes, content types, and sources of social media fake news. The results show that fake news shared on social media has six major themes: health, religion, politics, crime, entertainment, and miscellaneous; eight types of content: text, photo, audio, and video, text & photo, text & video, photo & video, and text & photo & video; and two main sources: online sources and the mainstream media. Health-related fake news is more common only during a health crisis, whereas fake news related to religion and politics seems more prevalent, emerging from online media. Text & photo and text & video have three-fourths of the total share of fake news, and most of them are from online media: online media is the main source of fake news on social media as well. On the other hand, mainstream media mostly produces political fake news. This study, presenting some novel findings that may help researchers to understand and policymakers to control fake news on social media, invites more academic investigations of religious and political fake news in India. Two important limitations of this study are related to the data source and data collection period, which may have an impact on the results.

• Asian Journal for Public Opinion Research
• /
• 제11권1호
• /
• pp.4-30
• /
• 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.

• 복식
• /
• 제58권2호
• /
• pp.1-14
• /
• 2008

This study aimed to investigate the associations between clothing consumption values and the ambivalent clothing consuming behavior of young female adults. To explain the ambivalent consuming behavior prevailing in the contemporary fashion market, five dimensional consumption values proposed by Sheth(1991) were adopted as explanatory factors, and fashion leadership and spending were included as moderating factors. Data collecting using written survey instrument yielded one hundred and seventy two complete responses from female consumers aged between 20 and 39. Factor analysis on clothing consumption values resulted in five dimensional structures of consumption values for the sample: expressive, epistemic, functional, social, and fashionable values. Among these, expressive, functional, and social values significantly affected ambivalent consuming behavior. The effect of expressive value was strong regardless of fashion innovativeness, opinion-leadership, and monthly income of consumers, however, the effects of epistemic, functional, and social values were changed depending on the moderating factors.

• Asian Journal for Public Opinion Research
• /
• 제3권4호
• /
• pp.156-175
• /
• 2016

This paper considers whether random sampling always produces more accurate survey results in the case of South Korea. We compare information from the 2010 census to the demographic variables of three public opinion surveys from South Korea: Gallup Korea's Omnibus Survey (Survey A) is conducted every two months by Gallup Korea; the annual Social Survey (Survey B) is conducted by Statistics Korea (KOSTAT); the Korean General Social Survey (KGSS or Survey C) is conducted annually by the Survey Research Center (SRC) at Sungkyunkwan University (SKKU). Survey A uses quota sampling after randomly selecting the neighborhood and initial addresses; Survey B uses random sampling, but allows replacements in some situations; Survey C uses simple random sampling. Data from more than one year was used for each survey. Our analysis suggests that Survey B is the most representative in most respects, and, in some respects, Survey A may be more representative than Survey C. Data from Survey C was the least stable in terms of representativeness by geographical area and age. Single-person households were underrepresented in both Surveys A and C, but the problem was more severe in Survey A. Four-person households and married persons were both over-represented in Survey A. Less educated people were under-represented in both Survey A and Survey C. There were differences in income level between Survey A and Survey C, but income data was not available for Survey B or the census, so it is difficult to ascertain which survey was more representative in this case.

• 한국전자거래학회지
• /
• 제18권2호
• /
• pp.111-130
• /
• 2013

소셜 네트워크 서비스(SNS)의 이용이 확산되어 감에 따라, 경영학적 관점에서 SNS를 활용하기 위한 노력들이 다양하게 전개되고 있다. 특히, 구전효과와 같은 마케팅 분야에서의 연구가 활발히 진행되는 상황이다. 본 논문에서는 SNS에서 지인이 작성한 구전 정보가 SNS 사용자의 제품에 대한 태도에 미치는 영향에 대하여 살펴보았다. 또한, 지인의 오피니언 리더십이 이러한 구전효과에 어떠한 영향을 미치는지를 연구하였다. 51명의 페이스북 사용자를 대상으로 자신들의 지인 4인에 대하여 각각 설문 응답을 받아 분석을 실시하였다. 회귀분석 결과, SNS 환경에서도 구전효과가 존재한다는 것이 검증되었으며, 구전 정보를 작성한 지인의 오피니언 리더십이 이러한 구전효과에 양의 조절효과가 있다는 것이 검증되었다.

