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• W2123449924 abstract "In this work, we design a method for blog comment spam detection using the assumption that spam is any kind of uninformative content. To measure the informativeness of a set of blog comments, we construct a language and tokenization independent metric which we call content complexity, providing a normalized answer to the informal question how much information does this text contain? We leverage this metric to create a small set of features well-adjusted to comment spam detection by computing the content complexity over groupings of messages sharing the same author, the same sender IP, the same included links, etc." @default.
• W2123449924 created "2016-06-24" @default.
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• W2123449924 date "2012-10-19" @default.
• W2123449924 modified "2023-09-30" @default.
• W2123449924 title "Robust detection of comment spam using entropy rate" @default.
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• W2123449924 doi "https://doi.org/10.1145/2381896.2381907" @default.
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