2022
DOI: 10.37181/jscs.2022.6.4.013
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Big Data Analysis of Online Gender-Based Hate Speech: With a focus on comments on web portal news articles

Abstract: Current studies on online gender-based hate speech have focused on legal regulations and countermeasures. In this study, we analyzed, using a data mining technique, comments on news articles about gender issues published on web portals. Our analysis of articles published by various newspaper companies on Naver and Daum revealed that hate speech in comments was significantly higher for articles reporting on specific events related to gender issues than for general articles on gender issues. This trend is consis… Show more

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Cited by 2 publications
(7 citation statements)
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“…Previous research and survey data also support our findings, indicating that gender-based hate speech has continued to increase in Naver (M. Y. Choi et al 2022) and that the most targeted groups for online hate speech are women and feminists (K.-h. Kim, Cho, and Bae 2020).…”
Section: Everyday Backlash and Quiet Feminism In Sheltered Environmentssupporting
confidence: 87%
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“…Previous research and survey data also support our findings, indicating that gender-based hate speech has continued to increase in Naver (M. Y. Choi et al 2022) and that the most targeted groups for online hate speech are women and feminists (K.-h. Kim, Cho, and Bae 2020).…”
Section: Everyday Backlash and Quiet Feminism In Sheltered Environmentssupporting
confidence: 87%
“…Furthermore, a small number of major portals, such as Naver, are primary channels for accessing news and expressing opinions through anonymous comments, facilitating the rapid spread of hate speech (M. Y. Choi et al 2022). 4 Recent studies report increasing gender-based hate speech on Naver, Korea's largest portal (M. Y.…”
Section: Everyday Backlash and Quiet Feminismmentioning
confidence: 99%
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