• Title/Summary/Keyword: Social Perceptions

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How Partisan Voters Dispense Reward and Punishment for Government Performance: The Influence of Partisan Blame Attribution on Trust in Government (당파적 유권자는 정부의 국정 운영에 대해 어떻게 문책하는가?: 정부의 국정 운영 평가와 정부 신뢰, 그리고 당파적 책임 귀속)

  • Sung, Yaejin;Gil, Jung-ah
    • Korean Journal of Legislative Studies
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    • v.27 no.1
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    • pp.79-115
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    • 2021
  • Voters' negative evaluations of government performance lower their trust in government, which functions as the reward and punishment for the government. Trust in government thus serves to promote political accountability of the representative government. However, voters build their confidence toward the party government where the ruling party is responsible for the performance. Considering this partisan nature, we empirically examine that the influence of voters' performance evaluations on governmental trust is conditional on their party identifications. While higher perceptions of political/social conflict and increasing negative evaluations of government policies and economic performance are associated with the lower level of confidence in government, the relationship is contrasted between different party identifiers. For supporters of the ruling party in 2020, the negative evaluations of government performance are not likely to reduce trust in government a lot. On the contrary, those who identify with the main opposition party show the most prominent effect of negative evaluations on their distrust in government. This study demonstrates that trust in government is affected by voters' partisan preferences, not entirely by evaluations of government performance. Such a distortion of the reward and sanction function of governmental trust might lead to the weakening of the accountability mechanism in representative democracy.

Ingroup's Apology For Past Wrongdoing Can Increase Outgroup Dehumanization (과거 잘못에 대한 집단 간 사과의 역설적 효과: 외집단 비인간화를 중심으로)

  • Hyeon Jeong Kim;Sang Hee Park
    • Korean Journal of Culture and Social Issue
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    • v.25 no.1
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    • pp.79-99
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    • 2019
  • Apologies are used with increasing frequency for mending damaged relations between groups after intergroup conflict. Past research revealed that members of a perpetrator group may engage in (animalistic) dehumanization of victim group members to cope with guilt and responsibility associated with the ingroup's past wrongdoing. We hypothesized that ingroup's apology would relieve perpetrator group members of the moral threat, and therefore would make them perceive more humanness in the victim group members. The study was conducted in the context of South Korea's alleged atrocities against Vietnamese civilians during its military involvement in the Vietnam War. Korean participants read an article on the incidents with Korean government's issuance of an official apology manipulated, and reported their thoughts on the incidents and perceptions of Vietnamese people including their humanness. Contrary to our prediction, apology further enhanced dehumanization of Vietnamese people, even while it also decreased dehumanization through heightened feelings of relief. This study documents a seemingly ironic effect of intergroup apology, and calls for a more careful examination of the consequences of apology before recommending it as a viable strategy for alleviating intergroup tensions.

Text Mining Analysis of Media Coverage of Maritime Sports: Perceptions of Yachting, Rowing, and Canoeing (텍스트마이닝을 활용한 해양스포츠에 대한 언론 보도기사 분석: 요트, 조정, 카누를 중심으로)

  • Ji-Hyeon Kim;Bo-Kyeong Kim
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.609-619
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    • 2023
  • This study aimed to investigate the formation of the social perception of domestic maritime sports using text mining analysis of keywords and topics from domestic media coverage over the past 10 years related to representative maritime sports, including yachting, rowing, and canoeing. The results are as follows: First, term frequency (TF) and word cloud analyses identified the top keywords: "maritime," "competition," "experience," "tourism," "world," "yachting," "canoeing," "leisure," and "participation." Second, semantic network analysis revealed that yachting was correlated with terms like "maritime," "industry," "competition," "leisure," "tourism," "boat," "facilities," and "business"; rowing with terms like "competition" and "Chungju"; and canoeing with terms like "maritime," "competition," "experience," "leisure," and "tourism." Third, topic modeling analysis indicated that yachting, rowing, and canoeing are perceived as elite sports and maritime leisure sports. However, the perception of these sports has been demonstrated to have little impact on society, public opinion, and social transformation. In summary, when considering these results comprehensively, it can be concluded that yachting and canoeing have gradually shifted from being perceived as elite sports to essential elements of the maritime leisure industry. Contrariwise, rowing remains primarily associated with elite sports, and its popularization as a maritime leisure sport appears limited at this time.

