• Title/Summary/Keyword: social bias

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The Implications of Feminist Epistemology for Knowledge Production in Social Welfare (사회복지연구를 위한 페미니스트 인식론의 비평과 함의)

  • Sung, Jung-Suk;Lee, Na-Young
    • Korean Journal of Social Welfare
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    • v.62 no.2
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    • pp.349-373
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    • 2010
  • The purpose of this paper is to critically analyze the way of knowledge production in social welfare and to graft feminist epistemology to the discipline of social welfare. To put it more concretely, as analyzing the epistemological and methodological issues appeared in the articles in "orean Journal of Social Welfare", this study examines the meanings of feminist epistemology and its implications to research and practice in social welfare. From its onset, feminist research criticized the 'mainstream' ways of conceptualizing knowledge construction via research conducted upon a positivist epistemological position. Particularly, western feminists have problematized the androcentric bias embedded within the so-called 'social sciences' that we have taken for granted as 'scientific,' 'objective,' and 'neutral,' and attempted to redirect and reformulate the way of knowledge production with new concepts of 'strong objectivity,' 'partial/situated knowledge,' and 'strong reflection.' We believe that the implications of feminist epistemology to enable us to reflect the power relationship between subject and object, I and Other, and the researcher and the researched will contribute to recover the original vision of social welfare as critical theory and liberating practice in social work.

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IMPROVING SOCIAL MEDIA DATA QUALITY FOR EFFECTIVE ANALYTICS: AN EMPIRICAL INVESTIGATION BASED ON E-BDMS

  • B. KARTHICK;T. MEYYAPPAN
    • Journal of applied mathematics & informatics
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    • v.41 no.5
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    • pp.1129-1143
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    • 2023
  • Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

Investigation into the Future Direction of Multicultural Education to Decrease Bias against Multicultural Students: A Case Study of Kwangju.Jeonnam Region (다문화 가정 학생 편견 감소를 위한 다문화교육 방향성 모색 -광주.전남지역을 사례로 -)

  • Hong, Ki-Dae
    • Journal of the Korean association of regional geographers
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    • v.17 no.4
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    • pp.381-394
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    • 2011
  • In Korea, the number of foreigners reached about 1,260,000. So we are now living in a multicultural society. There are more than 36,000 multicultural students in kindergarten, elementary, middle, and high school(2010's standards). In other words, Still more multicultural students are expected to increase in the future. As a matter of fact, one of the biggest problems which mixed couples and immigrants from other countries have had is most concerned about possible bias and discrimination of their children. Study has shown that multicultural students are alienated from the others at school, because of their skin colours, the pronunciation they speak Korean, and maladjustment in their school life. Actually, multi-cultural education program should be applied to the first grade in elementary school. Besides, teachers have to direct multicultural and general students with integrated education. Study also found that it is necessary to use more visuals and pictures as the main multi-cultural education. And books and CDs should be used as guide materials. It's desirable that the appropriate time to teach relate to lesson.

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Herding Behavior Model in Investment Decision on Emerging Markets: Experimental in Indonesia

  • RAHAYU, Sri;ROHMAN, Abdul;HARTO, Puji
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.53-59
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    • 2021
  • This research aims to examine the model of investor herding behavior in making investment decisions in the Indonesian capital market, which is influenced by social and information impacting on the value of the Book Value Per Share (BVPS). The latest stock market conditions show that most investors make the same error pattern in making investment decisions that result in losses. The experiment involves two independent variables, namely, information about BVPS and social influence. This study used a 2×2 factorial design laboratory experimental method. Data collection was carried out through treatment of a sample of 100 individual investors listed on the Indonesia Stock Exchange. Univariate Two-Way Analysis of Variance (ANOVA) statistical tool was used to test the independent variable on the dependent variable. Research results showed that the social influence originating from expert investors is more influential than the Book Value Per Share (BVPS) information on the behavior of herding investors in making investment decisions. These findings suggest that investors know their psychological factors, thereby increasing self-control and investment analysis skills. Further research can use psychological bias and other indicators of accounting relevant information such as Earning Per Share (EPS) to test herding behavior in investment decision making in the capital market.

The Effects of Preferred Job Type of University Students on the Confirmation Bias and Job Anxiety (대학생의 선호직업유형이 확증편향과 취업불안에 미치는 영향)

  • Roh, Seon-Hee;Kim, Ki-Seung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.190-199
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    • 2019
  • This quantitative study analyzed the influence of college students' preferred type of occupation on a confirmation bias and job anxiety during the process of making a career decision. The questionnaires were distributed to university students in Seoul and the metropolitan area for 500 weeks from July 10 2017 to August 8, 2017. Among them, 482 valid samples of data were analyzed by data coding and data cleaning usin SPSS 18.0 statistics and the AMOS 18.0 program. The main results of this study are that the type of business preference for an affirmative bias has a positive (+) direct influence (${\beta}=.374$) and the type of freedom has a positive direct influence (${\beta}=.326$) and a negative direct influence (${\beta}=-.274$). In the case of job anxiety, the influence of job type is more increased. The confirmation bias shows that the business type and freestyle type find cause in effort or achievement motive, while rect type is recognized as social environment and structural problem. In conclusion, there is a difference in the degree of confirmation bias and job insecurity. This study shows that college students' preferred occupation types can help them to understand the bias and anxiety that they have in preparing for the job and help to reduce job anxiety, and these findings are expected to be useful for career guidance.

