• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.84-94
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• 2018

This study analyzed domestic media articles from 1920 to 2017 using R 3.4, a big data analysis tool. In addition, it examines the sexual minority discourse reproduced through the media for about 100 years, focused on the role of the film as an art of struggling with the projective aversion to sexual minorities. sexual minorities in movies are not abominable. They are people we already know in our daily lives, and they are just different in sexual orientation. In general, sexual minorities are less likely to encounter in everyday life, so they are experienced and perceived through what the media present. It is noteworthy that the representation of sexual minorities in the media is formed as a major agenda of our society by publicizing the problems underlying society on the surface. It causes social issues to be raised by revealing and highlighting the problems that are regarded as alienated and avoided from the mainstream's gaze. The content provided by the media enables a three-dimensional experience of subjects who have not experienced it by themselves, and has a decisive influence in correctly recognizing and judging society. Media content suggests that it can be a powerful weapon of recognition struggle that can naturally fight against social hatred without using methods such as demonstrations or protests.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.431-453
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• 2022

Hate is a collective expression of exclusivity toward others and it is fostered and reproduced through false public perception. This study aims to explore the objects and issues of hate discussed in our society using text mining techniques. To this end, we collected 17,867 news data published from 1990 to 2020 and constructed a co-word network and cluster analysis. In order to derive an explicit co-word network highly related to hate, we carried out sentence split and extracted a total of 52,520 sentences containing the words 'hate', 'prejudice' and 'discrimination' in the preprocessing phase. As a result of analyzing the frequency of words in the collected news data, the subjects that appeared most frequently in relation to hate in our society were women, race, and sexual minorities, and the related issues were related laws and crimes. As a result of cluster analysis based on the co-word network, we found a total of six hate-related clusters. The largest cluster was 'genderphobic', accounting for 41.4% of the total, followed by 'sexual minority hatred' at 28.7%, 'racial hatred' at 15.1%, 'selective hatred' at 8.5%, 'political hatred' accounted for 5.7% and 'environmental hatred' accounted for 0.3%. In the discussion, we comprehensively extracted all specific hate target names from the collected news data, which were not specifically revealed as a result of the cluster analysis.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.499-510
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• 2020

This study aims to analyze the causes of Internet hate speech, which has recently been emerging as a serious social problem and to seek for countermeasures. The experiences of hate speech are examined through the analysis of college students' essays and the causes and solutions of hate speech are suggested through the in-depth interviews with the experts. College students experience hate speech on the Internet on the basis of attributes such as age, gender, sexual orientation, and regionalism. Online comments on news, social media and online games are the main sources in spreading hate speech. On a personal level the lack of awareness of human dignity and the absence of media education are diagnosed as the reasons for online hate speech. The social reasons for online hate speech lie in the lack of human rights education and the problems of the media. In order to improve the problems of Internet hate speech, various suggestions are proposed on the legal, social and educational levels.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.543-553
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• 2015

This study examined factors associated homophobia among 638 Korean male and female college students nationwide. Study outcome is homophobia and predictors include demographics, sexual permissiveness, sexual behavior, self-esteem, and the interactions between sexual behavior and self-esteem. Study findings indicate that gender, sexual permissiveness, self-esteem were statistically significantly associated with homophobia among Korean college students. The interaction effect between sexual behavior and self-esteem was significantly associated with homophobia although sexual behaviors were not. This study makes a contribution to the growing literature on factors affecting homophobia among Korean college students.