Collecting and Analyzing Japanese Splogs based on Characteristics of Keywords


  • Yuuki Sato University of Tsukuba
  • Takehito Utsuro University of Tsukuba
  • Tomohiro Fukuhara University of Tokyo
  • Yasuhide Kawada Navix Co., Ltd.
  • Yoshiaki Murakami Navix Co., Ltd
  • Hiroshi Nakagawa University of Tokyo
  • Noriko Kando National Institute of Informatics



This paper focuses on analyzing (Japanese) splogs based on various characteristics of keywords contained in them. We estimate the behavior of spammers when creating splogs from other sources by analyzing the characteristics of keywords contained in splogs. Since splogs often cause noises in word occurrence statistics in the blogosphere, we assume that we can efficiently collect splogs by sampling blog homepages containing keywords of a certain type on the date with its most frequent occurrence. We manually examine various features of collected blog homepages regarding whether their text content is excerpt from other sources or not, as well as whether they display affiliate advertisement or out-going links to affiliated sites. Among various informative results, it is important to note that more than half of the collected splogs are created by a very small number of spammers.




How to Cite

Sato, Y., Utsuro, T., Fukuhara, T., Kawada, Y., Murakami, Y., Nakagawa, H., & Kando, N. (2021). Collecting and Analyzing Japanese Splogs based on Characteristics of Keywords. Proceedings of the International AAAI Conference on Web and Social Media, 2(1), 218-219.