Filtered Randomized Response Technique

  • Choi, Kyoung-Ho
    • Communications for Statistical Applications and Methods
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    • v.13 no.2
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    • pp.319-326
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    • 2006
  • Randomized response technique is a survey technique for eliminating evasive answer bias. This technique is popular in social survey for sensitive issues. In this paper we present a simple and obvious procedure for estimating the population proportion of a sensitive group. Here, we shows the weak point in the method of Kim and Warde (2005). Also, it is found that the proposed procedure is more efficient than the ones of Warner (1965) and Kim and Warde (2005). Lastly we discuss the conditions that the suggested method will be more efficienct.

Abusive Language in Chinese and English

  • Zeng, Jinwen;Odhiambo, Calvin;Marlow, David
    • Cross-Cultural Studies
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    • v.28
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    • pp.141-161
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    • 2012
  • Abusive language used by college students reflects current social attitudes and values. Adopting a comparative and cross-cultural perspective, this study examines the frequency and perceived severity of abusive language in English and Mandarin Chinese. Because abusive language often includes sexual connotations, this paper employs a particular concentration on sexism. Gender differences in the use of abusive language illustrate a male bias across cultures.

The Effects of Homeownership on Welfare Perceptions (자가소유가 복지인식에 미치는 영향)

  • Paik, Jong-Gyu
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.6_3
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    • pp.1261-1273
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    • 2022
  • Homeownership is much more than a financial calculation. It is a socio-psychological phenomenon. During the last decade studies of homeownership have demonstrated a positive link between homeownership and positive social outcomes including welfare perceptions and attitudes. This study compared welfare perceptions between homeowners and renters in Korean Welfare Panel Survey using data collected in 2019. The study analyzed six continuous outcomes of welfare perceptions. Six variables indicating welfare perceptions included: (1) welfare and work disincentives; (2) welfare recipients are lazy; (3) welfare selectivism; (4) national minimum; (5) free university education and; (6) free child care and kindergarten. This study acknowledged bias arising from selection on observables. To control these biases, this study employed analytical approaches including the treatment effect model. Results of this study confirmed that attainment of homeownership is not possible for everyone. Findings from this study have provided some evidence that homeowners and renters have different perceptions on welfare listed above. Finally, issues relating to homeownership and welfare perceptions were discussed. Implications for social work practice and research were further discussed.

Homeownership Effects on Participation in Giving and Volunteering (자가소유가 기부와 자원봉사 참여에 미치는 영향)

  • Paik, Jong-Gyu
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.6_3
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    • pp.1293-1302
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    • 2022
  • The relationship between homeownership and participation in giving and volunteering overall indicates that homeowners are more likely to give and participate in volunteering organizations than renters. This study compared 'giving and participation in volunteering between homeowners(n=6,078) and renters(3,587) in the 14th Korean Welfare Panel Survey data collected in 2019. The outcome measure of study is a binary outcome of giving and volunteering participation. This study accounted for a bias arising from selection on observables. Specifically, this study employed a recursive bivariate probit model to simultaneously estimate respondents' participation in giving and volunteering participation and their selection of homeownership. Findings from this study have provided some evidence that homeowners and renters have different behaviors in giving and volunteering participation. Finally, issues relating to homeownership and social outcomes were discussed. Implications for social work practice and research were further discussed.

Trust Evaluation Metrics for Selecting the Optimal Service on SOA-based Internet of Things

  • Kim, Yukyong
    • Journal of Software Assessment and Valuation
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    • v.15 no.2
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    • pp.129-140
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    • 2019
  • In the IoT environment, there is a huge amount of heterogeneous devices with limited capacity. Existing trust evaluation methods are not adequate to accommodate this requirement due to the limited storage space and computational resources. In addition, since IoT devices are mainly human operated devices, the trust evaluation should reflect the social relations among device owners. There is also a need for a mechanism that reflects the tendency of the trustor and environmental factors. In this paper, we propose an adaptable trust evaluation method for SOA-based IoT system to deal with these issues. The proposed model is designed to minimize the confidence bias and to dynamically respond to environmental changes by combining direct evaluation and indirect evaluation. It is expected that it will be possible to secure trust through quantitative evaluation by providing feedback based on social relationships.