• 보건교육건강증진학회지
• /
• 제28권2호
• /
• pp.1-13
• /
• 2011

Objectives: This study investigated beliefs of Koreans on the usefulness of various resources they use to alleviate depressive symptoms and to identify factors affecting the beliefs on different approaches to depressive symptoms. Methods: A household survey was conducted on a stratified sample of adults of age 18~74 (N=1,607) in 2009. The participants were asked to read a case vignette of depression and to provide their opinion about usefulness of 39 types of resources as ways of addressing the symptoms. Factors affecting opinions on usefulness of various resources were examined with logistic regression. Results: The three approaches identified via factor analysis were believed to be useful in the order of 'psychological/relational/activity-oriented', 'lifestyle/cultural', and 'physical/medical' approaches. The logistic regression analyses revealed that correct recognition of symptoms increased the likelihood of positive opinion about psychological and physical approaches, and so did having current symptoms about physical and popular approaches. Past help-seeking experience increased the likelihood of negative opinion about physical approach, however. Conclusions: Strategies to adopt various types of resources need to be developed, including rigorous use of psychosocial methods, mechanisms to control service quality, and the integration of diverse resources into the current community mental health services.

• 경영정보학연구
• /
• 제22권4호
• /
• pp.59-74
• /
• 2020

본 연구는 소셜 감성(social sentimental)을 긍정 및 부정적 의견으로 구분하여 이들 의견이 개별 기업의 주식수익률에 미치는 영향이 비대칭적인지(asymmetric) 분석하였다. 이를 위하여 한국거래소에서 활발하게 거래되고 트위터 의견도 충분한 기아차, 아모레퍼시픽, 포스코, 한국전력 등 4개 기업을 분석대상으로 하였다. 주요 분석 결과는 다음과 같다. 첫째, 긍정적 의견은 개인투자자의 거래 비중이 상대적으로 낮은 아모레퍼시픽의 주식수익률에는 영향을 주지 못한 반면 나머지 3개 기업의 주식수익률에는 유의한 양(+)의 영향을 주었다. 둘째, 부정적 의견은 4기업의 주식수익률에 모두 유의하게 음(-)의 영향을 주는 것으로 나타났다. 특히 부정적 의견이 긍정적 의견보다 주식수익률에 미치는 영향이 더 크게 나타났으며, 이는 투자자들이 손실회피 성향 등으로 수익보다 손실에 더 민감하기 때문으로 보인다. 본 연구는 트위터의 긍정 또는 부정적 의견이 주식수익률에 비대칭적(asymmetric)으로 영향을 미치는 것을 발견하였으며, 이는 트위터의 의견을 투자자 심리(sentiment) 대용변수(proxy)로 활용할 수 있음을 보여준다.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
• /
• 한국정보과학회언어공학연구회 2018년도 제30회 한글 및 한국어 정보처리 학술대회
• /
• pp.652-657
• /
• 2018

With the rapid development of e-commerce, many customers can now express their opinion on various kinds of product at discussion groups, merchant sites, social networks, etc. Discerning a consensus opinion about a product sold online is difficult due to more and more reviews become available on the internet. Opinion Mining, also known as Sentiment analysis, is the task of automatically detecting and understanding the sentimental expressions about a product from customer textual reviews. Recently, researchers have proposed various approaches for evaluation in sentiment mining by applying several techniques for document, sentence and aspect level. Aspect-based sentiment analysis is getting widely interesting of researchers; however, more complex algorithms are needed to address this issue precisely with larger corpora. This paper introduces an approach of knowledge representation for the task of analyzing product aspect rating. We focus on how to form the nature of sentiment representation from textual opinion by utilizing the representation learning methods which include word embedding and compositional vector models. Our experiment is performed on a dataset of reviews from electronic domain and the obtained result show that the proposed system achieved outstanding methods in previous studies.