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A Method to Measure the Self-Supplied News Volumes of Internet Newspaper Company
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 Title & Authors
A Method to Measure the Self-Supplied News Volumes of Internet Newspaper Company
Kim, Dong-Joo; Lee, Won Joo;
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The growth of internet infrastructure and a tremendous increment of internet users lead actively to found internet newspaper publishing companies, which are able to dig up and publish own news articles. In disregard of these quantitative growth of internet newspaper companies, the qualitative growth of them doesn`t coincide with the quantitative growth. Therefore, to require social responsibility and to build healthy media environment, Korean government has put in force registration system of internet newspaper company. According to this system, internet newspaper companies have to produce at the inside over 30 percent of weekly publications, and this requisite increases the needs of its verification. This paper investigates technologies to measure the self-supplied news volumes of internet newspaper company, examines validity of them, and presents appropriate method to measure. To compare huge amount of news articles rapidly, the presented method is based on the modified edit-distance, which reflects human cognition of word and empirical information related with it. To prove correctness of our presented method, we show experimental results for some real internet news articles.
Internet Newspaper;Document Similarity;Edit-distance;Needleman-Wunsch Algorithm;
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