Gambling Behavior, Gambling-related Problem, and The Satisfaction with Life among the Residents Who Live in the Location of Casinos (카지노 유치지역 주민의 도박참여 및 도박중독 실태와 삶의 만족도: 강원도 폐광지역을 중심으로)

  • In-Hyae Yi
    • Korean Journal of Culture and Social Issue
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    • v.11 no.4
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    • pp.67-82
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    • 2005
  • The purpose of this study was to explore whether or not the increased availability of legalized gambling leads to increase in the prevalence of gambling-related problems, and the relationship between gambling behaviors and gambling-related problems and residents' perceptions of their own satisfaction with life among the residents who live at the location of casinos. Three casino communities, designated by a special law as run-down mining areas, were chosen for the survey research. One community consisted of two towns, Kohan and Sabuk in Chongsun county at which the casino is located. The other communities were Taeback city and other rural areas in Chongsun county. 559 samples from three communities completed self-administered questionnaires(gambling behavior participation, K-NODS, perceived impacts coward casino development, and scales of the satisfaction with life). Results were as follows; it was found that there was a positive relationship between gambling behaviors and gambling-related problems, and a negative relationship between gambling-related problems and the satisfaction with life. While residents who live Kohan and Sabuk community were likely to perceive negative impacts of the casino development, the residents in Taeback city were likely to perceive the casino development positively. It was found that the increased casino accessibility led co the increase in the gambling problems; the prevalence rates of pathological gambling in Kohan and Sabuk community were higher than both in Taebak city and in more rural areas in Chongsun county. The nagative impacts of legalized casino industry on community where the casino located were discussed.

Intention to Participate Crowdfunding based on Trust and Perceived Risk: An Exploratory Study with Comparison between Korea and Austria (이용자의 신뢰와 위험인지에 따른 크라우드펀딩(Crowdfunding) 참여의도: 한국과 오스트리아 탐색적 비교 연구)

  • JiHyun Lee;SangAh Park;DongBack Seo
    • Information Systems Review
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    • v.22 no.1
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    • pp.125-146
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    • 2020
  • With the penetration of the Internet and e-commerce, a 'crowdfunding' has emerged as a new way of financing. Crowdfunding has the advantage for a person to able to a simple way to finance her/his an innovative product or service from crowd. However, the success rate for crowdfunding projects is less than half. In this study, we introduce social exchange theory to explore the impact of trust and perceived psychological risk on the intention to participate in a crowdfunding website. Different from previous studies that have focused on a crowdfunding creator, we consider two different perspectives of a project creator and a project supporter. In addition, we compare perceptions of crowdfunding in different cultural contexts by conducting survey in two different countries Korea and Austria. Result shows that trust in recommendation and trust in website have different impacts on the intention to participate from two different perspectives. It also shows that perception of the quality and transparency of information provided by crowdfunding website has greater impact on trust in Korea than that in Austria. In case of perception of psychological risk, it has a negative impact on Austria's intention to create or support a project. On the other hand, it has relatively small impact on the intention to support and does not affect the intention to create a project in Korea.

Effectiveness of Virtual Human Disclosure: The Impact of Identity Exposure on Users' Attitude Toward the Ad and Source Credibility (가상 인간의 정체성 노출이 소비자의 광고 태도와 정보원 공신력에 미치는 영향)

  • Young Jun Sohn;Yoonhyuk Jung
    • Information Systems Review
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    • v.25 no.2
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    • pp.205-227
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    • 2023
  • Recently, Virtual Human(VH) has begun to appear in various media, not only on social media, but also in advertisements, music sources, and dramas. Virtual human has become a primary marketing tool for companies, but there also exist concerns when the companies do not disclose the identities of virtual humans. Accordingly, it is necessary to examine users' responses toward content that features virtual humans. This study aimed to examine how the exposure of virtual humans in the content affects users' perceptions. Therefore, the study defined the concept of 'VH Disclosure(VHD)', referring to the exposure of the virtual human's identity, and explored the impact of VH disclosure on attitude toward the ad (Hedonism, Utilitarianism, and Interestingness) and source credibility (Trustworthiness and Expertise). The study conducted an experimental survey with 302 respondents. Regardless of when the ad featured a VH or a human, the results showed that there was no significant difference between users' attitudes and source credibility. The results revealed that it was more effective to disclose the VH in social media feeds than directly reveal the VH's identity in the content. Therefore, this study utilizes a new concept of 'VH Disclosure(VHD)' to enhance the understanding of VH and contributes to establishing marketing strategies optimized for consumers in the creation of virtual human-related content.

