지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
This research is an attempt to classify injurious comment spam based on a collection of instances in online news and to suggest a method of improvement that can be implemented by the netizens.The types of injurious comment spam comprise of abusive language, vulgarism, false rumors, sexual expressions, discriminative expressions, verbal violence, and insulting remarks. Among the 1,529 instances of the retrieved data, frequently occurring forms are abusive language(35.1%), vulgarism (28.9%), derision remarks(10%), verbal violence(9.2%) and ethnic discrimination (8.3%).As a part of the research we posted some suggestions to the comment spam. Among the resuls are：no more spam added on that(63.8%), and deleted the injurious spams by the posters or by the operators(28.1%). Some netizens added some refined comments and/or positive responses to the posting. Only a few of them consistently added the injurious comment spam disregarding the given suggestion(4.8%).As a pilot study, it is suggested in the paper that the clean-up efforts by netizens are a highly efficient and powerful method to reduce injurious comment spam.
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