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 consistent for articles across all news companies, regardless of political orientation. However, web portals have the power to regulate gender-based hate speech on their sites. Daum operates a reporting system for discrimination and hate speech and has significantly fewer hate speech postings compared to Naver, which lacks such a system. This study empirically analyzed the changes in the quantity of gender-based hate speech and found that web portals, commonly classified as bystanders or gatekeepers, can play a functional role in reducing online gender-based hate speech.
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