A Study on the Social Perception of Jiu-Jitsu Using Big data Analysis (빅데이터 분석을 활용한 주짓수의 사회적 인식 연구)

  • Kun-hee Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.209-217
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    • 2024
  • The purpose of this study is to explore development plans by analyzing social interests and perceptions of jiu-jitsu using big data analysis. Network analysis, centrality analysis, and CONCOR analysis were conducted by collecting data for the last 10 years of major domestic portal sites. First, 'judo' was found to be the most important related word in network analysis, and 'judo' was also an important word in the analysis of dgree centrality. In the closeness centrality analysis, "defender" was the most important word, and "sports" was the most important word in betweenness centrality. Finally, as a result of CONCOR analysis, four clusters (related sports and marketing, jiu-jitsu competitions, belt test, supplies and expenses) were formed. As a conclusion of the study, first, words such as 'judo', 'exercise', 'competition', 'dobok', 'gym', and 'graduation' should be actively used to promote jiu-jitsu.As a conclusion of the study, first, words such as 'judo', 'exercise', 'contest', 'dobok', 'gym', and 'graduation' should be actively used to promote jiu-jitsu. Second, it is necessary to share information on training costs through various routes, to make awareness of the graduation process or method common, and to develop safety products and create a safe training culture. Third, it is necessary to find ways to continuously increase the influx of new trainees by attracting steady competitions.

Identifying Personal Values Influencing the Lifestyle of Older Adults: Insights From Relative Importance Analysis Using Machine Learning (중고령 노인의 개인적 가치에 따른 라이프스타일 분류: 머신러닝을 활용한 상대적 중요도 분석 )

  • Lim, Seungju;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.13 no.2
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    • pp.69-84
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    • 2024
  • Objective : This study aimed to categorize the lifestyles of older adults into two types - healthy and unhealthy, and use machine learning to identify the personal values that influence these lifestyles. Methods : This cross-sectional study targeting middle-aged and older adults (55 years and above) living in local communities in South Korea. Data were collected from 300 participants through online surveys. Lifestyle types were dichotomized by the Yonsei Lifestyle Profile (YLP)-Active, Balanced, Connected, and Diverse (ABCD) responses using latent profile analysis. Personal value information was collected using YLP-Values (YLP-V) and analyzed using machine learning to identify the relative importance of personal values on lifestyle types. Results : The lifestyle of older adults was categorized into healthy (48.87%) and unhealthy (51.13%). These two types showed the most significant difference in social relationship characteristics. Among the machine learning models used in this study, the support vector machine showed the highest classification performance, achieving 96% accuracy and 95% area under the receiver operating characteristic (ROC) curve. The model indicated that individuals who prioritized a healthy diet, sought health information, and engaged in hobbies or cultural activities were more likely to have a healthy lifestyle. Conclusion : This study suggests the need to encourage the expansion of social networks among older adults. Furthermore, it highlights the necessity to comprehensively intervene in individuals' perceptions and values that primarily influence lifestyle adherence.

Perception and Appraisal of Urban Park Users Using Text Mining of Google Maps Review - Cases of Seoul Forest, Boramae Park, Olympic Park - (구글맵리뷰 텍스트마이닝을 활용한 공원 이용자의 인식 및 평가 - 서울숲, 보라매공원, 올림픽공원을 대상으로 -)

  • Lee, Ju-Kyung;Son, Yong-Hoon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.4
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    • pp.15-29
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    • 2021
  • The study aims to grasp the perception and appraisal of urban park users through text analysis. This study used Google review data provided by Google Maps. Google Maps Review is an online review platform that provides information evaluating locations through social media and provides an understanding of locations from the perspective of general reviewers and regional guides who are registered as members of Google Maps. The study determined if the Google Maps Reviews were useful for extracting meaningful information about the user perceptions and appraisals for parks management plans. The study chose three urban parks in Seoul, South Korea; Seoul Forest, Boramae Park, and Olympic Park. Review data for each of these three parks were collected via web crawling using Python. Through text analysis, the keywords and network structure characteristics for each park were analyzed. The text was analyzed, as were park ratings, and the analysis compared the reviews of residents and foreign tourists. The common keywords found in the review comments for the three parks were "walking", "bicycle", "rest" and "picnic" for activities, "family", "child" and "dogs" for accompanying types, and "playground" and "walking trail" for park facilities. Looking at the characteristics of each park, Seoul Forest shows many outdoor activities based on nature, while the lack of parking spaces and congestion on weekends negatively impacted users. Boramae Park has the appearance of a city park, with various facilities providing numerous activities, but reviewers often cited the park's complexity and the negative aspects in terms of dog walking groups. At Olympic Park, large-scale complex facilities and cultural events were frequently mentioned, emphasizing its entertainment functions. Google Maps Review can function as useful data to identify parks' overall users' experiences and general feelings. Compared to data from other social media sites, Google Maps Review's data provides ratings and understanding factors, including user satisfaction and dissatisfaction.

Analysis of News Agenda Using Text mining and Semantic Network Analysis: Focused on COVID-19 Emotions (텍스트 마이닝과 의미 네트워크 분석을 활용한 뉴스 의제 분석: 코로나 19 관련 감정을 중심으로)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.47-64
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    • 2021
  • The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.